Thinking in Public — Live Decision Log

00 — Naked LLM to Knowledge Gate

What the LLM Said. What the Gate Asked. What Changed.

The pipeline has two distinct roles: the Analyzer (generates candidates, recommends decisions) and the Librarian (runs the 5-question gate, makes the final call). These are three real cases showing both sides — the Analyzer's raw recommendation and exactly where the gate agreed, overruled, or surfaced something the Analyzer missed.

source: captures/candidates/*.md (Analyzer output) + captures/librarian-decisions.jsonl (Librarian decisions)

Case 1: The Analyzer Said Admit. The Gate Said No. REJECTED cmd-20260330-0906-073

Intentthe question being answered

Does any other product in the market do execution-validated, trust-tiered operational knowledge capture? Searched across RAG chatbots, runbook automation tools, LLM observability tools, knowledge graphs, and AI governance frameworks.

FindingAnalyzer output

No competitor does this. Confirmed absence across five sectors. RAG tools trust documents. Runbook tools generate, not capture. Governance frameworks are about AI behavior risk, not operational knowledge trust tiers. AWACS Class A/B/C architecture is uncontested.

Positioning draft produced: "Every knowledge management tool trusts the document. AWACS trusts the execution."

Analyzer's recommendationbefore the gate

Trust state: a-confirmed (recommended Class A)
Decision: "admit — Core positioning asset, high value for content and sales"
Reasoning: "Five separate competitive searches across three sectors found no equivalent. Confirmed empty space."

Gate questionsLibrarian applies 5 checks

Q1

Was this command actually executed and did it return real output?

✗ NO — web research, no commands run

Q2

Is the result deterministic and repeatable?

✓ YES

Q3

General enough to apply beyond this session?

✓ YES

Q4

Does it add something not already in Class A?

✓ YES

Q5

No safer existing entry covers this?

✓ YES

Librarian decisionfinal, logged to JSONL

✗ REJECT — Q1 failed

HIGH VALUE content but CANNOT be Class A. This is competitive analysis from web research — no commands executed in our environment. Class A rules: executed commands only. Routing to Class C as competitive-intelligence entry. Does not need to be Class A to be useful — Class C is exactly the right tier for a market landscape analysis.

What changed: The Analyzer recommended Class A. The Librarian rejected it and routed it to Class C. Same content, different trust tier. The content is still in the KB — just without the execution-backed guarantee that Class A carries. The gate held even though the content was high-value and the recommendation was confident.

Case 2: Both Said Admit. The Gate Made It Critical. ADMITTED — CRITICAL FLAG cmd-20260329-1730-015

Intentthe question being answered

Read the official Claude Code memory spec documentation. Understand how CLAUDE.md is loaded, what the limits are, and confirm our pipeline's governance assumptions are correct.

FindingAnalyzer output

Official docs state: "CLAUDE.md content is delivered as a user message after the system prompt, not as part of the system prompt itself. Claude reads it and tries to follow it, but there's no guarantee of strict compliance."

Also discovered: @import syntax, path-specific rules, claudeMdExcludes, --append-system-prompt, HTML comments that don't consume tokens, managed policy CLAUDE.md at system level.

Analyzer's recommendationbefore the gate

Trust state: b-official
Decision: "admit to Class B"
Reasoning: "Official docs, not executed. Governance implication can be documented as Class B. Class A validation would require: testing whether Claude actually violates a CLAUDE.md rule when no hook is present."

Generated 5 Class A test candidates for follow-up validation.

Gate questionsLibrarian applies 5 checks

Q1

Was this command actually executed?

✓ YES — official source read

Q2

Deterministic and repeatable?

✓ YES

Q3

General enough to apply beyond this session?

✓ YES — affects every CLAUDE.md

Q4

Adds something not already in Class A?

✓ YES — prior entry only had JSON stdout gap

Q5

No duplicate?

