AI Developer & Product Builder

Building systems for the
agentic era

I design modular, local-first AI tools at the intersection of human behavior, product strategy, and orchestration architecture. MBA + Computer Science background. Currently building in public.

Taylor Laporte headshot

The Bonsai Ecosystem

An AI operating system for agent-driven workflows

Alpha Live
Now Available

Bonsai Capture

AI tools generate incredible knowledge — and then immediately lose it. Bonsai Capture is a browser extension that turns your ChatGPT, Claude, Gemini, and Grok interactions into structured, locally-owned records.

Privacy policy: read the policy.

The Broader Architecture

Capture Live

Browser-based ingestion for LLM conversations.

CLI Building

Rust-powered programmatic orchestration engine.

WebUI Building

Visual branch management for conversation trees.

Hub Planned

Centralized knowledge and multi-agent routing.

The Lab

Side quests, experiments, and tools in various stages of life

Interrupting Cow

Building

A browser-side guardrail for agentic sessions: pause, annotate, and redirect live AI workflows when they drift or need intervention.

  • Realtime session observation and manual intervention.
  • Annotations that travel with the capture artifact.
  • Designed for high-risk or exploratory agent workflows.
Tooling Agent Control Session Safety

BuiltWhere

Building

A browser extension and analysis engine that reveals the technology behind any website — frameworks, analytics, CDNs, and cloud infrastructure — making data sovereignty and third-party exposure transparent at a glance.

  • Instant stack intelligence for product discovery and competitive research.
  • Surfaces analytics, hosting, APIs, and deployment patterns.
  • Exposes third-party data flows so you can see where user data actually goes.
Chrome Extension Data Sovereignty Stack Detection

Godric

Building

A continuous optimization engine for AI task execution — runs controlled experiments across strategy variants and applies winning configurations through automated policy gates.

  • A/B experimentation with multi-dimensional scoring (security, efficiency, latency, transparency).
  • Policy gate system that enforces safety bounds before strategy deployment.
  • Bonsai integration for cross-platform execution ingestion and optimization.
Optimization Experimentation Policy Gates

Loadout & Philosophy

Core Stack

Rust TypeScript React Python Tailwind PHP MySQL

Design Tenets

  • Local-first computing — edge execution, user-owned data, no cloud dependency by default
  • High inspectability — full provenance, structured exports, transparent orchestration
  • Modular architecture — pluggable agents, composable building blocks, no monoliths