Agentic Systems & Memory
Your company forgets everything it learns. So does your AI.
Off-the-shelf AI treats every prompt as a first date. I build systems that remember: longitudinal memory across projects, research agents that argue until the answer is solid, and orchestrators that route work to the right tool. The capability is memory; the business result is a team that stops re-explaining the same context every week.
What Usually Looks Normal Until I Point At It
Every ChatGPT thread starts from zero knowledge of your company
Research assistants accept weak answers because they cannot argue with themselves
Agent work is opaque — you cannot audit why a decision was made
Multi-agent demos look smart but never reach production
How I Build It
Start with memory: index what your organization actually knows and asks
Add adversarial critique so agents attack weak claims before you see them
Route tasks to the right model family for the job
Deploy local-first with audit trails, not black-box chains
Outcomes
Longitudinal semantic memory across sessions
Cross-family adversarial research that beats single-model critique
Technology Stack
Capabilities
Longitudinal Semantic Memory
A local-first semantic memory system indexing longitudinal sessions. Query by project, date, source, or mechanism — not just keyword match.
How It Works
- Process conversations and documents so the AI actually understands the meaning
- Save everything locally and search it in a way that surfaces the most useful details first
Outcomes
- Sub-second recall across 18+ months of work
- Cross-project pattern discovery
Adversarial Deep Research
Most AI stops checking its work. I make separate research passes attack the evidence, contradictions, and missing synthesis before you ever see the report.
How It Works
- Writer model drafts the report with predicted source claims
- Cross-family critic attacks evidence, contradictions, and missing synthesis
Outcomes
- 100+ inline citations on a head-to-head where the incumbent tool produced 43. 10+ primary sources — SEC filings, Senate records, government documents — where the incumbent surfaced zero.
The research is public.
Benchmarks run on machines I own, measured against frontier systems — with the failed approaches reported next to the results. Read it before you take my word for anything.