✓ YES

Librarian decisionfinal, logged to JSONL

✓ ADMIT — all 5 pass

CRITICAL finding: CLAUDE.md delivered as user message, not system prompt — no guarantee of strict compliance. Our HARD RULES are behavioral guidance only. check-class-a-gate.py PreToolUse hook is the real enforcement layer. Also discovered: @import syntax, path-specific rules, claudeMdExcludes, --append-system-prompt, managed policy CLAUDE.md. Trust tier B — official docs. 5 Class A candidates for environment validation.

What changed: The Analyzer said "admit" and flagged the governance implication as notable. The Librarian promoted it to CRITICAL — meaning it actively changed the architecture design. The hook enforcement layer (check-class-a-gate.py) exists specifically because of this finding. The gate didn't just file the entry; it elevated the consequence.

Case 3: Both Said Admit. The Gate Produced the Audit. ADMITTED cmd-20260329-1750-017

Intentthe question being answered

Map every CLAUDE.md HARD RULE against the actual registered hooks in settings.json. How many of our stated rules have real code enforcement vs. behavioral guidance only?

FindingAnalyzer output — executed locally

2/7 HARD RULES enforced by code. 5/7 are behavioral guidance only (Claude can ignore them).

Enforced: (1) no class-a/ write without candidate file, (2) no class-a/ write without admit decision — both via check-class-a-gate.py exit(2).

Not enforced: candidate-log-order enforcement, Haiku ban on Class A writes, domain index requirement, cycle checkpoint requirement.

Analyzer's recommendationbefore the gate

Trust state: a-provisional
Decision: "admit to Class A"
Reasoning: "Executed locally, maps actual code against stated rules. Specific gaps identified with actionable fixes."

Gate questionsLibrarian applies 5 checks

Q1

Was this command actually executed?

✓ YES — read settings.json + hook code

Q2

Deterministic?

✓ YES

Q3

General enough?

✓ YES — governance coverage map

Q4

Adds something new?

✓ YES — gap list didn't exist

Q5

No duplicate?

✓ YES

Librarian decisionfinal, logged to JSONL

✓ ADMIT — all 5 pass

Executed locally. Maps 7 CLAUDE.md HARD RULES against actual registered hooks. 2/7 enforced by check-class-a-gate.py (the two most critical: class-a write gate). 5/7 relying on CLAUDE.md behavioral guidance only. Gaps identified: no hook for candidate-log-order enforcement, no model check for Haiku ban, no domain index enforcement. Actionable gap list.

What changed: The Analyzer and Librarian agreed. What the gate added was finality — this entry is now the canonical coverage map. Any future session asking "which rules are actually enforced" gets this entry as the answer. Not a note in a chat. A dated, entry-ID'd Class A record with the exact matrix. That's the difference between knowledge and information.

01 — Gate Decisions

The Librarian's Reasoning, Verbatim

Every candidate must pass five questions before entering Class A. These are the actual decision records — the full reason field from captures/librarian-decisions.jsonl, not a summary.

source: captures/librarian-decisions.jsonl · format: JSON append log · 79 entries total

cmd-20260329-1730-015 admit critical finding

Q1 ✓Q2 ✓Q3 ✓Q4 ✓Q5 ✓

Official Claude Code memory spec. CRITICAL finding: CLAUDE.md delivered as user message, not system prompt — no guarantee of strict compliance. Our HARD RULES are behavioral guidance only. check-class-a-gate.py PreToolUse hook is the real enforcement layer. Also discovered: @import syntax, path-specific rules, claudeMdExcludes, --append-system-prompt, managed policy CLAUDE.md. Trust tier B — official docs. 5 Class A candidates for environment validation.

