diff --git a/__pycache__/analyze.cpython-314.pyc b/__pycache__/analyze.cpython-314.pyc
deleted file mode 100644
index a1a6d38..0000000
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diff --git a/analysis.jsonl b/analysis.jsonl
deleted file mode 100644
index cc23f9d..0000000
--- a/analysis.jsonl
+++ /dev/null
@@ -1,46 +0,0 @@
-{"time": "21:22:12", "frame": 0, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 204, "action_points": 140}}
-{"time": "21:22:13", "frame": 1, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 204, "action_points": 140}}
-{"time": "21:22:14", "frame": 2, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 204, "action_points": 140}}
-{"time": "21:22:16", "frame": 3, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 203, "action_points": 140}}
-{"time": "21:22:17", "frame": 4, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 202, "action_points": 140}}
-{"time": "21:22:18", "frame": 5, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 202, "action_points": 140}}
-{"time": "21:22:20", "frame": 6, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 201, "action_points": 140}}
-{"time": "21:22:21", "frame": 7, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 201, "action_points": 140}}
-{"time": "21:22:22", "frame": 8, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 200, "action_points": 140}}
-{"time": "21:22:23", "frame": 9, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 200, "action_points": 140}}
-{"time": "21:22:24", "frame": 10, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 200, "action_points": 140}}
-{"time": "21:22:26", "frame": 11, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 199, "action_points": 140}}
-{"time": "21:22:27", "frame": 12, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 198, "action_points": 140}}
-{"time": "21:22:28", "frame": 13, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 198, "action_points": 140}}
-{"time": "21:22:29", "frame": 14, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1971, "action_points": 140}}
-{"time": "21:22:30", "frame": 15, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1971, "action_points": 140}}
-{"time": "21:22:32", "frame": 16, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 196, "action_points": 140}}
-{"time": "21:22:33", "frame": 17, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 196, "action_points": 140}}
-{"time": "21:22:34", "frame": 18, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 196, "action_points": 140}}
-{"time": "21:22:36", "frame": 19, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 195, "action_points": 140}}
-{"time": "21:22:37", "frame": 20, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 194, "action_points": 140}}
-{"time": "21:22:38", "frame": 21, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 194, "action_points": 140}}
-{"time": "21:22:40", "frame": 22, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 193, "action_points": 140}}
-{"time": "21:22:41", "frame": 23, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 193, "action_points": 140}}
-{"time": "21:22:43", "frame": 24, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1921, "action_points": 140}}
-{"time": "21:22:44", "frame": 25, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1921, "action_points": 140}}
-{"time": "21:22:46", "frame": 26, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1911, "action_points": 140}}
-{"time": "21:22:47", "frame": 27, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 190, "action_points": 140}}
-{"time": "21:22:49", "frame": 28, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 190, "action_points": 140}}
-{"time": "21:22:50", "frame": 29, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 189, "action_points": 140}}
-{"time": "21:22:52", "frame": 30, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 189, "action_points": 140}}
-{"time": "21:22:53", "frame": 31, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 188, "action_points": 140}}
-{"time": "21:22:55", "frame": 32, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 188, "action_points": 140}}
-{"time": "21:22:56", "frame": 33, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 28, "health": 40, "inventory": 1871, "action_points": 140}}
-{"time": "21:22:58", "frame": 34, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 1871, "action_points": 140}}
-{"time": "21:22:59", "frame": 35, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 186, "action_points": 140}}
-{"time": "21:23:01", "frame": 36, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:02", "frame": 37, "is_harvesting": false, "harvest_pixel": "#664c33", "harvest_luma": 81, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:04", "frame": 38, "is_harvesting": false, "harvest_pixel": "#664c33", "harvest_luma": 81, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:05", "frame": 39, "is_harvesting": false, "harvest_pixel": "#664c33", "harvest_luma": 81, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:07", "frame": 40, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:08", "frame": 41, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:10", "frame": 42, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 185, "action_points": 140}}
-{"time": "21:23:12", "frame": 43, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 184, "action_points": 140}}
-{"time": "21:23:13", "frame": 44, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 184, "action_points": 140}}
-{"time": "21:23:15", "frame": 45, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": null, "health": 40, "inventory": 183, "action_points": 140}}
diff --git a/analyze.py b/analyze.py
deleted file mode 100644
index 5ac27df..0000000
--- a/analyze.py
+++ /dev/null
@@ -1,127 +0,0 @@
-"""Lightweight image analysis for live capture feedback.
-
-All stats are computed on a small downsampled copy so the demo loop stays
-fast at full 1080p capture.
-"""
-
-from collections import Counter
-
-from PIL import Image
-
-ANALYSIS_SIZE = (320, 180)
-_TOP_COLORS = 5
-
-# Harvesting is detected from the single pixel at this window coordinate.
-# Harvesting shows a light tan (~#f2c285, luma ~201); idle shows dark brown
-# (~#664c33, luma ~81).
-HARVEST_PIXEL = (1710, 1068)
-HARVEST_LUMA_THRESHOLD = 140
-
-# The small numeric readout just before each bar at the bottom of the panel.
-# Regions are (x0, y0, x1, y1) in captured-window pixel coordinates. y0 starts
-# below the panel's top border line (y=1032) which would confuse OCR.
-NUMBER_REGIONS = {
-    "mana": (0, 1033, 62, 1048),
-    "food": (195, 1033, 226, 1048),
-    "health": (355, 1033, 389, 1048),
-    "inventory": (520, 1033, 552, 1048),
-    "action_points": (610, 1033, 714, 1048),
-}
-
-_OCR_SCALE = 3
-
-try:
-    import pytesseract
-except ImportError:
-    pytesseract = None
-
-
-def _luma(pixel):
-    r, g, b = pixel
-    return round(0.299 * r + 0.587 * g + 0.114 * b)
-
-
-def load_image(path):
-    """Load a PNG as RGB; return None if the file is unreadable/corrupt."""
-    try:
-        return Image.open(path).convert("RGB")
-    except OSError:
-        return None
-
-
-def is_harvesting(image):
-    """Return whether the player is harvesting, based on the harvest pixel."""
-    rgb = image.convert("RGB")
-    color = rgb.getpixel(HARVEST_PIXEL)
-    lum = _luma(color)
-    return {
-        "is_harvesting": lum >= HARVEST_LUMA_THRESHOLD,
-        "color": "#%02x%02x%02x" % color,
-        "luma": lum,
-    }
-
-
-def _ocr_number(image, region):
-    """OCR a single number region; return int or None if it can't be read."""
