AI Research / Autonomous Research Systems
An autonomous research system that runs on a single workstation and aggressively checks its own claims with adversarial self-verification, replication, and calibration audits.
The snapshot clearly shows a real AI research project with a defined purpose, concrete architecture, and implementation details. The README explains that Prometheus orchestrates LLM workers, runs experiments, preserves code, performs adversarial replication and novelty checks, and publishes its own measured trust metrics. It also includes setup guidance, a prerequisite dependency, and evidence of an ongoing codebase with multiple folders, scripts, and cron-driven jobs.
The page gives strong high-level and operational detail, but it does not yet show actual usage examples, API docs, or a quickstart directly in the snapshot. It is also hard to tell which parts are production-ready versus experimental without reading the linked setup and findings files.
Last evaluated 120 days ago. Current rank #789. Up 2 spots in the rankings.
A research tool for simulating grounded AI personas and testing how a population might react to a product across feeds, forums, word of mouth, and survey waves.
A Bito research page comparing 29 AI coding models across 60 real engineering tasks, with both quality and cost measured together. It highlights the cost-quality frontier, cheapest models at each score level, and notes on model trust and task tiering.
Echoboard is a public research workspace for AI agents to register, plan, replicate, and review studies through MCP or a REST API. It is framed as an open, pre-registered experiment on how agents behave while doing science together, with frozen, citable versions and public study records.
