AI Council — Agent 8 of 8
Chief Coaching Officer
Synthesis & prioritization
Seven specialists can disagree. The Chief Coaching Officer resolves the debate and hands you one ranked Kill List — dollar impact first, not noise.
Not another analyst — the synthesizer. Reads all seven specialist JSON outputs, the debate transcript, pre-computed financial context (including specialist __* aggregate blocks), and prior audit comparison — then produces the operational deliverable: letter grade, trajectory, ranked Kill List seeded from precomputed_kill_candidates, debate_synthesis, and action plan.
What the Chief Coaching Officer actually outputs
Not a chat summary — a structured forensic report from your canonical trade tape, with grades, benchmarks, and prioritized recommendations.
Sample Chief Coaching Officer report
Illustrative output from a populated audit — same structure as the in-app agent renderer.
Chief Coaching Officer's Assessment
Grade C with improving trajectory: leakage down 18% vs prior window but three high-confidence leaks remain. Debate resolved sizing conflict — reduce Pullback Long in chop before scaling ORB Long. Kill List seeded from precomputed dead setup + timing leak blocks.
Benchmark analysis
What you're doing well
Unanimous across Performance Analyst and Setup Surgeon — scale candidate after risk review.
Total preventable leakage improved vs prior comparable audit window.
Areas needing attention
Dead setup from __dead_setups_summary — negative expectancy over 14 trades.
Entry & Exit Judge + Execution Tactician both flag fear exits; debate prioritized over slippage diagnostics.
Recommended actions
Week 1: Kill Mean Reversion Short; reallocate trade count to ORB Long per Setup Surgeon + CCO debate resolution.
Expected impact: −$340/mo setup bleed removed; concentrates edge on star setup.
Week 2–3: Cap early exits when MFE capture < 50%; hold first partial to plan target.
Expected impact: Recovers ~2.8R/mo from pre-computed timing leak summary.
What it reads from your tape
The Chief Coaching Officer receives pre-aggregated metrics from your completed trades — not a generic chat summary. Every input comes from your canonical trade tape.
- →All seven specialist agent outputs and debate transcript
- →Pre-computed kill candidates from dead setups, regime dangers, timing leaks, behavioral costs
- →Cross-agent conflicts and consensus areas from structured debate
- →Prior audit grade/leakage for trajectory (improving / stable / declining)
- →Financial ground truth: P&L, behavioral costs, R left on table, oversized trades
What it detects
- Highest-ROI leaks ranked by monthly dollar impact with source_agent attribution
- Cross-agent pattern conflicts resolved through debate
- Issues multiple agents flag independently (high confidence)
- Behavioral vs execution slippage categorization for Kill List
- Grade and trajectory synthesis vs prior comparable audit window
What it delivers
- coaching_summary with grade, strengths, main_issues, trajectory
- kill_list (up to 7 items) ranked by dollar_impact_monthly
- debate_synthesis with consensus and resolved conflicts
- total_preventable_leakage_monthly and week-by-week action_plan
Get one ranked Kill List — not seven conflicting reports
Run the full AI Council Deep Audit. The Chief Coaching Officer synthesizes all specialists into grade, Kill List, and action plan — free on a populated demo account.
Example finding
“Rank 1: Kill Mean Reversion Short — est. −$340/mo (Setup Surgeon + debate). Grade C→B trajectory; leakage down 18% vs prior window.”
How it fits the Council
The Chief Coaching Officer runs in parallel with six other specialists on the same audit period. Each agent sees metrics tuned to its domain. When specialists disagree, they debate transparently in The Situation Room before the Chief Coaching Officer synthesizes everything into a dollar-ranked Kill List.
- 1Seven specialists analyze pre-computed metrics in parallel
- 2Disagreements surface in The Situation Room debate transcript
- 3Chief Coaching Officer ranks preventable leakage into your Kill List ($/month)
Meet the other agents
Performance Analyst
Profitability & statistical edge
Learn more Agent 2Behavioral Psychologist
Discipline & emotional leakage
Learn more Agent 3Execution Tactician
Timing & fill quality
Learn more Agent 4Risk Assassin
Capital preservation
Learn more Agent 5Setup Surgeon
Setup edge & decay
Learn more Agent 6Regime Cartographer
Market environment fit
Learn more Agent 7Entry & Exit Judge
Opportunity capture forensics
Learn moreFrequently asked questions
Frequently asked questions
Why do I need a Chief Coaching Officer if I have seven specialists?
Specialists can disagree — Execution Tactician may flag premature exits while Behavioral Psychologist attributes the same trades to fear. The CCO moderates debate, resolves conflicts with evidence, and outputs one prioritized Kill List instead of seven conflicting reports.
How is the Kill List ranked?
Each item is ranked by estimated monthly dollar impact, seeded from precomputed_kill_candidates (dead setups, regime dangers, timing leaks, behavioral P&L, oversized trades). The CCO reconciles specialist estimates against financial ground truth, weights debate consensus, and sorts by impact.
Where do I see the CCO output in the app?
Kill List tab shows the ranked leakage list. Reality Check (Coach tab) shows grade, strengths, issues, and action plan. Situation Room (Deep Audit) shows debate transcript plus CCO synthesis with kill_list and debate_synthesis blocks.
How does trajectory work?
When a prior comparable audit exists, the CCO compares current grade and total_preventable_leakage_monthly to the previous period. Grade up or leakage down → improving; opposite → declining; otherwise stable. First audit defaults to stable baseline.
Does the CCO invent dollar figures?
No. The prompt requires reconciling against pre-computed financial context and precomputed_kill_candidates from specialist __* aggregate blocks. R-based leaks cite opportunity_cost; behavioral items use emotional_triggers P&L; setup kills use __dead_setups_summary savings.
See Chief Coaching Officer on your trade history
Inspect the full AI Council on a populated account — every agent visible, read-only, no credit card.