Council is live · free · last verified 8 Nov 2026 · viability healthy
Council
Council runs a blind peer review between multiple AI models and scores how far apart their answers diverged.
The product is blind peer review, not multi-model chat — anonymizing authorship is what turns three answers into a disagreement worth reading. Council is refreshingly honest that the divergence score measures agreement, not correctness, and the Dissent view exists precisely because a majority can be confidently wrong together. At $0 with your own keys, the only recurring cost is token spend.
Verdict generatedVerified 5d ago · liveness 71/100 · cite: rightaichoice.com/tools/council
- Analysts and researchers who want multiple AI models to cross-check each other before a high-stakes call
- Mac users already holding several API keys who want structure around model comparison
- Privacy-conscious professionals running local Ollama or self-hosted endpoints with no account
- Developers gating CI on model divergence via the council CLI and JSON output
- Anyone wanting a single everyday AI assistant — three seats and a review round is overhead for routine questions
- Windows, Linux or mobile users — Council is a native macOS app with no web version
- Teams needing shared workspaces or collaborative review — journal and history are per machine
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Skip Council if you want one assistant to answer routine questions quickly, or if you're not on macOS — a three-seat blind-review council with your own API keys is deliberate overhead you won't use.
The app is $0, but each council round bills your own provider accounts for three model calls — plus a debate round, peer-review passes and a chair synthesis if you enable them, so a heavy day of comparisons can cost
At $0 under the MIT license with no account, Council is cheaper than any commercial multi-model comparison product — your effective bill is the token spend on the API keys you already hold. That makes it the low-cost option against subscription chat assistants that keep one model in the driver's seat, and roughly free next to per-seat team AI platforms. Where it stops being cheap is volume: three-seat rounds with debate, peer review and a chair synthesis multiply your provider spend, so heavy
In short
Council — Council runs a blind peer review between multiple AI models and scores how far apart their answers diverged. Best for Analysts and researchers who want multiple AI models to cross-check each other before a high-stakes call, Mac users already holding several API keys who want structure around model comparison, Privacy-conscious professionals running local Ollama or self-hosted endpoints with no account. Free to use.
What is Council?
Council — Council runs a blind peer review between multiple AI models and scores how far apart their answers diverged. Best for Analysts and researchers who want multiple AI models to cross-check each other before a high-stakes call, Mac users already holding several API keys who want structure around model comparison, Privacy-conscious professionals running local Ollama or self-hosted endpoints with no account. Free to use.
Council takes the single-model habit and breaks it on purpose. You pose one question to three advisor seats, each pointed at any of twelve backends — Claude, GPT, Gemini, DeepSeek, Grok, Mistral, Perplexity, OpenRouter, a local Ollama instance, on-device Apple Intelligence, or one of two custom OpenAI-compatible endpoints like llama.cpp, LM Studio or vLLM. Answers stream live in parallel panels, then each advisor critiques the others without knowing which model wrote what. The payoff is the divergence score: a 0–100 read of how far apart the council landed, how many camps formed, and which advisor is the outlier. A Dissent view puts that lone answer in front of you on its own instead of averaging it into mush. Optional knobs include a bounded one-rebuttal debate round with the originals kept underneath, a neutral chair model that moderates and writes the synthesis rather than answering, selective deliberation over which answers enter review, per-seat personas, and a Devil's Advocate role. A guest seat lets you paste an outside ChatGPT or Claude answer into blind review anonymously. Around the loop sits a local decision journal with a macOS reminder to log how the call turned out, .md/.txt document attachment up to 20,000 characters, image input for vision-capable models, a running token and dollar estimate with an optional spend alert, and a council CLI that pipes documents in and returns JSON so you can gate CI on divergence. It is MIT-licensed, account-free, telemetry-free and bring-your-own-keys. Compared with split-screen chat tools or a single everyday assistant, the trade is deliberate friction — a review round and a debate round cost extra tokens — in exchange for a second and third opinion you can interrogate rather than just stack side by side.
