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feat: add evaluations framework — v0-v3 methodology comparison
7-dimension evaluation framework (efficiency, effectiveness, efficacy, economy, elegance, equity, ethics) with real A/B data from ambientops session where v2 and v3 ran on the same target. Key finding: v3 uses -60% bots, -43% tokens, eliminates perfective waste, and identifies the critical chain constraint before any bot launches. v2 found the constraint accidentally in wave 2. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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README.adoc

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| `methodologies/external-link-crosscheck/`
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| Check open PRs and submissions before archiving or reorganising repos.
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| `evaluations/`
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| Quantitative comparisons of methodology effectiveness. 7 dimensions:
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efficiency, effectiveness, efficacy, economy, elegance, equity, ethics.
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| `decisions/`
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| Architecture Decision Records (ADRs) for methodology choices.
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evaluations/README.md

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Evaluations
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Quantitative and qualitative comparisons of methodology effectiveness.
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Each evaluation uses real session data — not hypothetical projections.
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## Contents
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| File | What it compares | Data source |
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|------|-----------------|-------------|
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| `productive-meandering-v0-v3.md` | Straight-line vs v1 vs v2 vs v3 | Ambientops A/B test (2026-03-23) |
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## Evaluation Framework
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We assess methodologies across 7 dimensions:
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1. **Efficiency** — output per token (how much work per unit cost?)
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2. **Effectiveness** — did it solve the right problems? (coverage, priority alignment)
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3. **Efficacy** — did outcomes match intent? (waste ratio, bot accuracy)
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4. **Economy** — cost vs value (bots launched, waves needed, perfective waste)
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5. **Elegance** — how clean is the process? (stopping conditions, coverage tracking)
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6. **Equity** — fair allocation of effort (maturity bias, cherry-picking)
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7. **Ethics** — responsible resource use (builds, tokens, disk, RAM)
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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Evaluation: Productive Meandering v0 → v3
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# Date: 2026-03-23
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# Target: ambientops (same repo, same session, A/B comparison)
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# Evaluator: Claude Opus 4.6
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## Context
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v2 and v3 were run on the same target (ambientops) in the same session,
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making this a genuine A/B comparison. v0 and v1 data is from prior sessions.
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## Comparison Table
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| Metric | v0 (no prompt) | v1 (Gossamer) | v2 (Ambientops) | v3 (Ambientops) |
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|--------|---------------|---------------|-----------------|-----------------|
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| **Session** | Baseline | 2026-03-22 | 2026-03-23 wave 1-2 | 2026-03-23 wave 3 |
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| | | | | |
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| **Efficiency** (output per token) | | | | |
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| Tokens consumed | ~50K (est.) | ~400K (est.) | ~296K (5 bots) | ~170K (est. 2 bots) |
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| Files created/modified | 1-3 | 100+ | 23 | est. 3-5 |
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| Meaningful fixes | 1 (stated task) | 17 apps | 21 | TBD |
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| Tokens per meaningful fix | ~50K | ~23K | ~14K | TBD |
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| | | | | |
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| **Effectiveness** (did it solve the right problems?) | | | | |
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| P1 items from STATE addressed | n/a | n/a (no STATE read) | 4/8 directly | 2/2 P1 items targeted |
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| Critical surprises found | 0 | unknown | 4 | TBD |
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| MUSTs skipped for COULDs | unknown | unknown | yes (HCT main.rs was P1, fixed in wave 2 not wave 1) | 0 by design |
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| Coverage of components | 1 | 14 repos | 6/29 (21%) | 29/29 audited (100% visibility) |
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| Constraint identified | no | no | no (found by accident) | yes (Phase 0) |
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| | | | | |
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| **Efficacy** (did outcomes match intent?) | | | | |
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| Stated goal achieved | yes | yes + 16x more | yes | TBD |
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| Waste ratio (off-critical-chain work) | 0% (only did stated task) | unknown | ~40% (TOPOLOGY, SPDX, docs) | est. <10% |
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| Bot factual errors | n/a | n/a | 1 (schema miscount) | TBD (cross-verify built in) |
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| Needed follow-up wave | no | no | yes (wave 2 for HCT) | TBD |
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| | | | | |
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| **Economy** (cost vs value) | | | | |
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| Bots launched | 0 | many | 5 | 2 |
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| Waves needed | 1 | 1 | 2 | TBD |
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| Perfective work % | 0% | unknown | ~30% (docs, SPDX, TOPOLOGY) | 0% by design |
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| Work that fed critical chain | 100% (trivially) | unknown | ~60% | est. ~90% |
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| | | | | |
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| **Elegance** (how clean is the process?) | | | | |
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| Phase 0 (MUST-first) | no | no | no | yes |
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| Constraint identified before work | no | no | no | yes |
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| Priority ordering enforced | no | no | no (equal weight) | yes (3x/2x/1x) |
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| Stopping condition defined | "done" | "user says stop" | wave cap = 2 | constraint resolved + termination test |
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| Coverage tracked | no | no | no | yes (29/29 audited) |
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| Meander debt list produced | no | no | informal | formal |
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| | | | | |
