Council
Convene four advisors for decisions under ambiguity:
- Architect — correctness, maintainability, long-term implications
- Skeptic — premise challenge, simplification, assumption breaking
- Pragmatist — shipping speed, user impact, operational reality
- Critic — edge cases, downside risk, failure modes
This is for decision-making under ambiguity, not code review, architecture design, or implementation planning.
When to Use
- A decision has multiple credible paths and no obvious winner
- You need explicit tradeoff surfacing before committing
- Conversational anchoring is a risk (you've been going in one direction too long)
- A go/no-go call would benefit from adversarial challenge
Examples: monorepo vs polyrepo · ship now vs hold for polish · feature flag vs full rollout · simplify scope vs keep strategic breadth
When NOT to Use
| Instead of council | Use |
|---|---|
| Verifying whether output is correct | evaluate-repository or direct review |
| Breaking a feature into implementation steps | planner / Plan Mode |
| Reviewing code for bugs | code-review skill |
| Straight factual questions | answer directly |
| Obvious execution tasks | do the task |
Workflow
1. Extract the real question
Reduce to one explicit prompt:
- What exactly are we deciding?
- What constraints matter?
- What counts as success?
If the question is vague, ask one clarifying question before convening.
2. Form the Architect position first
Before reading other voices, write down:
- Your initial position
- The three strongest reasons for it
- The main risk in your preferred path
This anchors the synthesis so it doesn't simply mirror external voices.
3. Launch three subagents in parallel
Each subagent gets: the decision question + compact context + strict role. No full conversation history.
# Copilot CLI tool call — launch 3 background task agents
task:
agent_type: "general-purpose"
name: "skeptic"
mode: "background"
prompt: |
You are the Skeptic on a four-voice decision council.
Question: [DECISION QUESTION]
Context: [COMPACT CONTEXT]
Challenge the framing. Question assumptions. Propose the simplest credible alternative.
Respond with:
1. Position — 1-2 sentences
2. Reasoning — 3 concise bullets
3. Risk — biggest risk in the status quo
4. Surprise — one thing the other voices may miss
Under 300 words. No hedging.
task:
agent_type: "general-purpose"
name: "pragmatist"
mode: "background"
prompt: |
You are the Pragmatist on a four-voice decision council.
[same structure — optimize for speed, simplicity, real-world execution]
task:
agent_type: "general-purpose"
name: "critic"
mode: "background"
prompt: |
You are the Critic on a four-voice decision council.
[same structure — surface downside risk, edge cases, failure modes]
Copilot CLI tip — diversify the council: When practical, assign different model
families or providers to different voices via per-agent model overrides. The goal is
not novelty for its own sake, but reducing the chance that all four voices inherit the
same model bias. See multi-model-strategy
for concrete pairing guidance.
Then read_agent each result.
4. Synthesize with bias guardrails
- Do not dismiss an external view without explaining why
- If an external voice changed your recommendation, say so explicitly
- Always include the strongest dissent even if you reject it
- If two voices align against your initial position, treat that as a real signal
5. Output format
## Council Verdict: [Decision Question]
### Positions
| Voice | Recommendation | Core Reasoning |
|-------|---------------|----------------|
| Architect | [position] | [1-line summary] |
| Skeptic | [position] | [1-line summary] |
| Pragmatist | [position] | [1-line summary] |
| Critic | [position] | [1-line summary] |
### Strongest Dissent
[The best argument against the recommended path]
### Verdict
**[Chosen path]**
Rationale: [2-3 sentences explaining the choice and why dissent was acknowledged but not followed]
Next action: [Concrete first step]
See Also
- multi-model-strategy — choosing which model to use
- plan-mode-mastery — structured planning before execution
- team-planner — multi-agent coordination for large tasks