cross-eval

CategoryGeneral
AuthorAlireza Rezvani
LicenseMIT
Rating4.30/5
Uses13.9K

/cs:cross-eval — Multi-Model Consensus

Command: /cs:cross-eval <memo-or-brief>

Runs the same memo through multiple model providers and reconciles divergences. Use for high-stakes, irreversible decisions where single-model bias is too costly: M&A, major fundraises, layoffs, strategic pivots, regulatory commitments.

Adapted from gstack's /codex cross-review pattern, generalized to business memos instead of code PRs.

When to Run

  • Before signing a term sheet
  • Before announcing a layoff
  • Before committing to a regulated market
  • Before any decision where reversing costs > 6 months of company time
  • When the boardroom vote was split or had a CRITICAL dissent

Models Used (graceful degradation)

The command tries to invoke each available model in order:

1. Claude (primary, always available) — the boardroom's native voice
2. Codex / OpenAI (if OPENAI_API_KEY or codex CLI available)
3. Gemini (if GEMINI_API_KEY or gemini CLI available)

If only Claude is available, the command runs Claude-only with adversarial mode — same model, different prompt seeds — and clearly labels the output as single-model.

Workflow

1. Read the memo / brief
2. Probe environment for available model CLIs / API keys
3. For each available model:
- Send the memo with this prompt prefix:
> "You are an independent C-suite reviewer. The following is a board memo from another company's boardroom. Identify the top 3 concerns, the top 3 supports, and your vote (APPROVE / REJECT / DEFER). Do not deferentially agree — assume the memo's reasoning is flawed until proven otherwise."
4. Collect three independent reviews
5. Reconcile: where do they agree? Where do they diverge?
6. Surface the divergences as questions for the founder

Output Format

Saved to ~/.claude/cross-eval/YYYY-MM-DD-<slug>.md:

markdown
# Cross-Eval: <memo title>
Date: YYYY-MM-DD
Memo reviewed: <link>
Models invoked: Claude / Codex / Gemini (or noted fallbacks)

Vote Tally

| Model | Vote | Confidence | |---|---|---| | Claude | APPROVE | High | | Codex | DEFER | Med | | Gemini | APPROVE | Low |

Consensus Concerns (≥2 models flagged)

1. <concern> — flagged by Claude + Codex 2. <concern> — flagged by all 3

Divergent Concerns (1 model flagged)

  • <Codex only:> <concern> — worth a second look
  • <Gemini only:> <concern> — likely noise, but check

Consensus Supports (≥2 models endorsed)

1. <support> 2. <support>

Recommendation

  • 🟢 GO if 2+ models APPROVE and no CRITICAL concerns from any model
  • 🟡 PAUSE if any model is DEFER or any concern is CRITICAL
  • 🔴 STOP if 2+ models REJECT

Open Questions for Founder

1. <question raised by divergence> 2. <question raised by divergence>

Why This Matters

Single-model recommendations have systematic biases. Claude trends helpful and may under-weight risk. Codex (OpenAI) trends more cautious on emerging-market and regulatory topics. Gemini trends more cautious on technical scale claims. Disagreement is signal, not noise.

This is the safety net before irreversibility — not a replacement for outside counsel or a real board.

Graceful Degradation

If only Claude is available:

markdown
Models available: Claude only
Mode: ADVERSARIAL — running 3 independent Claude passes with different system prompts:
  1. Standard reviewer
  2. Devil's advocate (must find 3 critical concerns)
  3. Steelman (must find 3 strongest reasons to approve)

This is weaker than true multi-model. Treat the result as suggestive, not conclusive.

Routing

  • /cs:decide — if consensus is GO
  • /cs:freeze — if consensus is PAUSE
  • /cs:boardroom (re-run) — if consensus is STOP

Related

  • Inspiration: gstack's /codex cross-review pattern (adapted to business memos)

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Version: 1.0.0

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