Tag
#ai
4 articles
Meta-Evolution: When AI Evolves AI
Exploring meta-evolution in Prismatic: how the platform's evolution system evolves itself, the role of genetic algorithms in quality improvement, and the philosophical implications of self-improving systems.
MCP Integration: Connecting AI to Real-World Tools
How Prismatic implements the Model Context Protocol to expose OSINT adapters, DD pipelines, and platform capabilities as tools that AI assistants can invoke directly.
1,110 Agent Definitions (~70 runtime): Building an AI Workforce
Inside Prismatic's agent ecosystem: 552 specialized agents covering OSINT, security, development, evolution, and operations. How they register, coordinate, and evolve.
Due Diligence Automation: From Manual Investigation to AI Pipeline
Traditional due diligence involves weeks of manual research across disparate sources. The Prismatic DD pipeline automates this with a two-phase Client/Loader architecture, entity schemas, scoring engines, and hypothesis testing for structured recommendations.