Founder · Product Engineer · Researcher · Inventor
Tyler Martin
Pro-human. Pro-AI. Anti-extraction.
I build AI-native products and infrastructure that compound human creativity and judgment: agents, content protection, secure document review, and developer tools with accountable human-agent collaboration built in. Founded Lobster Labs, an agent-native software studio. Inventor with twelve USPTO filings.
My thesis: AI should compound human capital, not extract from it. That means provenance, permission, royalty rails, and reviewable agent systems — products that move value back toward creators, professionals, and independent builders.
The strategy is to connect dots across domains, then ship tools that fix broken incentives and open new markets.
Recent Projects
Shipped
Envelope
The ultimate email CLI for agents: transactional infrastructure, fully compatible with humans.
Agents send through CLI, REST, and MCP; people approve, reply, and audit through ordinary email. Envelope turns email primitives into reviewable records and clear accountability boundaries.
Share confidential documents without losing the keys.
AI-native document review via time-limited access tokens. Share confidential docs with AI reviewers without permanent exposure.
Find the dead weight in your cargo hold.
Personalized, reversible disk-cleanup CLI for macOS. 85+ declarative YAML rules. Drivable by humans and agents. Signed, notarized universal binary.
Non-confidential fit briefs for protected inventions.
Structured disclosure format that surfaces the market relevance of a patent-pending invention without revealing confidential details — designed for early conversations with partners, customers, and investors.
Tools for high-agency founders.
Teleprompter purpose-built for 60-second pitch videos. Practice, refine, and ship the pitch that opens doors — no camera crew required.
Recent Publications
Research
The CMI Trap
Compound Statutory Liability for Inference-Time AI Retrieval
Reviewed by Prof. Xiyin Tang (Stanford Law)
Inference-time piracy is not training. Different legal exposure, different liability architecture. DMCA §1201/§1202 compound liability for AI systems that strip or ignore content management information at retrieval time.
Also Directed-exhaust p-11B fusion propulsion — a phase-space argument on collimating nonthermal fusion products
IP
Problem Domains Under Filing
Each filing answers one of these problems. The public version names the problem space and accountable outcome, not the protected mechanism.
Operating Stack
From Assistant Workflow to Agent Runtime
Built on existing model interfaces and third-party tools, this thread shows the operating layer I designed around them: workflow routing, review boundaries, memory, and human approval.
Dr. Forth
2024 – 2025A Claude-based personal operating workflow for inbox triage, scheduling, and daily planning. The experiment was not "a better chatbot"; it was learning which parts of a founder's day could be drafted, queued, checked, and handed back for decision.
Skippy
2026 – PresentThe current private agent layer I use across active projects. It connects model calls to real tools—GitHub, Railway, email, document review, Telegram—with explicit routes for drafting, approval, and audit. The work is the integration layer: permissions, handoffs, memory, and operating discipline.
The throughline is accountability. Every step moved more work into AI-assisted systems only where the action could stay bounded, inspectable, and reversible.
Systems
Ecosystems
Aposema
7 reposAI content protection and accountability infrastructure for publishers and agentic systems.
Envelope
2 reposAgent accountability infrastructure — governance through auditability, boundaries, and reviewable records.
Redline
1 repoAI-native document review — share confidential docs with AI reviewers via time-limited access tokens.
MCP Licensed Servers
5 reposAI tool wrappers that natively respect creator rights
Stack
What I build with
TypeScript, Rust, and Python lead — across 50+ public and private repositories, from CLIs and agent infrastructure to web apps.
Code
Repos curated
Personalized, reversible disk-cleanup CLI for macOS. 85+ declarative YAML rules. Drivable by humans and agents. Signed, notarized universal binary.
View →Trust router for autonomous agents — hardens tool use against sloppy, over-eager, manipulative, or malevolent AI activity. Open source.
View →Agent accountability infrastructure built on email primitives — governance through auditability, boundaries, and reviewable records.
View →AI-native document review via time-limited access tokens. Share confidential docs with AI reviewers without permanent exposure.
View →Non-confidential fit briefs for protected inventions. Structured disclosure format that surfaces market relevance without revealing confidential IP.
View →Tools for high-agency founders. Teleprompter purpose-built for 60-second pitch videos — practice, refine, ship.
View →Selected history
Milestone timeline
Lobster Labs
Founder / Builder / InventorAgent-native software studio building AI-native products and infrastructure: agent governance, accountable tool-use systems, email-as-infrastructure, secure review workflows, and developer tooling. Public IP posture: twelve USPTO filings across protected problem domains; filed applications, not granted patents.
Expatriator.com
FounderRelocation and immigration product work rooted in the long-running SpainExpat audience: matching expats with vetted lawyers, service providers, and practical admin paths.
Actigram Labs / MCS
ProductDigital health and behavior-change products, including MCS work that continued through 2023 around clinical-trial and patient-support programs.
Turf.ly
FounderLocation-based social fitness game that turned walking into a team sport.
Curelator
Head of ProductPersonalized medicine startup; led product for migraine tracking and trigger-analysis workflows.
SpainExpat.com
Founder & EditorIndependent resource for expats in Spain and the original long-running audience behind later relocation/admin products.