LLM Team

Mode: Brainstorm

Mode

BrainstormAll + synthesize

PipelineChain sequence

DebateArgue + judge

ValidatorFact-check

Round RobinIterate improve

Red TeamAttack + defend

ConsensusConverge

Code ReviewWrite+review+test

ELI Ladder5 levels

TournamentCompete + vote

EvolutionGenetic algo

Blind AssemblySplit + merge

StaircaseAdd constraints

Drift DetectConfidence map

PerspectiveStakeholder 360

Hallucinate?Claim verify

Time LoopCatastrophe fix!

Autonomous Pipelines

ResearchAuto brief

Model EvalBenchmark

Auto-RefineAI pipeline

KnowledgeExtract facts

AdaptiveSelf-eval + RAG

All models answer in parallel, then one synthesizes the best parts into a final answer.

Models

Synthesizer

Pipeline Steps

Setup

Debater 1

Debater 2

Judge

Rounds

Setup

Answerer

Validators

Models

Cycles

Setup

Author

Attacker

Patcher

Rounds

Models

Max Rounds

Setup

Coder

Reviewer

Tester

Models (rotated across 5 levels)

Competitors

Judge

Gene Pool (models)

Generations

Fitness Judge

Workers (each gets a sub-task)

Assembler

Setup

Answerer

Challenger

Steps

Setup

Target Model

Samples

Analyzer

Models (rotated across perspectives)

Synthesizer

Setup

Answerer

Hunters

Setup

Answerer

Chaos Agent

Loops

Research Pipeline

Scout

Researchers

Fact-checker

Synthesizer

Questions

Model Evaluation

Judge

Eval Type

Rounds

Knowledge Extraction

Extractor

Verifier

Source

Auto-Refine Pipeline

Orchestrator

Max Stages

AI analyzes your content, picks the best refinement stages, and runs them in sequence. Paste a finished draft above.

Models (ordered weakest → strongest for escalation)

Synthesizer / Judge

Confidence Threshold

Models self-evaluate confidence. Below threshold → retrieves context from knowledge base → escalates to next model. Order models from weakest to strongest. Successful responses are stored for future RAG retrieval.

Prompt

chars 0

words 0

lines 0

est. tokens 0

Output

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Select a mode, pick your models, and enter a prompt to run the team.

Mode

Models

Pipeline Steps

Setup

Setup

Validators

Models

Setup

Models

Setup

Models (rotated across 5 levels)

Competitors

Gene Pool (models)

Workers (each gets a sub-task)

Setup

Setup

Models (rotated across perspectives)

Setup

Hunters

Setup

Research Pipeline

Model Evaluation

Knowledge Extraction

Auto-Refine Pipeline

Models (ordered weakest → strongest for escalation)

Prompt

Output

Response

History