-    if pytesseract is None:
-        return None
-    crop = image.convert("L").crop(region)
-    crop = crop.resize((crop.width * _OCR_SCALE, crop.height * _OCR_SCALE))
-    crop = crop.point(lambda p: 0 if p < 140 else 255)
-    try:
-        text = pytesseract.image_to_string(
-            crop,
-            config="--psm 7 -c tessedit_char_whitelist=0123456789",
-        )
-    except Exception:
-        return None
-    digits = "".join(ch for ch in text if ch.isdigit())
-    return int(digits) if digits else None
-
-
-def read_bar_values(image):
-    """Return the numeric readout before each bar, or None if unreadable."""
-    rgb = image.convert("RGB")
-    return {
-        name: _ocr_number(rgb, region)
-        for name, region in NUMBER_REGIONS.items()
-    }
-
-
-def _pixels(image):
-    px = image.load()
-    w, h = image.size
-    return [px[x, y] for y in range(h) for x in range(w)]
-
-
-def summarize(image):
-    """Return size, mean RGB, and dominant colors of a captured frame."""
-    small = image.convert("RGB").resize(ANALYSIS_SIZE)
-    pixels = _pixels(small)
-    n = len(pixels)
-    total = [0, 0, 0]
-    for r, g, b in pixels:
-        total[0] += r
-        total[1] += g
-        total[2] += b
-    mean = tuple(round(c / n) for c in total)
-    top = Counter(pixels).most_common(_TOP_COLORS)
-    dominant = [
-        {"hex": "#%02x%02x%02x" % color, "fraction": round(count / n, 3)}
-        for color, count in top
-    ]
-    return {"size": (image.width, image.height), "mean_rgb": mean, "dominant": dominant}
-
-
-def difference(a, b):
-    """Sum of absolute channel differences between two same-size RGB images."""
-    if a.size != b.size:
-        return None
-    pa, pb = a.load(), b.load()
-    w, h = a.size
-    diff = 0
-    for y in range(h):
-        for x in range(w):
-            ca, cb = pa[x, y], pb[x, y]
-            diff += abs(ca[0] - cb[0]) + abs(ca[1] - cb[1]) + abs(ca[2] - cb[2])
-    return diff
diff --git a/analyze/AGENTS.md b/analyze/AGENTS.md
new file mode 100644
index 0000000..1744b0a
--- /dev/null
+++ b/analyze/AGENTS.md
@@ -0,0 +1,144 @@
+# AGENTS.md
+
+Guidance for AI agents working in this repo. Read before editing. The goal of
+these rules is to keep the code clean, consistent, and easy to extend without
+breaking the JSONL log contract or the test suite.
+
+## Project in one line
+
+Capture the Eternal Lands X11 window, detect harvesting + the 5 HUD bar
+numbers, track the draggable Manufacturing/Inventory windows, OCR the craft
+status message, and append one JSON object per frame to a JSONL log for a
+future "observer" to consume.
+
+## Commands
+
+Run everything through the project virtualenv — the system Python is
+externally managed (PEP 668) and lacks the deps:
+
+```bash
+source .venv/bin/activate          # then plain python/pytest work
+# or, without activating:
+.venv/bin/python -m pytest tests/ -v
+.venv/bin/python main.py
+.venv/bin/python main.py --replay tests/images/harvesting
+```
+
+- Always run the full test suite before finishing: `.venv/bin/python -m pytest tests/`
+- If you add a Python dependency, add it to `requirements.txt` and install it
+  into `.venv`.
+
+## Architecture and responsibilities
+
+- `capture.py` — the ONLY module that touches X11. Returns PIL RGBA images.
+- `analyze.py` — pure functions only (no I/O, no side effects). Every function
+  takes a PIL image (or path) and returns data. Includes window detection
+  (`verify_window`, `find_windows`), craft-message OCR
+  (`read_manufacturing_message`), and `classify_message`.
+- `main.py` — CLI, capture loop, replay mode, JSON record construction, and
+  logging. Owns all file/stdout I/O. Also owns the window-position cache
+  (`WindowTracker`): verify the cached position each frame, rescan the full
+  frame only when a window moves.
+- `tests/` — folder-driven pytest tests plus fixture images.
+
+Keep this split. New analysis logic goes in `analyze.py`. New ways to run the
+loop go in `main.py`. Never put capture logic in `analyze.py` or analysis in
+`capture.py`.
+
+## Code style
+
+- **No comments unless they explain WHY** (non-obvious decisions, measured
+  constants). Docstrings on public functions and modules are expected. Match
+  the existing tone: short, declarative docstrings; a brief comment only where
+  the reasoning is not obvious (e.g. "y0 starts at 1033 because row 1032 is
+  the panel border, which confuses OCR").
+- Standard library + the deps in `requirements.txt` only. Do not introduce
+  new heavy dependencies without a strong reason and a requirements.txt
+  update.
+- Return plain dicts/lists of primitives (JSON-serializable) from `analyze.py`
+  functions — never objects or PIL types — so results drop straight into the
+  log.
+- Function names are snake_case and descriptive (`is_harvesting`,
+  `read_bar_values`, `load_image`).
+- Module-level constants are UPPER_SNAKE_CASE; private helpers/constants are
+  `_leading_underscore`.
+- No type hints required, but if you add them keep them consistent across a
+  file.
+
+## Screen-coordinate calibration
+
+All pixel coordinates are measured values for a **1920x1080** window and live
+as constants at the top of `analyze.py` (`HARVEST_PIXEL`,
+`HARVEST_LUMA_THRESHOLD`, `NUMBER_REGIONS`).
+
+Window coordinates are **relative to the window title bar**, never fixed
+screen positions — the player can drag the Manufacturing/Inventory windows.
+Calibrated constants: `MESSAGE_SEARCH` (the craft message sits at
+`(title_x - 161, title_y + 121)`, verified at 5 different window positions)
+and the `TITLE_VERIFY_CROP`/`FIND_TITLE_OFFSETS` tuning.
+
+- When you change a coordinate or threshold, you MUST re-run the tests. If you
+  have a screenshot proving the new value, drop it in the right
+  `tests/images/` folder first so the tests verify your change.
+- Never "adjust" a coordinate in a test to make it pass. Verify against the
+  actual images.
+- If the game window resolution changes, the calibration must be redone from
+  real screenshots — do not guess coordinates.
+
+## Tests
+
+- Tests are **folder-driven**:
+  - `tests/images/harvesting/*.png` → `is_harvesting` must be True
+  - `tests/images/not_harvesting/*.png` → must be False
+  - `tests/images/corrupt/*.png` → `load_image` must return None, no crash
+  - `tests/images/manufacturing/<category>/*.png` → the craft message read at
+    the pinned title position must classify to `<category>`
+  - `tests/images/inventory/*.png` → `verify_window` at the pinned position
+- Adding an edge case = dropping a PNG into the right folder. Do that instead
+  of writing one-off test code, unless a new *expected value* must be pinned
+  (then update `tests/test_bars.py`, e.g. `INVENTORY_EXPECTED`, or
+  `tests/test_windows.py`, e.g. `MFG_POSITION`).
