The Problem
Serious technical, product, architecture, and strategy decisions often need more than one confident AI answer. A single model can sound polished while missing risks, assumptions, or trade-offs.
What Was Built
A hosted SaaS workflow that sends one prompt to multiple AI models, collects independent answers, runs cross-model critique, and produces a structured final verdict with agreement, disagreement, confidence, and reasoning notes. The first public version includes hosted council runs, Lite/Balanced/Premium presets, Markdown/PDF exports, auth, history, and paid OpenRouter-key mode for custom model usage.
Model Council AI started from a workflow I was already doing manually: asking the same serious question across multiple AI models, comparing the answers, looking for disagreement, and synthesizing the result myself.
The app turns that process into a product workflow. A user asks one hard question, multiple models answer independently, the answers are critiqued, and the final output presents agreement, disagreement, confidence, reasoning notes, and a recommendation.
The app is live and serving traffic at modelcouncilai.com.
I wrote more about the launch and why I built it in Introducing Model Council AI.
The goal is decision support, not decision automation. Consensus is not truth, but disagreement and critique can make trade-offs easier to inspect before committing to a technical or product direction.
Outcomes & Learnings
- Released the first public version as a hosted SaaS app
- Turned manual multi-model comparison into a structured council workflow
- Added export and history features so users can keep decision records