Skip to content

GLINCKER

LLMs give one answer, one angle, zero pushback.

Core trick

Tracks each claim as standing, challenged, rebutted, or conceded in a graph, and routes each step to a model tier by cost.

Tags

Description

LLMs give one answer, one angle, zero pushback. Verdict spawns 3 to 5 AI agents who research, argue, and cross examine each other's claims. Every claim is tracked in an argument graph: standing, challenged, rebutted, or conceded. Opus 4.6 synthesizes a structured verdict with an emergent decision matrix where criteria come from the debate itself. Three novel algorithms: argument graph for claim lifecycle, protocol engine forcing direct engagement, and emergent decision matrix. Smart routing keeps costs under $0.72: Opus for synthesis, Sonnet for debate, Haiku for classification. A doctor tested it with a real medical question and got structured debate in 5 minutes where ChatGPT failed after 15 prompts. Ships as web app, npm SDK, CLI, and MCP server. Built solo in 6 days. Live at verdict.glinr.com, full cloud version launching soon.
thegdsks/verdict-engine-hackathon★ 20 forksCreated Feb 19, 2026 · last push Feb 19, 2026

README excerpt

# Verdict — Multi-Agent Debate Engine

> AI agents that research, argue, cross-examine, and deliver structured verdicts.

**Coming soon at [askverdict.ai](https://askverdict.ai)**

## What is Verdict?

Verdict transforms decision-making by running structured adversarial analysis. Submit any question and Verdict spawns AI agents with distinct personas who research both sides, argue with evidence, cross-examine each other's claims, and synthesize a structured verdict.

No more rephrasing prompts 15 times hoping for a better answer. Get every perspective in one structured debate.

## What's Coming

- **Web App** — Live debate streaming with real-time agent activity at askverdict.ai
- **SDK** — `@verdict/engine` npm package for programmatic access
- **CLI** — `verdict "Should we use Postgres or MongoDB?" --mode fast`
- **MCP Server** — Use Verdict directly inside Claude Code and Claude Desktop

## How It Works

1. You ask a question
2. Verdict spawns 3-5 AI agents with distinct personas
3. Agents research, present opening arguments, and cross-examine each other
4. Every claim is tracked in an argument graph (standing, challenged, rebutted, conceded)
5. A synthesizer weighs all evidence into a structured verdict with an emergent decision matrix

## Built With

TypeScript · Anthropic Claude (Opus / Sonnet / Haiku) · Next.js · SSE Streaming

## Origin

Built as a solo project for the Anthropic Opus 4.6 Hackathon (Feb 2026). Now evolving into a full product.

## Contact

Follow devel

Team