+- Keep fixture images small in number and real (actual captured frames), not
+  synthetic.
+- Pinned OCR values in `test_bars.py` are ground truth from real frames. If a
+  frame's expected value must change, verify the number by reading the image
+  — never just update the test to match a new wrong OCR result.
+
+## The JSONL log contract
+
+`main.py` appends one JSON object per line to `analysis.jsonl` (default).
+Shape:
+
+```json
+{"time": "…", "frame": 4, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 39, "health": 40, "inventory": 106, "action_points": 140}, "manufacturing_window": [1104, 327], "manufacturing_message": {"text": "you successfully created 1 potion of minor healing", "color": "green", "category": "success"}, "inventory_window": [1629, 686]}
+```
+
+- The future observer parses this log. **Do not change field names, types, or
+  add/remove fields casually.** If you must extend it, add new keys (never
+  repurpose existing ones) and update `design.md`.
+- `bars.*` may be `null` when OCR fails — consumers must tolerate that; keep
+  it that way.
+- `manufacturing_window` / `inventory_window` are `[x, y]` title-bar
+  coordinates, or `null` when the window is not currently verified.
+  `manufacturing_message` is `{text, color, category}` (`text`/`color` are
+  `null` when no message shows), or `null` when the window position is
+  unverified. Message categories: `working`, `success`, `stopped`, `failed`,
+  `failed_lost`, `hungry`, `overloaded`, `none`, `unknown`. Consumers must
+  tolerate all `null` cases.
+- Keep the log append-only and line-per-record (JSONL). It is tail-friendly.
+
+## Error handling
+
+- Analysis functions must never crash the capture loop. `analyze.py` catches
+  per-item failures (e.g. OCR returns `None` on error) and returns `None`
+  rather than raising.
+- Optional dependency pattern: `pytesseract` is imported inside
+  `try/except ImportError` and the module degrades gracefully
+  (`pytesseract = None`). Follow this pattern for any new optional dep.
+- Corrupt images → `load_image` returns `None`; callers skip them.
+
+## Docs
+
+- `design.md` — the source of truth for capabilities, calibration,
+  architecture, and the log format. Keep it in sync when you change behavior.
+- `AGENTS.md` — these rules. Update it if a convention changes.
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+++ b/analyze/analysis.jsonl
@@ -0,0 +1,256 @@
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+{"time": "13:52:39", "frame": 96, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 17, "health": 45, "inventory": 230, "action_points": 140}, "manufacturing_window": [220, 111], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:44", "frame": 97, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 17, "health": 45, "inventory": 230, "action_points": 140}, "manufacturing_window": [220, 111], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:46", "frame": 98, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 45, "inventory": 230, "action_points": 140}, "manufacturing_window": [220, 111], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:51", "frame": 99, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 45, "inventory": 229, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:53", "frame": 100, "is_harvesting": false, "harvest_pixel": "#664c33", "harvest_luma": 81, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 228, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:56", "frame": 101, "is_harvesting": false, "harvest_pixel": "#664c33", "harvest_luma": 81, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 228, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:52:58", "frame": 102, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 228, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:00", "frame": 103, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": null, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:02", "frame": 104, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 226, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:04", "frame": 105, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 225, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:06", "frame": 106, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 224, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:07", "frame": 107, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 223, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:09", "frame": 108, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 222, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:14", "frame": 109, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 32, "health": 44, "inventory": 22, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:16", "frame": 110, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 219, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:18", "frame": 111, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 218, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:19", "frame": 112, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": null, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:21", "frame": 113, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 216, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:23", "frame": 114, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 215, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:25", "frame": 115, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 215, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:26", "frame": 116, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 214, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:28", "frame": 117, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 213, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:30", "frame": 118, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 22, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:32", "frame": 119, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 2, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:34", "frame": 120, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 210, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:36", "frame": 121, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 209, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:38", "frame": 122, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 208, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:39", "frame": 123, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 207, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:41", "frame": 124, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 206, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:45", "frame": 125, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 206, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:47", "frame": 126, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 203, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:49", "frame": 127, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 203, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
+{"time": "13:53:51", "frame": 128, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 311, "health": 45, "inventory": 202, "action_points": 140}, "manufacturing_window": [224, 115], "manufacturing_message": {"text": "you stopped working.", "color": "red", "category": "stopped"}, "inventory_window": null}
diff --git a/analyze/analyze.py b/analyze/analyze.py
new file mode 100644
index 0000000..89eeef2
--- /dev/null
+++ b/analyze/analyze.py
@@ -0,0 +1,298 @@
+"""Lightweight image analysis for live capture feedback.
+
+All stats are computed on a small downsampled copy so the demo loop stays
+fast at full 1080p capture.
+"""
+
+from collections import Counter
+
+from PIL import Image
+
+ANALYSIS_SIZE = (320, 180)
+_TOP_COLORS = 5
+
+# Harvesting is detected from the single pixel at this window coordinate.
+# Harvesting shows a light tan (~#f2c285, luma ~201); idle shows dark brown
+# (~#664c33, luma ~81).
+HARVEST_PIXEL = (1710, 1068)
+HARVEST_LUMA_THRESHOLD = 140
+
+# The small numeric readout just before each bar at the bottom of the panel.
+# Regions are (x0, y0, x1, y1) in captured-window pixel coordinates. y0 starts
+# below the panel's top border line (y=1032) which would confuse OCR.
+NUMBER_REGIONS = {
+    "mana": (0, 1033, 62, 1048),
+    "food": (195, 1033, 226, 1048),
+    "health": (355, 1033, 389, 1048),
+    "inventory": (520, 1033, 552, 1048),
+    "action_points": (610, 1033, 714, 1048),
+}
+
+_OCR_SCALE = 3
+
+# --- Crafting windows -------------------------------------------------------
+# The Manufacturing and Inventory windows are semi-transparent panels the player
+# can drag around, so nothing about them is fixed in screen space. Their title
+# bars are located by OCR and everything else (status message, readouts) is
+# offset from the title top-left. Calibrated from the frame sets in snapshots/.
+TITLE_VERIFY_CROP = (14, 12, 150, 42)  # (left, top, width, height) rel. to a candidate point
+TITLE_VERIFY_THRESHOLD = 115
+TITLE_SUBSTRING = {"manufacturing": "anufact", "inventory": "nven"}
+
+# The craft status line sits at a fixed offset from the Manufacturing title,
+# measured at 5 different window positions: always (title_x - 161, title_y + 121).
