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Preston2012/README.md

Preston Winters

I build AI products. Full-stack. Solo.


Now

Demiurge — Adaptive memory for AI agents. Quality-gated, refusal-first. 5-layer pipeline: capture, store, retrieve, inject, learn. Trust branching rejects bad data before it enters the system. TypeScript, SQLite, ONNX embeddings. Ships as MCP server + REST API on a $6/mo ARM VPS.

Baseline — Political intelligence platform. Tracks 106+ public figures across 4 AI providers. Consensus scoring detects bias no single model catches. 28 Flutter screens, 22 Supabase Edge Functions, 5,400+ analyzed statements.

Methodology

AI Council — Multi-model orchestration methodology developed across 500+ build sessions. Run the same task across Claude, GPT, Gemini, Grok. Synthesize the best. 390+ documented quality rules. Used across every project listed here.

Stack

TypeScript, Dart/Flutter, Python, Supabase/PostgreSQL, SQLite, ONNX Runtime. Claude, GPT, Gemini, Grok APIs.

Links

baseline.marketing · preston@baseline.marketing · LinkedIn

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  1. demiurge demiurge Public

    Adaptive memory for AI agents. Quality-gated, refusal-first, cross-model. Shapes chaos into memory.

    TypeScript 1

  2. ai-council ai-council Public

    Multi-model AI orchestration methodology. 500+ build sessions, 390+ documented rules. Run Claude, GPT, Gemini, Grok in parallel. Synthesize the best.

  3. baseline-showcase baseline-showcase Public

    Political intelligence platform. 106 tracked figures, 4 AI providers, consensus scoring. Architecture, system design, and production code.

    Dart 1

  4. trading-toolkit trading-toolkit Public

    Python automation for long-running agents, service orchestration, real-time scanners, and alert pipelines. Dual adaptive optimization engines.

    Python