pulldown
HTTP-first web content for LLM pipelines
Fetches URLs and converts them to clean, level-controlled Markdown. Four detail levels, batch API, bounded crawl, validator caching, and SSRF guard.
Staff AI Platform Engineer | LLM Infrastructure & Reliability | Agent Systems & Safety
20 years building production systems across fintech, security, and identity. Now applying that same discipline to LLM infrastructure, agent orchestration, and AI safety—treating oversight as a systems engineering problem, not a policy exercise.
Making Minds is my AI research lab and consultancy—delivering production tooling, open-source models, and peer-reviewed research to clients ranging from early-stage startups to mid-sized industrial organizations.
Agentic AI architectures · Multi-agent coordination · AI coherence & memory · Epistemic stress detection
Production tools and models—shipped, installable, used.
HTTP-first web content for LLM pipelines
Fetches URLs and converts them to clean, level-controlled Markdown. Four detail levels, batch API, bounded crawl, validator caching, and SSRF guard.
Map the repo before you burn context
CLI-first repo analysis. Rank files, trace dependency hubs, pull task-scoped context, and hand structured artifacts to Claude Code, OpenClaw, or any agent.
Long-form analysis, technical walkthroughs, and opinion across Substack, Medium, and Hugging Face.
The velocity trap and the practices that survive it
Announcing mnemos: biomimetic memory for agents
Weekly roundup of developments that matter if you build, deploy, or think critically about AI systems.