+# A wider search region absorbs the few pixels of jitter from title detection.
+MESSAGE_SEARCH = (175, 105, 600, 70)  # (left, top, width, height) rel. to title
+MESSAGE_COLOR_GREEN = (170, 120, 30)  # (min green, min g-r, min g-b) for green text
+MESSAGE_COLOR_RED = (170, 100, 60)    # (min red, min r-g, min r-b) for red text
+GREEN_OCR_THRESHOLD = 150
+RED_OCR_THRESHOLD = 140
+MESSAGE_OCR_PSM = 6
+
+# Full-frame OCR is used to re-locate a window after it moves. Running it at two
+# scales recovers some frames that fail at one scale on busy scenes. The word
+# box OCR returns is usually the title itself (0..4px off) so the candidate
+# title offsets only nudge that box.
+FIND_OCR_SCALES = (1.0, 0.75)
+# The OCR word box usually sits on the title text; -7 covers the Inventory
+# window where OCR reads the glyph a few px below the verifying title bar.
+FIND_TITLE_OFFSETS = ((0, 0), (0, 4), (0, -7))
+
+try:
+    import pytesseract
+except ImportError:
+    pytesseract = None
+
+
+def _luma(pixel):
+    r, g, b = pixel
+    return round(0.299 * r + 0.587 * g + 0.114 * b)
+
+
+def load_image(path):
+    """Load a PNG as RGB; return None if the file is unreadable/corrupt."""
+    try:
+        return Image.open(path).convert("RGB")
+    except OSError:
+        return None
+
+
+def is_harvesting(image):
+    """Return whether the player is harvesting, based on the harvest pixel."""
+    rgb = image.convert("RGB")
+    color = rgb.getpixel(HARVEST_PIXEL)
+    lum = _luma(color)
+    return {
+        "is_harvesting": lum >= HARVEST_LUMA_THRESHOLD,
+        "color": "#%02x%02x%02x" % color,
+        "luma": lum,
+    }
+
+
+def _ocr_number(image, region):
+    """OCR a single number region; return int or None if it can't be read."""
+    if pytesseract is None:
+        return None
+    crop = image.convert("L").crop(region)
+    crop = crop.resize((crop.width * _OCR_SCALE, crop.height * _OCR_SCALE))
+    crop = crop.point(lambda p: 0 if p < 140 else 255)
+    try:
+        text = pytesseract.image_to_string(
+            crop,
+            config="--psm 7 -c tessedit_char_whitelist=0123456789",
+        )
+    except Exception:
+        return None
+    digits = "".join(ch for ch in text if ch.isdigit())
+    return int(digits) if digits else None
+
+
+def read_bar_values(image):
+    """Return the numeric readout before each bar, or None if unreadable."""
+    rgb = image.convert("RGB")
+    return {
+        name: _ocr_number(rgb, region)
+        for name, region in NUMBER_REGIONS.items()
+    }
+
+
+def verify_window(image, x, y, window):
+    """Return True if a window of the given kind has its title bar at (x, y)."""
+    if pytesseract is None:
+        return False
+    left, top, width, height = TITLE_VERIFY_CROP
+    crop = image.convert("L").crop((x - left, y - top, x - left + width, y - top + height))
+    crop = crop.resize((crop.width * _OCR_SCALE, crop.height * _OCR_SCALE))
+    crop = crop.point(lambda p: 0 if p < TITLE_VERIFY_THRESHOLD else 255)
+    try:
+        text = pytesseract.image_to_string(crop, config="--psm 7")
+    except Exception:
+        return False
+    return TITLE_SUBSTRING[window] in text.lower()
+
+
+def _color_mask(crop, kind):
+    """Return a binary mask isolating green or red text pixels in a crop."""
+    px = crop.load()
+    width, height = crop.size
+    if kind == "green":
+        lo, dr, db = MESSAGE_COLOR_GREEN
+        def hit(r, g, b):
+            return g > lo and g - r > dr and g - b > db
+    else:
+        lo, dg, db = MESSAGE_COLOR_RED
+        def hit(r, g, b):
+            return r > lo and r - g > dg and r - b > db
+    mask = Image.new("1", (width, height))
+    mask.putdata([1 if hit(*px[x, y]) else 0 for y in range(height) for x in range(width)])
+    return mask
+
+
+def _ocr_message_channel(crop, box, kind):
+    """OCR the green or red channel of a crop; return lowercased text or None."""
+    if pytesseract is None:
+        return None
+    channel = crop.split()[1] if kind == "green" else crop.split()[0]
+    channel = channel.crop(box)
+    threshold = GREEN_OCR_THRESHOLD if kind == "green" else RED_OCR_THRESHOLD
+    channel = channel.point(lambda p: 0 if p < threshold else 255)
+    channel = channel.resize((channel.width * _OCR_SCALE, channel.height * _OCR_SCALE))
+    try:
+        text = pytesseract.image_to_string(channel, config=f"--psm {MESSAGE_OCR_PSM}")
+    except Exception:
+        return None
+    text = " ".join(text.split()).lower()
+    return text or None
+
+
+def classify_message(text, color):
+    """Map an OCR'd craft status line to a stable category string."""
+    if not text:
+        return "none"
+    if color == "green":
+        if "started working" in text:
+            return "working"
+        if "successfully created" in text:
+            return "success"
+    if "stopped working" in text:
+        return "stopped"
+    if "lost the ingredients" in text:
+        return "failed_lost"
+    if "failed to create" in text or "failed to craft" in text:
+        return "failed"
+    if "hungry" in text:
+        return "hungry"
+    if "overloaded" in text:
+        return "overloaded"
+    return "unknown"
+
+
+def read_manufacturing_message(image, title_x, title_y):
+    """OCR the colored status line below a Manufacturing window title.
+
+    Returns {"text", "color", "category"} or None if OCR is unavailable.
+    """
+    if pytesseract is None:
+        return None
+    left, top, width, height = MESSAGE_SEARCH
+    region = image.convert("RGB").crop(
+        (title_x - left, title_y + top, title_x - left + width, title_y + top + height)
+    )
+    for kind in ("green", "red"):
+        box = _color_mask(region, kind).getbbox()
+        if box is None:
+            continue
+        pad = 2
+        box = (max(0, box[0] - pad), max(0, box[1] - pad),
+               min(region.width, box[2] + pad), min(region.height, box[3] + pad))
+        text = _ocr_message_channel(region, box, kind)
+        if text:
+            return {"text": text, "color": kind, "category": classify_message(text, kind)}
+    return {"text": None, "color": None, "category": "none"}
+
+
+def _find_title_words(image):
+    """Return candidate title word boxes from full-frame OCR.