Key features
- Multi-model query — one prompt fanned out to three advisor seats in parallel
- Twelve backends including Claude, GPT, Gemini, DeepSeek, Grok, Mistral, Perplexity and OpenRouter
- Local model support via Ollama plus two custom OpenAI-compatible endpoints
- On-device Apple Intelligence backend on macOS 26 Apple silicon
- Blind peer review — advisors critique each other without knowing the author
- Divergence score 0–100 with camps formed and outlier identification
- Dissent view surfacing the outlier's full answer on its own
- Optional bounded debate round — one rebuttal per advisor, originals kept underneath
- Neutral chair model that moderates and writes the synthesis instead of answering
- Selective deliberation — choose which answers enter peer review
- Per-seat personas (Analyst, Practitioner, Skeptic) plus a Devil's Advocate role
- Guest seat — paste an outside AI answer into blind review anonymously
- Local decision journal with macOS reminder to log the outcome
- Document attachment (.md/.txt) up to 20,000 chars plus image input for vision models
- council CLI — pipe documents in, get JSON out, gate CI on divergence
Behind the verdict
We'd reach for Council when a question is genuinely load-bearing: a pricing model, a technical architecture call, a diagnosis you'll act on. Sending it to one model gives you that model's blind spots with a confident tone attached. Three seats plus a blind critique round is a cheap way to find out whether the answer is actually contested. The divergence score is the feature that earns the install. Seeing "three camps, one outlier" tells you more about your question than three parallel chat windows ever will, and surfacing the dissenter rather than averaging it is the right call. The bounded debate round is worth the extra tokens on high-stakes prompts; on routine ones it just adds latency. Where it bites: this is macOS only, so Windows, Linux and mobile users are out. There's no shared workspace — the journal and history live on one machine, which rules it out for team review workflows. And you supply every key, so the $0 price tag still comes with per-query token spend that climbs fast once you're running debate rounds across three frontier models. Closest alternative is just keeping several chat tabs open, or a multi-model router that fans a prompt out for comparison. Those show you answers side by side; they don't anonymize authorship or force a critique pass. Council's selective deliberation and per-seat personas (Analyst, Practitioner, Skeptic) are what generate real disagreement instead of three paraphrases of the same take. In practice, the CLI is the sleeper. Piping a document in and getting JSON back lets you gate a CI job on divergence, which is a different use case from the app's research loop. Note the build is unsigned, so in-app updates prompt you to re-enter keys after a version bump. Pick it if you're on a Mac, already hold API keys, and want
Models under the hood
as of 2026-11-08
Limitations
- Council is a native macOS app distributed via GitHub with bring-your-own-keys across many LLM backends, so answers require your own provider credentials.
- The project is community-hosted (117 stars, 8 forks) rather than a packaged commercial product.
as of 2026-10-20
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Is Council still active?
Council is live · free · last verified 8 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is Council? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Council?
What people actually say about Council — is it worth it?
We scanned public community sources for Council on Oct 16, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 4 of the posts we fetched could be positively tied to Council. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about Council — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 8 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Council 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, summary, our verdict, features, description, pricing page
- — changed description, summary, who it suits, features, pricing tiers, our verdict
- — changed pricing page, limitations
- — changed who it suits, summary, features, pricing tiers, our verdict, description, who should skip it
- — changed limitations, models, pricing page
- — changed who should skip it, hidden costs, setup time, use cases, switching out, pricing tiers, pricing fit, models, our verdict, description, summary, features, switching in, who it suits, limitations
Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Council cost in 2026?
Council: Free to use. Pricing last verified 8 Nov 2026.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Council's pricing actually pencils out — and where peers do it cheaper.
At $0 under the MIT license with no account, Council is cheaper than any commercial multi-model comparison product — your effective bill is the token spend on the API keys you already hold. That makes it the low-cost option against subscription chat assistants that keep one model in the driver's seat, and roughly free next to per-seat team AI platforms. Where it stops being cheap is volume: three-seat rounds with debate, peer review and a chair synthesis multiply your provider spend, so heavy
Has Council's pricing changed?
