CONSILENS

A second opinion for your coding agent

Stop betting the branch on one model's answer.

Your agent stalls, hides uncertainty behind confidence, or talks you into a risky diff. Consilens puts several frontier models on the same context — independently — surfaces where they disagree, and returns one clear path. Competitive collaboration: the collective is sharper than any single model, and the dissent stays visible, not smoothed over.

Connect GitHubWatch a council runRead-only to start · 10 councils free · no card
Council run · example91% confidence

“Is this migration safe to ship?” — 3 models, same diff, reviewed independently.

CClaude

Ship it

“Backwards-compatible; tests pass.”

GChatGPT

Hold

“Drops the index — lock risk under load.”

Synthesis

Ship after recreating the index concurrently — two models missed the lock; one caught it.

Dissent retained: 1 model would have merged as-is.

How it works

How a council runs

01

Convene

Open a council on a question or a diff.

02

Review independently

Several frontier models examine the same context on their own — no groupthink.

03

Synthesize

One path forward, the retained dissent, and a confidence read you can see the reasons for.

04

You decide

You make the call. Consilens never accepts the decision for you.

On-demand escalation, not an always-on bot. Default: customer-owned artifacts, metadata-only history.

Why builders convene a council

One answer hides the disagreement. We show it.

Get unstuck

Escalate on demand when your agent is spinning — before it burns another hour going in circles.

Catch the bad diff

Independent review challenges a weak implementation while it's still small enough to throw away.

Decide with confidence

One recommended move, the disagreement kept visible, a calibrated confidence — never one model's bravado.

You own the call

Consilens returns a path; it never merges or decides for you. On-demand escalation, not an always-on bot.

Why multiple perspectives

One confident answer is the most dangerous kind.

A single model smooths over its own doubt. Put independent frontier models on the same context and the disagreement surfaces — and disagreement is usually where the risk, and the right answer, are hiding. This is competitive collaboration: models pressure-tested against each other reach a more accurate result than any one of them working alone.

The thesis

The collective is sharper than any single model.

Frontier models are getting more capable and less accountable. Consilens puts several of them in competitive collaboration on the same context — answering independently, then pressure-testing each other — so the collective lands on a more accurate answer than any one of them would, and shows you where they agree and where they don't instead of hiding it behind one confident voice.

No fake logos here

We'd rather show you than quote ourselves.

Consilens is early. Instead of a wall of borrowed logos, here's exactly how it works and what it does with your code — watch a council disagree and decide for yourself.

The lineup

GPT, Claude, Gemini, and Grok — answering the same context independently. You choose who sits on the council.

Your code stays yours

Customer-owned artifacts, metadata-only history by default. On-demand, not an always-on bot watching your repo.

You set the spend

Bring your own keys and a spend cap. One pass by default — you pay model rates only when you convene a council.

Early access — be one of the first to put your agent's work in front of a council.

Get a second opinion before you ship.

Connect your repo and convene a council on your next risky diff. You set the lineup and the spend cap; you keep the decision.

Start with GitHub

FAQ

The questions a skeptic asks

Why not just ask one model again?

A single answer hides its own doubt. Consilens puts several frontier models on the same context independently and shows you where they diverge — which is usually where the risk is.

Isn't running several models slow and expensive?

One review pass by default, on demand — not an always-on bot. You bring your own keys and set a spend cap, so you pay model rates only when you convene a council.

Do you store my code?

Default is customer-owned artifacts and metadata-only history. The decision record is auditable; your repository contents stay yours.

Does it decide for me?

No. Consilens returns a recommendation with the dissent intact. You make the call — it never merges or acts on your repo for you.

Field notes

Keeping models honest.

Occasional, technical, no fluff — what we learn from where frontier models disagree.

Consilens — A second opinion for your coding agent