+
+    Each entry is a {"window": kind, "x": float, "y": float} in full-frame
+    pixel coordinates. Words containing the wrong substring (e.g. "manufacture"
+    inside the hungry status message) are filtered out by the caller's verify.
+    """
+    if pytesseract is None:
+        return []
+    words = []
+    for scale in FIND_OCR_SCALES:
+        im = image.convert("L")
+        if scale != 1.0:
+            im = im.resize((int(im.width * scale), int(im.height * scale)), Image.BICUBIC)
+        try:
+            data = pytesseract.image_to_data(
+                im, config="--oem 1 --psm 11", output_type=pytesseract.Output.DICT
+            )
+        except Exception:
+            continue
+        for i, word in enumerate(data["text"]):
+            flat = word.lower().strip().replace(" ", "")
+            for kind, needle in TITLE_SUBSTRING.items():
+                if needle in flat:
+                    words.append(
+                        {"window": kind, "x": data["left"][i] / scale, "y": data["top"][i] / scale}
+                    )
+    return words
+
+
+def find_windows(image):
+    """Locate Manufacturing and Inventory windows from a full frame scan.
+
+    Returns {"manufacturing": (x, y) or None, "inventory": (x, y) or None}.
+    """
+    found = {"manufacturing": None, "inventory": None}
+    for word in _find_title_words(image):
+        kind = word["window"]
+        if found[kind] is not None:
+            continue
+        for dx, dy in FIND_TITLE_OFFSETS:
+            x, y = round(word["x"] + dx), round(word["y"] + dy)
+            if verify_window(image, x, y, kind):
+                found[kind] = (x, y)
+                break
+    return found
+
+
+def _pixels(image):
+    px = image.load()
+    w, h = image.size
+    return [px[x, y] for y in range(h) for x in range(w)]
+
+
+def summarize(image):
+    """Return size, mean RGB, and dominant colors of a captured frame."""
+    small = image.convert("RGB").resize(ANALYSIS_SIZE)
+    pixels = _pixels(small)
+    n = len(pixels)
+    total = [0, 0, 0]
+    for r, g, b in pixels:
+        total[0] += r
+        total[1] += g
+        total[2] += b
+    mean = tuple(round(c / n) for c in total)
+    top = Counter(pixels).most_common(_TOP_COLORS)
+    dominant = [
+        {"hex": "#%02x%02x%02x" % color, "fraction": round(count / n, 3)}
+        for color, count in top
+    ]
+    return {"size": (image.width, image.height), "mean_rgb": mean, "dominant": dominant}
+
+
+def difference(a, b):
+    """Sum of absolute channel differences between two same-size RGB images."""
+    if a.size != b.size:
+        return None
+    pa, pb = a.load(), b.load()
+    w, h = a.size
+    diff = 0
+    for y in range(h):
+        for x in range(w):
+            ca, cb = pa[x, y], pb[x, y]
+            diff += abs(ca[0] - cb[0]) + abs(ca[1] - cb[1]) + abs(ca[2] - cb[2])
+    return diff
diff --git a/capture.py b/analyze/capture.py
similarity index 100%
rename from capture.py
rename to analyze/capture.py
diff --git a/analyze/design.md b/analyze/design.md
new file mode 100644
index 0000000..0c0febf
--- /dev/null
+++ b/analyze/design.md
@@ -0,0 +1,213 @@
+# Design
+
+## Purpose
+
+This project watches a running instance of the game **Eternal Lands** (an X11
+window) and continuously analyzes screenshots of it. In its current form it
+detects three kinds of state and records them to a JSONL log:
+
+1. **Harvesting** — whether the player is currently harvesting (mining,
+   cutting, etc.), detected from the color of a single pixel near the bottom
+   of the screen.
+2. **HUD values** — the numeric readouts next to the five status bars at the
+   bottom of the screen (mana, food, health, inventory capacity, action
+   points), extracted with OCR.
+3. **Crafting windows** — the player can drag the Manufacturing and Inventory
+   windows anywhere on screen, so they are located relative to their own title
+   bars (not fixed coordinates). The colored status line inside the
+   Manufacturing window is OCR'd and mapped to a category (`working`,
+   `success`, `failed`, `failed_lost`, `hungry`, `overloaded`, `stopped`,
+   `none`).
+
+The near-term goal is observation only: the log is produced so a future
+**observer** component can read it and act — e.g., automatically resume
+harvesting when the player stops, or react when health/food get low. Keeping
+the log format stable and machine-parseable is therefore a first-class
+requirement.
+
+## Capabilities
+
+- **Window capture** (`capture.py`) — finds a window by title (substring,
+  case-insensitive) on X11 and grabs its pixels even when unfocused or
+  occluded, via `XGetImage` with a root-window fallback.
+- **Harvesting detection** (`analyze.is_harvesting`) — samples the pixel at
+  `(1710, 1068)`. Light tan (~`#f2c285`, luma ≈ 201) means harvesting; dark
+  brown (~`#664c33`, luma ≈ 81) means idle. Decision is `luma >= 140`.
+- **Bar value extraction** (`analyze.read_bar_values`) — crops the small
+  number that precedes each bar, binarizes it, upscales 3x, and runs tesseract
+  with a digits-only whitelist (`--psm 7`).
+- **Window verification** (`analyze.verify_window`) — checks a `150x42` crop
+  around a candidate point for the title substring `anufact` (Manufacturing)
+  or `nven` (Inventory). This is the per-frame cache check; it passes on all
+  53 reference frames.
+- **Window recovery** (`analyze.find_windows`) — full-frame OCR scan
+  (`--psm 11`, run at two scales) that collects candidate title words and
+  verifies each. Used only when a cached position stops verifying, i.e. after
+  the window moves.
+- **Craft message OCR** (`analyze.read_manufacturing_message`) — crops a
+  window-relative region, isolates green or red text pixels, tight-bboxes
+  them, and OCRs the isolated color channel.
+- **Message classification** (`analyze.classify_message`) — maps an OCR'd
+  message plus its color to a stable category string.
+- **Window cache** (`main.WindowTracker`) — keeps last-known window positions,
+  re-verifies them each frame, and triggers a full-frame rescan only when a
+  cache miss happens.
+- **JSONL logging** (`main.py`) — appends one JSON object per frame.
+- **Replay mode** (`main.py --replay DIR`) — processes existing PNGs instead
+  of a live window, so analysis and OCR can be verified offline.
+- **Test suite** (`tests/`) — folder-driven pytest tests; dropping a new
+  screenshot into a folder automatically covers it.
+
+## Architecture
+
+```
+capture.py        X11 window capture -> PIL Image (RGBA)
+analyze.py        Pure functions: summarize, is_harvesting, read_bar_values,
+                  verify_window, find_windows, read_manufacturing_message,
+                  classify_message, load_image, difference. No side effects.