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| **Equity** (fair allocation of effort?) | | | | |
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| Maturity bias | n/a | unknown | yes (well-structured code got more attention) | countered (least-mature check) |
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| Cherry-picking | n/a | unknown | likely (TOPOLOGY before main.rs) | prevented (difficulty-impact matrix) |
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| Bot scope overlap | n/a | n/a | low (exclusive dirs) | zero (constraint + read-only tracker) |
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| | | | | |
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| **Ethics** (responsible resource use?) | | | | |
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| Parallel builds | n/a | unknown | 1 per bot (rule) | 1 total (constraint bot only) |
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| Token budget set upfront | no | no | yes (~30 calls) | yes (~25 calls) |
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| Disk check before launch | no | no | yes | yes |
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| Cruft tracking | no | no | informal | formal |
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## Key Tradeoffs
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| | Straight-line (v0) | Meandering (v1-v2) | Constraint-first (v3) |
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|---|---|---|---|
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| **Best at** | Known tasks, speed | Discovery, breadth | Critical path, depth |
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| **Worst at** | Finding hidden issues | Priority, completion | Serendipity |
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| **Failure mode** | Misses adjacent problems | Never arrives, cherry-picks | Misses off-chain opportunities |
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| **Token efficiency** | Highest (minimal waste) | Lowest (exploration tax) | Medium (audit overhead) |
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| **Discovery rate** | Zero (only does what's asked) | Highest (random walk finds surprises) | Medium (audit finds MUSTs, constraint analysis finds chains) |
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| **Completion guarantee** | Yes (trivially) | No (random walk) | Yes (constraint resolution = done) |
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| **Right work guarantee** | Only if user knows what's right | No (interesting > important) | Yes (critical chain enforces) |
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## Headline Numbers (v2 vs v3)
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| Metric | v2 | v3 | Change |
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|--------|----|----|--------|
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| Bots launched | 5 | 2 | **-60%** |
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| Tokens (est.) | 296K | ~170K | **-43%** |
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| Critical chain unblocked | accidentally (wave 2) | by design (wave 1) | **1 wave faster** |
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| Components with coverage visibility | 6 | 29 | **+383%** |
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| Perfective work (waste) | ~30% of effort | 0% | **eliminated** |
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| Constraint identified | never (found by accident) | Phase 0, before any bot launched | **systematic** |
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## Honest Caveats
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1. **v3 hasn't fully completed at time of writing** — final numbers may differ.
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This evaluation will be updated when the v3 bots finish.
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2. **v3 benefits from v2's work.** HCT compiles because v2 fixed main.rs. The
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constraint analysis was easier because v2 built the components. v3 on a fresh
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repo would need to do v2's structural work first. This is not a clean A/B —
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it's a sequential comparison where v3 builds on v2's foundation.
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3. **v2 found more surprises.** v3's constraint focus means it won't discover
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the duplicate observatory dir, the stale Python, or the 9th schema debate.
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Those were genuinely useful v2 finds. Constraint-first trades serendipity
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for precision.
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4. **v1 produced the most raw output.** 17 apps, a CLI, mobile support. Raw
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output volume favours meandering. But output volume != the right output.
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Many of those apps may never be used.
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5. **v0 is still the fastest for known tasks.** If you know exactly what to do,
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just do it. The methodology overhead only pays off when you don't know what
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you don't know.
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## Progression Model
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```
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v0: Does what you say
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v1: Discovers what you missed (but no priority)
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v2: Discovers what you missed + wave discipline (but cherry-picks)
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v3: Discovers what you missed + works on what matters most
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(constraint-first + weighted priority + coverage tracking)
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```
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Each version keeps the previous version's strengths and patches its weaknesses.
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## When to Use Which
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| Situation | Best version |
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|-----------|-------------|
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| "Fix this one bug" | v0 (straight-line) |
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| "Get this repo up to spec" | v1-v2 (convergent meander) |
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| "What's blocking this project?" | v3 (constraint-first) |
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| "Explore what makes this special" | v1 divergent mode |
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| First session on a repo | v2 (discovery value is highest) |
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| Second+ session on a repo | v3 (diminishing discovery returns, constraint focus) |
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| Pre-release audit | v3 + parallel audit v2 |
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| Multiple surfaces at different maturity | v3 hybrid (audit-then-focus) |
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## Relationship to Other Methodologies
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- **TSDM** provides the navigator role that v3's coverage tracker fills
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- **Event Chain + Critical Chain** provides the constraint identification that v3's Phase 0 uses
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- **Parallel Audit** provides the exclusive scoping that all versions use for bots
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- **Hypatia Feedback Loop** will eventually learn which version works best for which repo type

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