things i'm building

Workflow-aware internal agent with source grounding, confidence surfacing, and graceful failure

Designed and built an internal retrieval agent for real-time enterprise knowledge access. Focus is the layer between technical capability and real-world clinical use: when to answer, when to show evidence, when to expose uncertainty, when to stop and escalate.

Reusable Python infrastructure for the layer between model and system

Nine Python modules covering orchestration, retries, caching, observability, provider abstraction, rate limiting, and graceful degradation. Available on Gumroad.

Open technical work on AI routing, governance, and arbitration

Open standard exploring how autonomous agents route requests, arbitrate across providers, and surface governance constraints in a tool ecosystem.

Browser-native Linux playground for agent and tooling experiments

Exploratory browser-hosted Linux environment for hands-on agent and tooling experiments. Public repo.

Rust agent harness with consequence-typed dispatch and event-sourced state

Agent runtime in Rust focused on safety primitives — consequence-typed dispatch, replayable receipts, tamper-evident event log. Research project.

Rust event-sourced kernel for autonomous agents

Kernel-level harness for autonomous agents: trust domains, hash-chained event log, multi-provider model adapters, CLI. Research project.

Local AI assistant focused on honesty-first design

Local assistant designed around honesty primitives rather than post-hoc alignment. Research project.

Phase-induction attention for transformers

Drop-in attention module with per-head RoPE phase bias ("vortex") and a banded, content-aware induction bias. Compatible with PyTorch SDPA/Flash with no custom kernels. Research.

Pluggable long-term memory for standard transformers

Memory module that enables persistent context retention through topic-routed coil lanes and induction-triggered summary storage. Research.

Multi-agent neuromorphic transformer in pure Rust

Pure-Rust AI reasoning system on the Burn framework. Multi-task transformer with seven specialized neural modules, shared differentiable memory, and an adaptive-depth thinking engine. Research.