+main.py           CLI entry point. Live capture loop or replay mode; owns the
+                  WindowTracker cache, builds the JSON record, appends to log.
+tests/            Folder-driven pytest tests + test images.
+```
+
+- `capture.py` is the only module that talks to X11.
+- `analyze.py` is pure image analysis — every function takes a PIL image (or
+  path) and returns data. This makes it directly testable.
+- `main.py` wires them together and owns I/O (capturing, logging, printing).
+
+## HUD calibration
+
+All screen coordinates are hardcoded for a **1920x1080 captured window** and
+live at the top of `analyze.py`. They were measured from real screenshots and
+must move only if the game window resolution/layout changes.
+
+| Constant | Value | Meaning |
+|---|---|---|
+| `HARVEST_PIXEL` | `(1710, 1068)` | pixel that flips color while harvesting |
+| `HARVEST_LUMA_THRESHOLD` | `140` | above = harvesting, below = idle |
+| `NUMBER_REGIONS["mana"]` | `(0, 1033, 62, 1048)` | crop before the blue bar |
+| `NUMBER_REGIONS["food"]` | `(195, 1033, 226, 1048)` | crop before the yellow bar |
+| `NUMBER_REGIONS["health"]` | `(355, 1033, 389, 1048)` | crop before the red bar |
+| `NUMBER_REGIONS["inventory"]` | `(520, 1033, 552, 1048)` | crop before the dark bar |
+| `NUMBER_REGIONS["action_points"]` | `(610, 1033, 714, 1048)` | crop before the purple bar |
+
+Regions are `(x0, y0, x1, y1)`. `y0` starts at 1033 because row 1032 is the
+panel's top border, which would confuse OCR.
+
+Observed values on the reference screenshots: mana `32`, food `39`, health
+`40`, action points `140`; inventory capacity varies (`110` → `108` → `106`)
+as items are collected.
+
+## Window calibration
+
+The Manufacturing and Inventory windows are semi-transparent panels the player
+can drag anywhere, so their positions are **relative to the window title bar**,
+never fixed screen coordinates. All offsets below are measured from real
+captures and live at the top of `analyze.py`.
+
+| Constant | Value | Meaning |
+|---|---|---|
+| `TITLE_VERIFY_CROP` | `(14, 12, 150, 42)` | `(left, top, width, height)` crop around a candidate title point |
+| `TITLE_VERIFY_THRESHOLD` | `115` | binarization threshold for the title crop |
+| `TITLE_SUBSTRING` | `anufact` / `nven` | OCR substring that proves the title bar |
+| `MESSAGE_SEARCH` | `(175, 105, 600, 70)` | craft message search region relative to the title |
+| `MESSAGE_COLOR_GREEN` | `(170, 120, 30)` | green-text pixel filter `(min g, min g-r, min g-b)` |
+| `MESSAGE_COLOR_RED` | `(170, 100, 60)` | red-text pixel filter `(min r, min r-g, min r-b)` |
+| `FIND_OCR_SCALES` | `(1.0, 0.75)` | full-frame scan scales; some frames only recover at one |
+
+- The craft message sits at `(title_x - 161, title_y + 121)` — measured at 5
+  different Manufacturing window positions, all the same offset. `MESSAGE_SEARCH`
+  is a wider region around it that absorbs title-detection jitter.
+- The title bar is ~11px tall. The verify crop is deliberately generous
+  (`±14/±12` px) because the verify point is the title-bar center, which OCR
+  occasionally reports a few pixels from the glyphs.
+- Full-frame recovery is approximate: OCR word boxes land within ~15px of the
+  true title. Positions are re-anchored by `verify_window`, so exactness only
+  matters for the message offset, and `MESSAGE_SEARCH` absorbs the jitter.
+- Reference window positions across the capture sessions: Manufacturing at
+  `(488, 480)`, `(376, 262)`, `(1330, 194)`, `(1005, 565)`, `(281, 676)`,
+  and `(1104, 327)`/`(1104, 337)`; Inventory always `(1629, 686)`.
+
+## Log format
+
+One JSON object per line, appended to `analysis.jsonl` (configurable via
+`--log`):
+
+```json
+{"time": "20:31:02", "frame": 4, "is_harvesting": true, "harvest_pixel": "#f2c285", "harvest_luma": 201, "bars": {"mana": 32, "food": 39, "health": 40, "inventory": 106, "action_points": 140}, "manufacturing_window": [1104, 327], "manufacturing_message": {"text": "you successfully created 1 potion of minor healing", "color": "green", "category": "success"}, "inventory_window": [1629, 686]}
+```
+
+- `frame` is an integer in live mode, the file name in replay mode.
+- `bars` values are integers, or `null` when OCR could not read them (e.g.
+  tesseract not installed). Consumers must tolerate `null`.
+- `manufacturing_window` / `inventory_window` are `[x, y]` title-bar
+  coordinates of the (currently verified) window, or `null` when unverified.
+- `manufacturing_message` is `{"text", "color", "category"}` or `null`.
+  `text`/`color` are `null` when no message is showing (category `none`);
+  `manufacturing_message` itself is `null` when the Manufacturing window
+  position is unverified. Colors: `green` (success/working), `red`
+  (failed/failed_lost/hungry/overloaded/stopped).
+- Message categories: `working`, `success`, `stopped`, `failed`,
+  `failed_lost`, `hungry`, `overloaded`, `none`, `unknown`.
+- This shape is the contract for the future observer — it should not change
+  without updating `tests/` and the observer accordingly.
+
+## Testing
+
+`tests/images/` holds the screenshots used as fixtures, grouped by expected
+behavior:
+
+```
+tests/images/harvesting/      is_harvesting must be True
+tests/images/not_harvesting/  is_harvesting must be False
+tests/images/corrupt/         must be skipped gracefully (None)
+tests/images/manufacturing/   craft message at the pinned title position must
+  <category>/*.png              classify to the folder's category
+tests/images/inventory/       verify_window must pass at the pinned position
+```
+
+Tests are **folder-driven**: new edge cases are added by dropping a screenshot
+into the appropriate folder; no test code changes needed unless a new expected
+*value* must be pinned. `tests/test_bars.py` pins per-frame expectations (e.g.
+inventory = 110/108/106 depending on frame). `tests/test_windows.py` pins the
+Manufacturing title position per fixture frame (`MFG_POSITION`), the Inventory
+position, and a representative subset of `find_windows` recovery cases.