What changed: Every CLAUDE.md rule that didn't have a corresponding PreToolUse hook was reclassified as "behavioral guidance only" — meaning the AI can ignore it. The write chain enforcement architecture was redesigned around this finding: check-class-a-gate.py exists because CLAUDE.md alone couldn't be trusted to block unauthorized Class A writes.

cmd-20260329-1750-017 admit

Q1 ✓Q2 ✓Q3 ✓Q4 ✓Q5 ✓

Executed locally. Maps 7 CLAUDE.md HARD RULES against actual registered hooks. 2/7 enforced by check-class-a-gate.py (the two most critical: class-a write gate). 5/7 relying on CLAUDE.md behavioral guidance only. Gaps identified: no hook for candidate-log-order enforcement, no model check for Haiku ban, no domain index enforcement. Actionable gap list.

Why this matters: The system audited its own enforcement coverage and found 5 of 7 HARD RULES were unenforced at the code level. This entry produced a concrete gap list that became a work backlog. Not a theoretical concern — an actual measurement against actual registered hooks.

cmd-20260329-1740-016 admit systemic finding

Q1 ✓Q2 ✓Q3 ✓Q4 ✓Q5 ✓

Executed measurement in our environment. 8/8 skills (100%) exceed the 250-char description cap. CLAUDE.md files both under 200 lines (OK). Validated spec claim from cmd-014 against actual values. Systemic anti-pattern — all skills affected. Fix pattern documented: front-load trigger keywords in first 100 chars.

How it was found: A prior entry (cmd-014) documented the Claude Code spec's 250-char description limit. This entry measured it against all 8 actual skill files in the repo. 100% exceeded the cap. The finding existed in theory from cmd-014 — this entry proved it applied universally to everything already built.

cmd-20260329-1815-019 admit — corrects prior entry

Q1 ✓Q2 ✓Q3 ✓Q4 ✓Q5 ✓

Locally executed read of V1 .mcp.json. Confirmed: filesystem and git stdio MCP servers use 'npx' directly without 'cmd /c' wrapper — broken on Windows (validated against cmd-018 finding). Rubrik MCP is intentionally scaffolded per CLAUDE.md ADR 20260319-mcp-vs-direct-api.md, not a bug. Corrects mis-categorization of CRITICAL-2 parked issue.

The correction: A parked issue had flagged the Rubrik MCP as broken. This entry shows the system reading the actual config file, cross-referencing a prior entry about Windows stdio wrappers, and concluding that "broken" was wrong — it was intentionally scaffolded, documented in an ADR. Prior classification was wrong; this entry corrects the record.

cmd-20260330-0906-073 reject

Q1 ✗Q2 ✓Q3 ✓Q4 ✓Q5 ✓

Execution-validated trust-tiered knowledge capture uniqueness finding. HIGH VALUE content but CANNOT be Class A. This is competitive analysis from web research — no commands executed in our environment. Class A rules: executed commands only. Routing to Class C as competitive-intelligence entry. Will serve as positioning ammunition. Does not need to be Class A to be useful — Class C competitive intelligence is exactly the right tier for a market landscape analysis.

Why rejection is the right outcome: The content was high-quality market research. In another system it would have been admitted as "useful." Here, the gate held: Q1 requires actual execution in this environment. Web research doesn't qualify. The content was routed to Class C — where it still serves its purpose, just without the trust guarantee that Class A carries. The tier distinction is enforced, not approximate.

02 — Critical Findings

What the System Caught That Wasn't Expected

These findings emerged during sessions where the system was doing something else. They weren't searched for — they surfaced during ordinary work.

source: captures/librarian-decisions.jsonl · entries cmd-20260329-1800-018, cmd-20260329-1820-020

cmd-20260329-1800-018 · MCP Windows stdio gotcha critical

Official Claude Code MCP spec. Critical Windows stdio cmd/c wrapper gotcha directly explains potential V1 Rubrik MCP failure. Complete reference: 3 transport types (SSE deprecated), 3 scopes, tool naming mcp__server__tool, env vars MCP_TIMEOUT/MAX_MCP_OUTPUT_TOKENS/ENABLE_TOOL_SEARCH, headersHelper dynamic auth, managed MCP, elicitation hook integration.

