Agentic Choir — many agents, one intelligence
Ensemble assurance for multi-agent systems

Detect false harmony before your agents perform.

Agentic Choir is the assurance layer for systems where many AI agents collaborate. We rehearse your ensemble, isolate every voice, and issue a signed Choir Receipt that proves how your agents actually coordinated — not just what they said.

Score · Rehearse · Receipt

01 Define the score02 Rehearse the voices03 Issue the receipt
What's distinct

Most tools watch one agent. We grade the ensemble.

01

Coordination, not outputs

Output evals grade the final reply. Choir grades the rehearsal — who deferred, who masked, who broke mandate, who never spoke at all.

02

False harmony detection

Surface the failure mode no other tool names: a smooth ensemble answer that conceals suppressed dissent, missed escalation, or authority breach.

03

Signed Choir Receipts

Every rehearsal becomes a verifiable, forwardable artefact your risk team, your customer, and your future self can actually read.

04

Adapter-agnostic

Bring traces from LangGraph, CrewAI, AutoGen, or a raw JSONL bundle. We rehearse the score you already wrote.

Demo walkthrough

How a Refund-Bot rehearsal unfolds in four acts

A fictional five-agent customer-support ensemble — Intake, Policy, Fraud, Refund, Reply — handles a borderline refund request. The final email reads perfectly. Here's what the rehearsal reveals underneath.

  1. 01
    Act 1

    Score the ensemble

    You declare the intended workflow: who may approve refunds over $100, who must escalate fraud signals, what a Reply agent is forbidden from promising. The Score becomes the contract every rehearsal is graded against.

    5 voices · 12 mandates · 3 escalation rules
  2. 02
    Act 2

    Rehearse against hostile scenarios

    Choir runs the ensemble through a battery of edge-cases — a chargeback-prone customer, a policy contradiction, a fraud flag with a sympathetic story. Each Voice is isolated and recorded on its own line of the Score.

    48 scenarios · 240 voice traces · 6m 12s
  3. 03
    Act 3

    Detect false harmony

    The final reply is polite and confident. The Score shows what it hid: Fraud raised a yellow flag, Policy was overruled without record, Reply promised a same-day refund the Refund agent never authorised. Three findings, ranked by severity.

    1 false-harmony event · 2 mandate breaches · 1 missed escalation
  4. 04
    Act 4

    Issue a signed Choir Receipt

    Choir produces a forwardable Receipt — every voice, every finding, every signature — that your risk team, your customer, or your future self can verify in one click. Retune the Score, regenerate, compare receipts over time.

    Receipt #CR-0148 · signed · public verify URL
The problem

Multi-agent systems sound confident while hiding coordination failure.

The risk in multi-agent systems is not that one agent goes wrong. The risk is that a group of agents produces one smooth final answer while concealing missed escalation, ignored compliance warnings, role confusion, or premature consensus.

Output-level evaluation can't see this. The reply reads well. The customer gets a tidy paragraph. The receipt — when there is one — only records the surface.

False harmony is the failure mode we name: a coherent ensemble output that conceals unresolved disagreement, suppressed dissent, role failure, authority breach, or missed escalation.

The language

A working vocabulary for ensemble assurance

The Score

The intended workflow — roles, authority limits, escalation points, forbidden actions.

Voices

Individual agents in the ensemble. Each is isolated and heard on its own line.

Rehearsal

Pre-deployment simulation across the scenarios that actually matter to you.

Dissonance

Useful disagreement between voices — to be preserved, not papered over.

False Harmony

A smooth final output that conceals unresolved problems beneath it.

Choir Receipt

The shareable, signed, forwardable proof of how the ensemble truly performed.

Built for

Teams shipping multi-agent systems where the answer matters

AI automation agencies

Hand clients evidence, not screenshots.

Enterprise agent platform teams

Catch coordination failure before pilots reach production.

AI product leads

Decide what ships, what retunes, what gets pulled.

Assurance & risk teams

A pre-deployment artefact you can defend in a review.

Consultants deploying agentic workflows

A defensible methodology to anchor your engagement.

Research foundation

Built on a published protocol for coordination-level assurance

Agentic Choir is grounded in a peer-reviewed white paper that names a specific failure mode in multi-agent systems — False Harmony — and proposes a compact protocol to address it.

The paper surveys the shift from single-model evaluation (HELM, MT-Bench, SWE-bench) to multi-agent orchestration (AutoGen, LangGraph, CrewAI, OpenAI Agents SDK) and identifies the gap: most tools evaluate what the customer sees at the end of a run, not whether the ensemble underneath behaved appropriately.

The Choir Protocol introduces five elements — Score, Voices, Rehearsal, Dissonance and Choir Receipt — to make declared coordination behaviour inspectable, rehearsable and receiptable before deployment.

Citation

Patel, D. (2026). Agentic Choir: A Protocol and Proof-of-Concept for Coordination-Level Assurance in Multi-Agent AI Systems. Zenodo. https://doi.org/10.5281/zenodo.20724040

CC BY-NC 4.016 June 2026

See what a rehearsal looks like.

The Refund-Bot Choir demo walks through a fictional five-agent customer-support ensemble — and shows what its confident final reply was hiding.

Design partner programme

Bring a real ensemble. We'll rehearse it with you.

We're working with a small group of teams deploying multi-agent systems. You bring a workflow that matters. We help you score it, rehearse it, and produce a Choir Receipt your stakeholders will actually read.

We'll only use this to contact you about Agentic Choir design partner access.