+
+## Dependencies and setup
+
+System:
+
+- `tesseract-ocr` (OCR engine; the Python binding is `pytesseract`)
+- X11 (for live capture)
+
+Python (installed in the project virtualenv `.venv/`, see `requirements.txt`):
+
+- `python-xlib`, `pillow`, `pytesseract`, `pytest`
+
+```bash
+python3 -m venv .venv
+.venv/bin/pip install -r requirements.txt
+.venv/bin/python -m pytest tests/
+.venv/bin/python main.py                 # live capture
+.venv/bin/python main.py --replay tests/images/harvesting
+```
+
+## Known limitations
+
+- Coordinates are resolution-specific (1920x1080). Resizing the game window
+  requires recalibration of `HARVEST_PIXEL` / `NUMBER_REGIONS`.
+- OCR depends on the system `tesseract` binary; if missing, bar values log as
+  `null` (harvesting detection is unaffected). Window/message OCR degrades the
+  same way (`verify_window` returns False, messages read as `null`).
+- The panel appears to be semi-transparent; some scene pixels show through.
+  So far this has not affected detection, but a very different background
+  could.
+- Full-frame window recovery (`find_windows`) is not 100% reliable — it found
+  the Manufacturing window in all 53 reference frames but missed the Inventory
+  window in one harvesting frame. `WindowTracker` compensates by retrying on
+  every frame while a window stays stale, so a missed recovery only delays the
+  update by a frame or two. The cheap per-frame `verify_window` cache check is
+  the workhorse (53/53) and recovery only runs after a window moves.
+- The steady-state loop adds roughly 0.5s/frame for the two window verifies
+  plus message OCR; a full-frame recovery scan costs ~5-9s but only happens
+  after a window moves.
diff --git a/main.py b/analyze/main.py
similarity index 62%
rename from main.py
rename to analyze/main.py
index fc9dac7..d94feea 100644
--- a/main.py
+++ b/analyze/main.py
@@ -15,14 +15,59 @@ import analyze
 from capture import WindowCapture, WindowNotFound
 
 
-def analyze_and_print(image, frame, prev, logf):
+class WindowTracker:
+    """Cache last-known window positions and re-locate them when they move.
+
+    Cached positions are re-verified cheaply every frame. The first failed
+    verify after a stable period triggers an immediate full-frame rescan;
+    afterwards rescans back off to SCAN_PERIOD so a closed or unfindable
+    window cannot pin the loop to full-frame OCR forever.
+    """
+
+    SCAN_PERIOD = 30.0  # seconds between recovery rescans while a window is missing
+
+    def __init__(self):
+        self.pos = {"manufacturing": None, "inventory": None}
+        self._last_scan = {"manufacturing": 0.0, "inventory": 0.0}
+        self._verified = {"manufacturing": -1, "inventory": -1}
+        self._frame = 0
+
+    def update(self, image):
+        """Return currently verified window positions (None when unverified)."""
+        verified = {"manufacturing": None, "inventory": None}
+        for window in ("manufacturing", "inventory"):
+            cached = self.pos[window]
+            if cached is not None and analyze.verify_window(image, cached[0], cached[1], window):
+                verified[window] = cached
+                self._verified[window] = self._frame
+                continue
+            just_verified = cached is not None and self._verified[window] == self._frame - 1
+            if just_verified or (cached is None and self._frame == 0) or (
+                time.monotonic() - self._last_scan[window] >= self.SCAN_PERIOD
+            ):
+                self._last_scan[window] = time.monotonic()
+                pos = analyze.find_windows(image)[window]
+                if pos is not None:
+                    self.pos[window] = pos
+                    verified[window] = pos
+                    self._verified[window] = self._frame
+        self._frame += 1
+        return verified
+
+
+def analyze_and_print(image, frame, prev, logf, tracker):
     global _last_t
     info = analyze.summarize(image)
     harvest = analyze.is_harvesting(image)
     bars = analyze.read_bar_values(image)
+    windows = tracker.update(image)
     fps = 1.0 / max(1e-6, time.monotonic() - _last_t)
     _last_t = time.monotonic()
 
+    mfg = windows["manufacturing"]
+    message = analyze.read_manufacturing_message(image, mfg[0], mfg[1]) if mfg else None
+    inv = windows["inventory"]
+
     record = {
         "time": _now(),
         "frame": frame,
@@ -30,6 +75,9 @@ def analyze_and_print(image, frame, prev, logf):
         "harvest_pixel": harvest["color"],
         "harvest_luma": harvest["luma"],
         "bars": bars,
+        "manufacturing_window": [mfg[0], mfg[1]] if mfg else None,
+        "manufacturing_message": message,
+        "inventory_window": [inv[0], inv[1]] if inv else None,
     }
     if logf is not None:
         logf.write(json.dumps(record) + "\n")
@@ -41,11 +89,12 @@ def analyze_and_print(image, frame, prev, logf):
     top = ", ".join(f"{c['hex']} {c['fraction'] * 100:.0f}%" for c in info["dominant"][:3])
     status = "harvesting" if harvest["is_harvesting"] else "not harvesting"
     frame_str = f"{frame:05d}" if isinstance(frame, int) else frame
+    msg = f"mfg={mfg} msg={message['category'] if message else None}" if mfg else "mfg=none"
     print(
         f"[{frame_str}] {status} luma={harvest['luma']} "
         f"size={info['size'][0]}x{info['size'][1]} "
         f"mean={info['mean_rgb']} top=[{top}] bars={bars} "
-        f"delta={delta} loop_fps={fps:.1f}",
+        f"delta={delta} loop_fps={fps:.1f} {msg}",
         flush=True,
     )
     return small
@@ -55,6 +104,7 @@ def run_replay(args):
     """Process PNGs from a directory instead of a live window."""
