diff --git a/edu/.beans/edu-0w1v--markov-exercise-simulating-a-random-walk-rust.md b/edu/.beans/archive/edu-0w1v--markov-exercise-simulating-a-random-walk-rust.md
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diff --git a/edu/.beans/edu-16fy--6-recognizing-atoms-integers-booleans-strings-symb.md b/edu/.beans/archive/edu-16fy--6-recognizing-atoms-integers-booleans-strings-symb.md
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diff --git a/edu/.beans/edu-18qe--markov-lesson-what-is-a-markov-chain.md b/edu/.beans/archive/edu-18qe--markov-lesson-what-is-a-markov-chain.md
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diff --git a/edu/.beans/edu-1oh8--12-exercise-5-retrieval-augmented-generation.md b/edu/.beans/archive/edu-1oh8--12-exercise-5-retrieval-augmented-generation.md
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diff --git a/edu/.beans/edu-9kuk--markov-lesson-text-generation-with-markov-chains.md b/edu/.beans/archive/edu-9kuk--markov-lesson-text-generation-with-markov-chains.md
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diff --git a/edu/.beans/edu-a1al--markov-lesson-transition-probabilities-and-matrice.md b/edu/.beans/archive/edu-a1al--markov-lesson-transition-probabilities-and-matrice.md
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diff --git a/edu/.beans/edu-b73b--course-writing-a-lisp-to-c-compiler-in-rust.md b/edu/.beans/archive/edu-b73b--course-writing-a-lisp-to-c-compiler-in-rust.md
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diff --git a/edu/.beans/edu-dgfl--11-exercise-4-recommendation-engine.md b/edu/.beans/archive/edu-dgfl--11-exercise-4-recommendation-engine.md
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diff --git a/edu/.beans/edu-g1r5--5-setting-up-the-project.md b/edu/.beans/archive/edu-g1r5--5-setting-up-the-project.md
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diff --git a/edu/.beans/edu-ga52--10-exercise-3-semantic-document-search.md b/edu/.beans/archive/edu-ga52--10-exercise-3-semantic-document-search.md
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diff --git a/edu/.beans/edu-jzvr--4-introduction-to-nom-parser-combinators.md b/edu/.beans/archive/edu-jzvr--4-introduction-to-nom-parser-combinators.md
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diff --git a/edu/.beans/edu-n7zb--7-the-abstract-syntax-tree.md b/edu/.beans/archive/edu-n7zb--7-the-abstract-syntax-tree.md
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diff --git a/edu/.beans/edu-n9ap--3-compiler-architecture-the-pipeline.md b/edu/.beans/archive/edu-n9ap--3-compiler-architecture-the-pipeline.md
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diff --git a/edu/.beans/edu-nc61--16-the-compilation-pipeline.md b/edu/.beans/archive/edu-nc61--16-the-compilation-pipeline.md
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diff --git a/edu/.beans/edu-paqf--8-exercise-2-k-nearest-neighbor-search.md b/edu/.beans/archive/edu-paqf--8-exercise-2-k-nearest-neighbor-search.md
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diff --git a/edu/.beans/edu-pdeo--7-exercise-1-storing-and-retrieving-vectors.md b/edu/.beans/archive/edu-pdeo--7-exercise-1-storing-and-retrieving-vectors.md
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diff --git a/edu/.beans/edu-pyue--14-generating-c-definitions-and-functions.md b/edu/.beans/archive/edu-pyue--14-generating-c-definitions-and-functions.md
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diff --git a/edu/.beans/edu-tx54--deploy-edu-mdbook-to-cloudflare-pages-at-vibebooks.md b/edu/.beans/archive/edu-tx54--deploy-edu-mdbook-to-cloudflare-pages-at-vibebooks.md
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diff --git a/edu/.beans/edu-tzzh--9-parsing-s-expressions-and-special-forms.md b/edu/.beans/archive/edu-tzzh--9-parsing-s-expressions-and-special-forms.md
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diff --git a/edu/.beans/edu-unus--15-generating-c-control-flow-and-sequencing.md b/edu/.beans/archive/edu-unus--15-generating-c-control-flow-and-sequencing.md
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diff --git a/edu/.beans/edu-urpp--markov-lesson-stationary-distributions.md b/edu/.beans/archive/edu-urpp--markov-lesson-stationary-distributions.md
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diff --git a/edu/.beans/edu-uz3e--5-under-the-hood-ann-algorithms.md b/edu/.beans/archive/edu-uz3e--5-under-the-hood-ann-algorithms.md
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diff --git a/edu/.beans/edu-v0ud--17-testing-the-compiler.md b/edu/.beans/archive/edu-v0ud--17-testing-the-compiler.md
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diff --git a/edu/.beans/edu-y4e6--18-whats-next-extensions-and-further-reading.md b/edu/.beans/archive/edu-y4e6--18-whats-next-extensions-and-further-reading.md
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diff --git a/edu/.beans/edu-ylb8--1-introduction-what-were-building.md b/edu/.beans/archive/edu-ylb8--1-introduction-what-were-building.md
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diff --git a/edu/.beans/edu-zjy1--markov-lesson-states-and-transitions.md b/edu/.beans/archive/edu-zjy1--markov-lesson-states-and-transitions.md
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diff --git a/edu/.beans/edu-3yw9--write-2-monte-carlo-tree-search-algorithm-explaine.md b/edu/.beans/edu-3yw9--write-2-monte-carlo-tree-search-algorithm-explaine.md
new file mode 100644
index 0000000..66a8261
--- /dev/null
+++ b/edu/.beans/edu-3yw9--write-2-monte-carlo-tree-search-algorithm-explaine.md
@@ -0,0 +1,11 @@
+---
+# edu-3yw9
+title: 'Write §2: Monte Carlo Tree Search — algorithm explained'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Step-by-step walkthrough of MCTS: selection (UCB1), expansion, simulation/rollout, backpropagation. Include a worked example on a small game tree.