Context: The session was reading MCP spec documentation. Mid-read, the system recognized that the Windows stdio requirement (cmd /c wrapper) matched a previously parked issue about the Rubrik MCP not working on Windows. The connection between a spec footnote and an open bug was made without being prompted to look for it. The bug wasn't a mystery anymore — it had a name and a fix.

cmd-20260329-1820-020 · Hook events added in v2.1.x spec drift detected

Official GitHub releases page. 4 new hook events not in our reference (StopFailure, CwdChanged, FileChanged, TaskCreated). Conditional if field for hooks. 4 new agent frontmatter fields (effort, initialPrompt, maxTurns, disallowedTools). TaskOutput deprecated. PreToolUse allow-bypassing-deny bug fixed v2.1.77. PowerShell tool available on Windows. Directly extends and corrects our hooks-complete-reference.md.

What this reveals: The prior entry (cmd-017) was our complete reference for hooks. After checking the GitHub releases page, 4 new events and 4 new frontmatter fields were found that postdated the reference. TaskOutput was deprecated — meaning code using it was silently wrong. The KB is only as current as the last time someone checked. This entry prompted a revalidation pass on the prior reference.

03 — Session Pivots

Starting Assumption → What Actually Happened

Decision sequences recorded verbatim from session methodology captures. Format: what we assumed going in, what disrupted it, where we landed, and the principle it produced.

source: daily-captures/AWACS_daily-capture_2026-04-05_methodology-s7.md

Positioning: what to make public vs. what to protect 2026-04-05

Starting assumption

The aiOS README should explain how it works — architecture, write chain, trust tiers, enforcement hooks.

What happened

User raised concern about giving away the mechanism. "How do we write this without revealing the secrets?" The question forced a distinction between what the tool is (public) and how it works (operator layer).

Pivot point

Reframing from "explain the system" to "explain the outcomes." The phrase engineered knowledge stack was the unlock — it describes the result without describing the mechanism.

Final decision

Public layer = 8 outcome angles (wide integration, knowledge seeding, compounds with use, institutional capture, live docs, self-documenting, efficiency multiplier, guardrails). Operator layer = everything in CLAUDE.md, the write chain, trust tiers.

Principle

For any proprietary methodology: separate the claim (what buyers care about) from the mechanism (what competitors could copy). Write only the claim publicly.

Building a resume index — solving the wrong problem first 2026-04-05

Starting assumption

60+ files in resume/ needed some kind of index, but the shape of that index wasn't defined. Work would start from scratch.

What happened

User said "take hints from the librarian." The KB librarian already had master-toc.md with tabular rows, a status lifecycle, and a statistics footer — a proven pattern for exactly this problem.

Pivot point

Instead of designing a new system, borrowed the existing one wholesale and scoped it to the resume/ directory. Design cost: zero. Adaptation cost: minimal.

Final decision

CLAUDE.md (scope + navigation instructions) + CONTENT-TOC.md (tabular index, same columns as KB master-toc) + 26 .prov.md companion files. Built in one session.

Principle

Before designing a new organizational system, check whether an existing system in the same repo already solves the problem. The cost of pattern reuse is near zero; the cost of re-derivation is the full design cycle.

Captures search → reframed as missing taxonomy problem 2026-04-05

Starting assumption

User wanted session captures searchable by topic. Example: "show me how I use CI/CD pipelines." Scope was clear: build a search feature.

What happened

Four clarifying questions. What do you want back — links, excerpts, synthesis? What triggers the search — topic keyword or usage context? Which repos? The answers revealed the actual problem: there was no taxonomy to search over. The 55 captures were a flat pile of markdown files with no project-level labels.

Pivot point

User said: "We should be looking at all my projects and the Atomic Blocks that make them — that should be where we start at the high level. This many files is impossible to infer the blocks from." Search was deferred. Taxonomy came first.

Final decision

Design the Atomic Block Discovery Tool — a multi-pass, multi-model process that analyzes each project repo and outputs a structured inventory. Search layer gets built after the taxonomy exists.

