AI & Autonomous Agents
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Source-Backed Memory for AI Coding Agents
JEV Context Fabric keeps exact, hashed source text as coding-agent memory and marks retrieved excerpts as untrusted and possibly stale.
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Finding Where AI Decisions Actually Improve Existing Software
An offline evaluator that finds judgment calls in code, gates every change behind approval, and runs studies allowed to say no. Five of six did.
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Pruning Repeated File Reads From Coding-Agent Context
An experimental kit that drops exact repeated file reads from coding-agent requests, leaving a verified marker and the original transcript intact.
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Designing Deterministic AI Moderation for Discord
How TypeCheck keeps a probabilistic model out of Discord moderation decisions: typed answers, pinned versions, one policy engine, and human review.
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Building an AI-Accessible CRM Without Unrestricted Agent Access
How I gave an OpenClaw agent typed, allowlisted access to Mautic CRM, and which limits are enforced in code versus left to configuration.
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TicketStub: Building an AI-Powered Personalized Print Platform
How our neatHack 2026 team turned an event link into an AI-illustrated keepsake stub, and which parts work versus remain a prototype.
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From Email to Contract to Invoice: Building Governed AI Business Workflows
Four agent skills that draft emails, contracts and invoices from shared state, with approval gates, TBD markers, and a run on fictional data.
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How to Track and Audit the Real Cost of AI Agents
Turning AI coding-agent logs into a de-duplicated, estimated, account-attributed cost ledger that keeps observed, estimated and unknown apart.
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Building Auditable Agents With Typed AI Decisions
Structuring AI agent judgments as typed decisions with strict validation, policy in code, and hash-chained receipts you can replay.