diff --git a/edu/.beans/edu-453h--write-13-the-full-alphago-zero-training-loop.md b/edu/.beans/edu-453h--write-13-the-full-alphago-zero-training-loop.md
new file mode 100644
index 0000000..3323726
--- /dev/null
+++ b/edu/.beans/edu-453h--write-13-the-full-alphago-zero-training-loop.md
@@ -0,0 +1,11 @@
+---
+# edu-453h
+title: 'Write §13: The full AlphaGo Zero training loop'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Reading lesson: generate → train → evaluate → promote. Discuss the ELO-based model selection step and why it matters.
diff --git a/edu/.beans/edu-4v13--write-8-exercise-2-play-tic-tac-toe-with-pure-mcts.md b/edu/.beans/edu-4v13--write-8-exercise-2-play-tic-tac-toe-with-pure-mcts.md
new file mode 100644
index 0000000..a3b9381
--- /dev/null
+++ b/edu/.beans/edu-4v13--write-8-exercise-2-play-tic-tac-toe-with-pure-mcts.md
@@ -0,0 +1,11 @@
+---
+# edu-4v13
+title: 'Write §8: Exercise 2 — play Tic-Tac-Toe with pure MCTS'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Exercise: wire MCTS to the game logic from Exercise 1 and run a match. Show sample output, discuss iteration count vs strength.
diff --git a/edu/.beans/edu-5go8--write-3-why-self-play-the-alphago-zero-insight.md b/edu/.beans/edu-5go8--write-3-why-self-play-the-alphago-zero-insight.md
new file mode 100644
index 0000000..5cd840f
--- /dev/null
+++ b/edu/.beans/edu-5go8--write-3-why-self-play-the-alphago-zero-insight.md
@@ -0,0 +1,11 @@
+---
+# edu-5go8
+title: 'Write §3: Why self-play? The AlphaGo Zero insight'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Explain the key insight: a capable engine can be its own teacher. Historical context (AlphaGo vs AlphaGo Zero) and why the approach generalises.
diff --git a/edu/.beans/edu-7lu6--write-12-exercise-4-replace-rollout-with-the-value.md b/edu/.beans/edu-7lu6--write-12-exercise-4-replace-rollout-with-the-value.md
new file mode 100644
index 0000000..0e3f4ad
--- /dev/null
+++ b/edu/.beans/edu-7lu6--write-12-exercise-4-replace-rollout-with-the-value.md
@@ -0,0 +1,11 @@
+---
+# edu-7lu6
+title: 'Write §12: Exercise 4 — replace rollout with the value network'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Exercise: substitute random rollout in MCTS with a neural-network value estimate; compare strength before and after.
diff --git a/edu/.beans/edu-brtk--write-14-exercise-5-1000-self-play-games-observe-i.md b/edu/.beans/edu-brtk--write-14-exercise-5-1000-self-play-games-observe-i.md
new file mode 100644
index 0000000..bb3abb5
--- /dev/null
+++ b/edu/.beans/edu-brtk--write-14-exercise-5-1000-self-play-games-observe-i.md
@@ -0,0 +1,11 @@
+---
+# edu-brtk
+title: 'Write §14: Exercise 5 — 1000 self-play games; observe improvement'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Capstone exercise: run the full self-play loop for 1000 games; plot win-rate over iterations; discuss what worked and what didn't.
diff --git a/edu/.beans/edu-coqp--edu-write-machine-learning-chapter-self-play-game.md b/edu/.beans/edu-coqp--edu-write-machine-learning-chapter-self-play-game.md
index 3428708..ad8ae64 100644
--- a/edu/.beans/edu-coqp--edu-write-machine-learning-chapter-self-play-game.md
+++ b/edu/.beans/edu-coqp--edu-write-machine-learning-chapter-self-play-game.md
@@ -1,11 +1,11 @@
 ---
 # edu-coqp
 title: 'edu: write Machine Learning chapter (self-play game AI, Alpha Go Zero style)'
-status: todo
-type: task
+status: in-progress
+type: feature
 priority: low
 created_at: 2026-03-10T23:30:01Z
-updated_at: 2026-03-10T23:30:01Z
+updated_at: 2026-03-13T20:03:44Z
 ---
 
 ## Background
diff --git a/edu/.beans/edu-e39n--write-5-representing-game-state-in-rust.md b/edu/.beans/edu-e39n--write-5-representing-game-state-in-rust.md
new file mode 100644
index 0000000..23d48ba
--- /dev/null
+++ b/edu/.beans/edu-e39n--write-5-representing-game-state-in-rust.md
@@ -0,0 +1,11 @@
+---
+# edu-e39n
+title: 'Write §5: Representing game state in Rust'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Reading lesson: design of Board, Player, Move types. Discuss representation trade-offs (bitboard vs array). Show the full type definitions.
