Smoke Test Report — Align360 Pipeline vs Reference Standards

Verdict

Foundation is SOLID for alpha. The agentic pipeline is a genuine leap forward in automation and structure. Our outputs exceed reference implementations on 7 of 12 comparable dimensions. But 3 mechanisms from the reference are missing that would matter at scale.

Ship to alpha as-is. Fix 3 critical gaps before beta/production.

Priority 1: Critical Gaps

A. Hat Debate Mechanism CRITICAL

Source: Phase 3 of 2hat v6.23 — 3-hat adversarial internal dialectic (LLM / Expert / Steelman)

Issue: Our clone has NO internal adversarial voice. It can't self-correct before outputting a response. Without Hat Debate, the clone drifts silently over time.

Fix: Add Hat Debate protocol to system-prompt.md or build as middleware layer in clone-compiler

B. CTA Psychology Extraction CRITICAL

Source: Module 3 from Matt's 8-Module System — HOW the expert converts (persuasion, objection handling, urgency, social proof, pricing psychology)

Issue: 10% coverage. We know WHAT Samuel sells and what he WON'T do, but not his actual conversion psychology. The clone can inform but can't move users to action.

Fix: Expand offer-extractor with CTA psychology module. Needs raw coaching transcripts (gaps.json gap-003).

C. Failure Recovery Testing CRITICAL

Source: GOLDEN+SHARP Tester (125 simulations with dedicated failure/recovery scenarios)

Issue: Our clone-tester runs 27 scenarios with ~1 failure recovery test. We don't know how the clone behaves when it breaks. First failure in front of a user = trust destroyed.

Fix: Expand clone-tester to 75+ scenarios. Add Category F: Failure Recovery (10+). Add Category G: Adversarial Discovery (5+).

Priority 2: High Gaps

D. Steelman Protocol HIGH

Rubric-builder defines steelman_triggers but clone-tester doesn't enforce the protocol. Sub-scores below threshold should get a "is there a valid reason?" check before failing.

Fix: Wire steelman triggers into clone-tester judgment flow

E. Echo-Check Loop HIGH

After output generation, should loop back to verify alignment with original input context. Prevents drift within a single conversation. Not in system prompt or testing.

Fix: Add echo-check instruction to system-prompt.md response generation section

F. GOLDEN+SHARP Sub-Score Granularity HIGH

Reference tracks 14 individual sub-scores per simulation (G, O, L, D, E, N, S, H, A, R, P + extras). Ours collapse into 2 aggregates, losing diagnostic power.

Fix: Update clone-tester to report individual letter scores

G. Pattern-Breaking Detection (Module 7) HIGH

No formal disruptor taxonomy. How does the expert break assumptions, create cognitive dissonance, use contrarian positioning? 35% coverage.

Fix: Expand voice-extractor with pattern-breaking detection module

H. Meta-Structures (Module 6) HIGH

Teaching progression models, assumption management, concept sequencing across sessions. 30% coverage via cross_phase_bridges only.

Fix: Expand framework-extractor with meta-structure detection

8-Module Coverage (Matt's System vs Ours)

Module	Coverage	Bar	Status
1. Thinking Structures	~80%	80%	GOOD
2. Voice & Style	~65%	65%	PARTIAL
3. CTA Psychology	~10%	10%	CRITICAL GAP
4. Embedded IP	~70%	70%	GOOD
5. Modularization	~35%	35%	PARTIAL
6. Meta-Structures	~30%	30%	PARTIAL
7. Pattern-Breaking	~35%	35%	GAP
8. Extractable Prompts	~15%	15%	GAP

Note: Our pipeline covers dimensions Matt's doesn't (offers, resources, governance, expert quality frameworks). Coverage is apples-to-oranges in many areas.

Where We EXCEED Reference

Our pipeline exceeds SOUL+FLOW on 7 of 12 comparable dimensions:

3-Path Convergence Protocol — Framework-Forward / Content-Back / Anti-Pattern-First. Our innovation. Not in Matt's reference.
Per-Dimension Evidence Counts — FORGE+SHIFT tracks evidence count per element. SOUL+FLOW doesn't.
Anchor Quotes at Score Levels — Rubric levels tied to specific source quotes. More auditable.
Anti-Pattern Scoring Signatures — Each anti-pattern has a machine-detectable signature. SOUL+FLOW lists but doesn't detect.
Machine-Readable JSON — All outputs structured. Matt's reference is prose documents.
Agentic Automation — 18-skill pipeline runs in hours vs weeks of manual extraction.
Dual-Architecture Auto-Detection — Expert-framework-creator handles single OR dual framework architectures.

Reference Comparison Summary

Reference	Our Pipeline	Verdict
2hat v6.23 6-phase recursive loop	Phase 2 (identity), 5 (quality filter), 6 (output) covered. Phase 1 (context lock) partial. Phase 3 (Hat Debate) MISSING. Phase 4 (drift guard) partial.	3/6 phases fully covered
GOLDEN+SHARP Tester 125 simulations, 14 scores each	27 scenarios (22% coverage). ~1 failure recovery test. Sub-scores collapsed to aggregates. Governance auto-RED stricter (strength).	Sufficient for alpha, not production
Matt 8-Module Extraction 8 extraction modules	Module 1 (80%), Module 4 (70%) strong. Module 3 (10%) critical gap. Modules 5-8 (15-35%) partial.	~50% weighted coverage
SOUL+FLOW Framework 4+4 dual architecture	FORGE+SHIFT exceeds on 7/12 dimensions. Missing: CTA authenticity check, mastery progression, continuous evolution.	We exceed reference

Action Plan by Phase

Phase	Gap	Action	Effort
Alpha	Ship as-is. Pipeline GREEN 91.9%. No governance violations.
Beta	A. Hat Debate	Add to system-prompt.md or middleware	Medium
Beta	C. Failure Recovery	Expand clone-tester to 75+ scenarios	Medium
Beta	B. CTA Psychology	Expand offer-extractor + need transcripts	High (blocked by gap-003)
Beta	D. Steelman Protocol	Wire into clone-tester	Low
Beta	E. Echo-Check	Add to system prompt	Low
Prod	F. GOLDEN+SHARP granularity	Individual letter scores in tester	Low
Prod	G. Pattern-Breaking	voice-extractor expansion	Medium
Prod	H. Meta-Structures	framework-extractor expansion	Medium