BrennerBot

Multi-Agent Orchestration

Your Research Team: AI Agents That Debate, Challenge, and Synthesize

Each agent has a precise mandate. Together they sharpen hypotheses, design lethal tests, and merge evidence into auditable artifacts - without surrendering control.

"What if you could have Claude, GPT, and Gemini debate your hypothesis - challenging each other until only the strongest ideas survive?"

# Start a debate session
brenner session start --thread-id RS-20260105 \
  --format oxford \
  --question "Does the morphogen gradient model explain cell fate?"

# Watch agents debate in real-time
brenner session status --thread-id RS-20260105 --watch

# See the merged artifact
brenner session compile --thread-id RS-20260105

Research Hygiene

Built-In Guardrails for Rigorous Science

The system blocks common failure modes: hindsight bias, unfalsifiable hypotheses, ignored confounds, and overconfidence. Rigor is enforced before you waste a week.

Discovery & Intelligence

Intelligence Built In: Search, Simulate, Score

Connect to prior work instantly, model evidence impact before you test, and track which hypotheses survive pressure. This is research intelligence, not a chat log.

Deep Dive

The Operator Algebra: Brenner's Methods as Executable Code

Sydney Brenner's breakthrough wasn't just his discoveries - it was his method. We've encoded his cognitive patterns as composable operators that you can apply systematically.

The Brenner Method in 4 Steps

Want the precise notation? See the operators below.

import { pipe } from "@/lib/brenner-loop/operators/framework";

const brennerPipeline = pipe(
  levelSplit,        // Separate levels
  invariantExtract,  // Find what survives
  exclusionTest,     // Design killing experiments
  materialize,       // Compile to decision procedure
);

const result = brennerPipeline(hypothesis, context);