No plan price for Council has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Council?
Pick Council if you are Analysts and researchers who want multiple AI models to cross-check each other before a high-stakes call, Mac users already holding several API keys who want structure around model comparison, Privacy-conscious professionals running local Ollama or self-hosted endpoints with no account, Developers gating CI on model divergence via the council CLI and JSON output.
Look elsewhere if you are Anyone wanting a single everyday AI assistant — three seats and a review round is overhead for routine questions, Windows, Linux or mobile users — Council is a native macOS app with no web version, Teams needing shared workspaces or collaborative review — journal and history are per machine, People expecting a correctness verdict — the divergence score measures agreement, not truth.
Skip it if Skip Council if you want one assistant to answer routine questions quickly, or if you're not on macOS — a three-seat blind-review council with your own API keys is deliberate overhead you won't use.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Council actually fits — and what changes day-one when you adopt it.
You need to state a contested claim in a client report. You open Council, connect Claude, GPT and Gemini keys, attach the two-page .md brief, and ask whether the claim holds. Answers stream in parallel; blind peer review critiques each without attribution; the divergence score shows two camps and names the outlier, which the Dissent view shows in full.
Outcome: You soften the claim and cite the dissent rather than the consensus, then log the decision in the journal and get a reminder to check in a month whether it held.
You pipe a spec document into the council CLI, which returns JSON and gates a build step on divergence between models. On a run where the models split widely, the step fails and you read the per-model critiques before merging.
Outcome: Wide disagreement becomes a visible build signal instead of a silent judgment call made by whoever read one model's answer.
You need a second opinion on a sensitive internal question. You keep no account, connect only a local Ollama seat and the on-device Apple Intelligence seat, and run the council without a cloud call. You also paste a ChatGPT answer you got on another machine into the guest seat for blind review.
Outcome: You get a blind-reviewed council of local models plus the outside answer, counted in divergence and synthesis, with the decision journal staying on your machine.
Use cases
- Ask the same hard question to Claude, GPT and Gemini, then read the blind critiques and the divergence score
- Check agreement across several models before repeating a factual claim in published work
- Catch model-specific bias by reading the dissent view instead of the averaged consensus
- Get genuinely different solution approaches to a coding problem, then let the council critique each
- Paste an existing ChatGPT answer into the guest seat to have it blind-reviewed by other models
- Log a high-stakes decision in the journal and revisit whether the consensus turned out right
- Pipe a document into the council CLI and fail a CI step when multi-model divergence is too wide
- Run a fully local council with Ollama or on-device Apple Intelligence seats and no cloud calls
Setup time & first value
How long it actually takes to get something useful out of Council — broken out by persona, not the marketing-page minute.
With one API key already in hand, a first three-seat council round is minutes away — plug in the key, ask a question, read the parallel panels. Apple Intelligence seats are near-instant on a supported Apple-silicon Mac running macOS 26. Ollama seats take longer because you need a local server running and a model pulled. Custom OpenAI-compatible endpoints (llama.cpp, LM Studio, vLLM) add the time
Switching to or from Council
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual multi-tab comparison: connect the same provider keys you already use, then replace five browser tabs with one prompt and a blind-review round
- →From a single chat assistant: keep that answer by pasting it into the guest seat, where it enters blind review as one anonymous advisor
- →From a hosted multi-model chat tool: connect the same backends directly and move history into the local decision journal
- ↗To a single chat assistant: use its app for routine questions and keep Council for the decisions that warrant a panel
- ↗To a hosted multi-model comparison product: replicate the panel yourself, but blind peer review, divergence scoring and the CLI gate are the parts you'd lose
Resources & guides
- Resourcegithub.com
README · Council
Helpful link from github.com
- Resourcegithub.com
FEATURES · Council
Helpful link from github.com
- Documentationgithub.com
Docs · Council
Full product docs from github.com
- Resourcegithub.com
DISTRIBUTION · Council
Helpful link from github.com
- Resourcegithub.com
COUNCIL TEST CHECKLIST · Council
Helpful link from github.com
Tutorials & Learning
YouTube returned 6 videos for “Council”, and we withheld 6: 6 could not be judged, because “Council” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Council.