diff --git a/edu/.beans/edu-iv0k--write-9-neural-network-architecture-overview.md b/edu/.beans/edu-iv0k--write-9-neural-network-architecture-overview.md
new file mode 100644
index 0000000..945ebe3
--- /dev/null
+++ b/edu/.beans/edu-iv0k--write-9-neural-network-architecture-overview.md
@@ -0,0 +1,11 @@
+---
+# edu-iv0k
+title: 'Write §9: Neural network architecture overview'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Conceptual lesson: shared convolutional trunk, policy head (move probabilities), value head (win probability). Diagrams encouraged. No code yet.
diff --git a/edu/.beans/edu-k3tq--write-4-choosing-a-simple-game-tic-tac-toe.md b/edu/.beans/edu-k3tq--write-4-choosing-a-simple-game-tic-tac-toe.md
new file mode 100644
index 0000000..f03297b
--- /dev/null
+++ b/edu/.beans/edu-k3tq--write-4-choosing-a-simple-game-tic-tac-toe.md
@@ -0,0 +1,11 @@
+---
+# edu-k3tq
+title: 'Write §4: Choosing a simple game — Tic-Tac-Toe'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Explain why Tic-Tac-Toe is ideal: small state space, deterministic, zero-sum, easily verifiable. Foreshadow how the same approach scales to Go/Chess.
diff --git a/edu/.beans/edu-lqky--write-11-exercise-3-train-the-network-on-mcts-data.md b/edu/.beans/edu-lqky--write-11-exercise-3-train-the-network-on-mcts-data.md
new file mode 100644
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+++ b/edu/.beans/edu-lqky--write-11-exercise-3-train-the-network-on-mcts-data.md
@@ -0,0 +1,11 @@
+---
+# edu-lqky
+title: 'Write §11: Exercise 3 — train the network on MCTS data'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Exercise: generate training examples (state, policy vector, value) from pure MCTS self-play; run one training epoch; log loss.
diff --git a/edu/.beans/edu-of9y--write-7-implementing-mcts-in-rust.md b/edu/.beans/edu-of9y--write-7-implementing-mcts-in-rust.md
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+++ b/edu/.beans/edu-of9y--write-7-implementing-mcts-in-rust.md
@@ -0,0 +1,11 @@
+---
+# edu-of9y
+title: 'Write §7: Implementing MCTS in Rust'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Walk through selection (UCB1 formula), expansion, simulation (random rollout), backpropagation. Show Rust code for the node structure and the four phases.
diff --git a/edu/.beans/edu-pvou--write-10-integrating-a-neural-network-crate.md b/edu/.beans/edu-pvou--write-10-integrating-a-neural-network-crate.md
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+++ b/edu/.beans/edu-pvou--write-10-integrating-a-neural-network-crate.md
@@ -0,0 +1,11 @@
+---
+# edu-pvou
+title: 'Write §10: Integrating a neural network crate'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Reading lesson: evaluate tch-rs vs candle for this use case; show how to define and initialise the network; basic forward-pass usage.
diff --git a/edu/.beans/edu-wobk--write-1-what-is-reinforcement-learning.md b/edu/.beans/edu-wobk--write-1-what-is-reinforcement-learning.md
new file mode 100644
index 0000000..762c652
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+++ b/edu/.beans/edu-wobk--write-1-what-is-reinforcement-learning.md
@@ -0,0 +1,11 @@
+---
+# edu-wobk
+title: 'Write §1: What is reinforcement learning?'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Cover: state, action, reward, policy, value function. Intuitive explanation with a game-playing example. No code.
diff --git a/edu/.beans/edu-ymux--write-6-exercise-1-implement-tic-tac-toe-game-logi.md b/edu/.beans/edu-ymux--write-6-exercise-1-implement-tic-tac-toe-game-logi.md
new file mode 100644
index 0000000..9a7c32c
--- /dev/null
+++ b/edu/.beans/edu-ymux--write-6-exercise-1-implement-tic-tac-toe-game-logi.md
@@ -0,0 +1,11 @@
+---
+# edu-ymux
+title: 'Write §6: Exercise 1 — implement Tic-Tac-Toe game logic'
+status: todo
+type: task
+created_at: 2026-03-13T20:03:17Z
+updated_at: 2026-03-13T20:03:17Z
+parent: edu-coqp
+---
+
+Hands-on exercise: move generation, win detection, terminal-state check, displaying the board. Include starter code and expected test output.