     logf = open(args.log, "a") if args.log else None
     prev = None
+    tracker = WindowTracker()
     try:
         for name in sorted(os.listdir(args.replay)):
             if not name.lower().endswith(".png"):
@@ -64,7 +114,7 @@ def run_replay(args):
             if image is None:
                 print(f"[skipped] unreadable image: {path}", flush=True)
                 continue
-            prev = analyze_and_print(image, name, prev, logf)
+            prev = analyze_and_print(image, name, prev, logf, tracker)
     finally:
         if logf:
             logf.close()
@@ -78,6 +128,7 @@ def run_live(args):
     print(f"Capturing window matching {args.title!r} at {args.fps:.1f} fps (Ctrl-C to stop)", flush=True)
     logf = open(args.log, "a") if args.log else None
     prev = None
+    tracker = WindowTracker()
     frame = 0
     try:
         while True:
@@ -88,7 +139,7 @@ def run_live(args):
                 print(f"[{_now()}] {exc}; retrying...", flush=True)
                 time.sleep(1.0)
                 continue
-            prev = analyze_and_print(image, frame, prev, logf)
+            prev = analyze_and_print(image, frame, prev, logf, tracker)
 
             if args.save_every and frame % args.save_every == 0:
                 path = os.path.join(args.snapshots, f"frame_{frame:05d}.png")
diff --git a/requirements.txt b/analyze/requirements.txt
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diff --git a/tests/test_corrupt.py b/analyze/tests/test_corrupt.py
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diff --git a/tests/test_harvesting.py b/analyze/tests/test_harvesting.py
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rename to analyze/tests/test_harvesting.py
diff --git a/analyze/tests/test_windows.py b/analyze/tests/test_windows.py
new file mode 100644
index 0000000..6ce8ab9
--- /dev/null
+++ b/analyze/tests/test_windows.py
@@ -0,0 +1,139 @@
+import shutil
+from pathlib import Path
+
+import pytest
+
+import analyze
+
+MFG_IMAGES = sorted(Path("tests/images/manufacturing").glob("*/*.png"))
+INV_IMAGES = sorted(Path("tests/images/inventory").glob("*.png"))
+
+assert len(MFG_IMAGES) > 0, "no images found under tests/images/manufacturing"
+assert len(INV_IMAGES) > 0, "no images found under tests/images/inventory"
+
+OCR_AVAILABLE = analyze.pytesseract is not None and shutil.which("tesseract") is not None
+
+pytestmark = pytest.mark.skipif(
+    not OCR_AVAILABLE,
+    reason="pytesseract or tesseract-ocr not installed",
+)
+
+# Pinned Manufacturing title-bar positions per fixture frame, measured from the
+# real captures (the window was dragged to 5 different places across sessions).
+MFG_POSITION = {
+    "snapshots_f00000.png": (488, 480),
+    "snapshots_f00002.png": (488, 480),
+    "snapshots_f00003.png": (488, 480),
+    "snapshots_f00006.png": (376, 262),
+    "snapshots_f00007.png": (1330, 194),
+    "snapshots_f00010.png": (1005, 565),
+    "snapshots_f00013.png": (281, 676),
+    "snapshots_f00015.png": (281, 676),
+    "snapshots2_f00000.png": (1104, 327),
+    "snapshots2_f00001.png": (1104, 327),
+    "snapshots2_f00002.png": (1104, 327),
+    "snapshots2_f00003.png": (1104, 327),
+    "snapshots2_f00007.png": (1104, 327),
+    "snapshots2_f00013.png": (1104, 327),
+    "snapshots2_f00033.png": (1104, 337),
+    "harvest_frame_00000.png": (173, 771),
+}
+
+# The Inventory window never moved across the capture sessions; every fixture
+# frame pins the same title-bar position.
+INV_POSITION = (1629, 686)
+
+# find_windows recovery is a full-frame OCR scan (~7s/frame) so it is only
+# exercised on a representative subset. "inventory": None for the harvesting
+# frame is a known miss: the full-frame scan does not read its Inventory title.
+RECOVERY_CASES = {
+    "snapshots_f00000.png": ((488, 480), (1629, 686)),
+    "snapshots_f00013.png": ((281, 676), (1629, 686)),
+    "snapshots2_f00003.png": ((1104, 327), (1629, 686)),
+    "snapshots2_f00013.png": ((1104, 327), (1629, 686)),
+    "snapshots2_f00033.png": ((1104, 337), (1629, 686)),
+    "harvest_frame_00000.png": ((173, 771), None),
+}
+
+_TOLERANCE = 15
+
+
+def _load(path):
+    image = analyze.load_image(path)
+    assert image is not None, f"cannot load {path}"
+    return image
+
+
+def _find_fixture(name):
+    for root in list(Path("tests/images/manufacturing").glob("*")) + [Path("tests/images/inventory")]:
+        candidate = root / name
+        if candidate.exists():
+            return candidate
+    raise AssertionError(f"no fixture file named {name}")
+
+
+def _mfg_positions():
+    assert set(MFG_POSITION) == {p.name for p in MFG_IMAGES}, "MFG_POSITION does not match fixture files"
+    for path in MFG_IMAGES:
+        yield path, MFG_POSITION[path.name]
+
+
+def test_manufacturing_title_is_verified_at_pinned_position():
+    for path, pos in _mfg_positions():
+        image = _load(path)
+        assert analyze.verify_window(image, pos[0], pos[1], "manufacturing") is True, path
+
+
+def test_inventory_title_is_verified_at_pinned_position():
+    for path in INV_IMAGES:
+        image = _load(path)
+        assert analyze.verify_window(image, INV_POSITION[0], INV_POSITION[1], "inventory") is True, path
+
+
+def test_manufacturing_message_category_matches_folder():
+    for path in MFG_IMAGES:
+        image = _load(path)
+        x, y = MFG_POSITION[path.name]
+        message = analyze.read_manufacturing_message(image, x, y)
+        assert message is not None, path
+        assert message["category"] == path.parent.name, path
+
+
+def test_find_windows_recovers_pinned_positions():
+    for name, (exp_mfg, exp_inv) in RECOVERY_CASES.items():
+        image = _load(_find_fixture(name))
+        found = analyze.find_windows(image)
+        if exp_mfg is None:
+            assert found["manufacturing"] is None, name
+        else:
+            pos = found["manufacturing"]
+            assert pos is not None, f"manufacturing not recovered: {name}"
+            assert abs(pos[0] - exp_mfg[0]) <= _TOLERANCE, name
+            assert abs(pos[1] - exp_mfg[1]) <= _TOLERANCE, name
+        if exp_inv is None:
+            assert found["inventory"] is None, name
+        else:
+            pos = found["inventory"]
+            assert pos is not None, f"inventory not recovered: {name}"
+            assert abs(pos[0] - exp_inv[0]) <= _TOLERANCE, name
+            assert abs(pos[1] - exp_inv[1]) <= _TOLERANCE, name
+
+
+def test_classify_message_maps_real_strings():
+    # Ground-truth texts from the captured frames, one per category.
+    assert analyze.classify_message("you stopped working.", "red") == "stopped"
+    assert analyze.classify_message("you started working...", "green") == "working"
+    assert analyze.classify_message("you successfully created 1 thread", "green") == "success"
+    assert analyze.classify_message("you failed to create a[n] thread", "red") == "failed"
+    assert (
+        analyze.classify_message(
+            "you failed to create a[n] potion of minor healing, and lost the ingredients", "red"
+        )
+        == "failed_lost"
+    )
+    assert analyze.classify_message(
+        "you are hungry, you can't manufacture anything. eat until your food level is over 0", "red"
+    ) == "hungry"
+    assert analyze.classify_message("you are overloaded, you can't carry 1 thread!", "red") == "overloaded"
+    assert analyze.classify_message("", "green") == "none"
+    assert analyze.classify_message("garbled text", "red") == "unknown"