Principle

"Search" almost always means "I can't find what I need," which usually means "the taxonomy doesn't exist yet." Don't build retrieval before building structure.

04 — Human Judgment

Where Human Input Changed What Got Built

Three moments from the same session where the human decision overrode what process alone would have produced. Verbatim from AWACS_daily-capture_2026-04-05_methodology-s7.md, Human Judgment Moments section.

Positioning label

Moment: User rejected "AI operating system" as the positioning label before it was even fully proposed.

"Engineered knowledge stack" — more concrete, more defensible, doesn't oversell.

Why process alone wouldn't have gotten here: a positioning framework generates label options; only someone who knows the market can reject "AI OS" as too buzzword-heavy for an engineering audience.

→ Outcome: label landed in both the README and the product page headline. No revision needed after the first draft.

Nav rename scope

Moment: User said "Create Case Study section on awacs.ai and move these over" — not "add some pages."

This implied renaming "Work" → "Case Studies" across the entire site, not just creating a new section. The user's word choice telegraphed strategic intent.

Why process alone wouldn't have gotten here: a literal reading would have created a new section. Reading the intent required understanding that "Work" is portfolio language and "Case Studies" is buyer language.

→ Outcome: 15 pages updated, homepage nav renamed, hero button updated. User confirmed without requesting changes.

README vs. product page

Moment: User wanted the aiOS README "on the website." This could have been interpreted as a documentation page.

Built a full product page instead — hero, capabilities grid, thought sessions, compounding metrics, CTA.

Why process alone wouldn't have gotten here: the user said "README" but the context was a portfolio site. A README-style page is informational; a product page converts. Reading the context, not just the instruction.

→ Outcome: User approved and immediately said "wire it in as a headline."

05 — Autonomous Pipeline

The Backlog Runner: Decision-by-Decision

On 2026-04-05, an autonomous agent processed 11 backlog items without human intervention. Each checkpoint is a real file in captures/. Shown here: the per-item decision record — what was built, what was tested, what came next.

source: captures/backlog-runner-checkpoint-2026-04-05-*.md

backlog-runner · 2026-04-05 · 11 items · branch: feature/handoff-ready

17:05 · ITEM 1

Task: Build block-env-writes PreToolUse hook (parked as B-015)

✓ PASS

CREATED: .claude/hooks/block-env-writes.py
MODIFIED: .claude/settings.json — added to Write + Edit PreToolUse
TEST: .env write → EXIT 2 (blocked) · readme.md write → EXIT 0 (allowed)

17:10 · ITEM 2

Task: Validate Node.js test suite (parked as "node not in PATH")

✓ PASS — 256 assertions, 0 failures

RESOLVED: parking-lot/park-20260329-001-node-missing.md

17:15 · ITEM 3

Task: Document CWD deadlock escape pattern as gotcha G-008 (B-017)

✓ PASS

CREATED: knowledge-base/gotchas/claude-code-hooks/cwd-deadlock-escape.md

17:22 · ITEM 5

Task: Validate exit code behavior — exit(1) non-blocking, exit(2) blocking (B-023)

✓ PASS — both behaviors confirmed in live Claude Code session

UPDATED: demo-hook-enforcement README result log with confirmed test outcomes

17:40 · ITEM 9

Task: Create Block Registry JSON Schema + human-readable companion (B-002)

✓ PASS

CREATED: docs/block-registry-schema.json (JSON Schema draft-07)
CREATED: docs/block-registry-schema.md (human-readable with 5 example queries)

17:50 · ITEM 11

Task: Define inter-pass data schemas for 4 discovery passes (B-004)

✓ PASS

CREATED: docs/discovery-pass-schemas.md — 4 passes, validation gates, JSON shapes per pass output

Final · 18:00

11/11 complete · 256 assertions · STATUS.md updated · git commit pushed

Total files created/modified: 41 · Insertions: 2,234
Items parked: 0 · Items failed: 0 · Items deferred: 0 (all buildable items processed)