Official links
What are the best Council alternatives?
The closest alternatives to Council we list are AI Chat, AI Playground and Mnemosphere. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| AI Chat | Freemium | Pricing not published | — |
| AI Playground | Freemium | Pricing not published | — |
| Mnemosphere | Paid | Pricing not published | — |
Alternatives to Council
View all
AI Chat
Chat with GPT-5, Claude, Gemini, DeepSeek and Grok from a single account and compare answers side by side.
AI Playground
AI Playground runs one prompt across up to 3 AI models side by side, with your own API keys and data kept local.
Mnemosphere
One prompt, many frontier models — a research workspace for comparing where AI answers agree and diverge.
Tools that pair well with Council
Common stack mates teams adopt alongside Council, with the specific reason each pairing earns its keep.
AI Chat
Chat with GPT-5, Claude, Gemini, DeepSeek and Grok from a single account and compare answers side by side.
AI Playground
AI Playground runs one prompt across up to 3 AI models side by side, with your own API keys and data kept local.
Mnemosphere
One prompt, many frontier models — a research workspace for comparing where AI answers agree and diverge.
Council vs its closest rival
Council's closest head-to-head is with Praktika — These aren't competitors — they're not even in the same category. Praktika sells spoken-language reps to a phone user on a small monthly budget; Council sells structured multi-model reasoning to a Mac user who already pays for API keys. If you want to stop freezing when you speak Spanish, buy Praktika. If you want to know whether three models actually agree before you trust an answer, install Council. Nobody should be shortlisting one against the other, so treat this as two separate buying decisions rather than a head-to-head. Verdict generated
Head-to-head comparisons
Council vs Praktika
These aren't competitors — they're not even in the same category. Praktika sells spoken-language reps to a phone user on a small monthly budget; Council sells structured multi-model reasoning to a Mac user who already pays for API keys. If you want to stop freezing when you speak Spanish, buy Praktika. If you want to know whether three models actually agree before you trust an answer, install Council. Nobody should be shortlisting one against the other, so treat this as two separate buying decisions rather than a head-to-head.
GeneratedCouncil vs Spider Cloud
These aren't competitors and you shouldn't treat them as such: Spider Cloud is infrastructure for getting live web content into your agent or retrieval pipeline, and Council is a desktop deliberation tool for stress-testing one question across several models. Buy Spider Cloud if your problem is that your agent can't see the current web — rendering, crawling, unblocking, and structured extraction behind one API key. Install Council if your problem is that a single model's answer is too easy to trust — and you're on macOS with API keys already in hand, since the app itself is free but the models aren't.
GeneratedCouncil vs Push Security
These aren't competitors, and a buyer shouldn't be choosing between them. Push Security buys a security team browser-layer defense against AiTM, ClickFix, device code and consent phishing — roughly $5/user/month, no endpoint agent or enterprise-browser migration, built for mid-market shops under 500 seats. Council is a free macOS app for one person who wants a panel of LLMs to answer, blind-critique each other, and return a divergence score. If your problem is phishing getting past email and SWG controls, Council can't help; if your problem is trusting a single model's reasoning, Push Security is irrelevant. Budget the ~$5/seat for the security team and install Council on your own Mac for free.
GeneratedFrequently asked questions
For makers of Council
- Get a Verified Listing for Council ($39): a written decision within 1 working day.
- Free listing for another tool: Free reviews are decided in order, within 3 weeks of the review starting.
Used Council? Help shape our editorial sentiment research.