JL

Jason Lovell

Full-stack AI practitioner — from ideation to production. I bridge the gap between technical depth and business value, helping teams ship AI that actually works.

Open Source

Projects

From agent orchestration to observability tooling — building at the intersection of AI capability and production readiness.

TypeScript

Agent Director

Cinematic, chat-native trace debugger for AI agents with playback, replay, and diff.

TypeScript
1

ABCP

Standards-first control plane that observes, explains, and governs agentic browser actions across Gemini, AWS Bedrock AgentCore, and ChatGPT Atlas.

Python

OverhearOps

Demo-ready agentic system that overhears Teams conversations, detects actionable threads, and drafts remediation artefacts with full observability and replay.

Python

TerraRisk Agent

Geospatial AI governance research — orchestrating FEMA NRI, BigQuery Earth Engine, and satellite imagery with auditable, policy-enforced outputs.

Python
3

VoiceForge AI

Intelligent emotion detection for TTS — Mistral 7B analyzes context and sarcasm to generate emotionally aware speech synthesis.

TypeScript

Sentinel MCP

Governing Model-Context Protocol servers and agent skills with policies, budgets, and verifiable provenance.

TypeScript

Agent HQ Guard

GitHub App and Action that enforces policy, provenance, and budget controls across every autonomous agent run. CI/CD guards for the AI era.

Python

SkillScope

Observability for Anthropic Skills — see which skill was intended, files referenced, policy approval, and token/latency shifts.

Python

AgentGate

Independent R&D project for AI agent containment — exploring boundaries and safety mechanisms for autonomous systems.

Standards & Research

Publications

Contributing to the foundations of trustworthy AI — standards, RFCs, and research that shape how agents operate safely at scale.

Standard2025

TBOM: Tool Bill of Materials

A provenance and integrity standard for the MCP ecosystem. Cryptographically signed manifests that bind MCP server releases to immutable tool metadata, enabling automated trust verification.

Coming Soon

SBA: Skill-Based Agents

Exploring compositional agent architectures through modular skill frameworks. Standards for skill discovery, invocation, and governance.

Coming Soon

TSA: Trust Surface Attestation

Defining verifiable trust boundaries for autonomous agent actions. Cryptographic attestation of agent decision surfaces and scope constraints.

Texas

About

I operate across the full AI lifecycle — from early-stage ideation through to production systems. My strength is connecting technical possibilities with real business outcomes.

Whether it's architecting agent systems, building MVPs, or helping teams understand what's actually possible with AI today, I bring both the technical depth to build and the commercial awareness to ship things that matter.

Focus Areas

AI StrategyAgent SystemsProduct DevelopmentTechnical ArchitectureGo-to-MarketTeam Enablement

Get in Touch

Building something with AI? Need help bridging strategy and execution? I'd love to hear from you.

Jason Lovell © 2026