Autonomous Agent Fleet

A governed swarm of AI daemons — research, code review, monitoring, self-healing — running a 30-minute cognitive loop on a local-first model stack, under a hard spend gate with metacognition to stop it spinning.

• Multi-agent
• Local-first inference
• Self-healing
• Metacognition

Status: Running

DCYFR AI

The portable TypeScript runtime my agents think in — model routing across local and frontier tiers, tool-use, and MCP wiring you drop into any project.

• Agent runtime
• Tool-use
• MCP
• TypeScript

Status: Open

Agent Governance & Safety

The rails that let agents take real actions without going off the rails — sandboxes, kill-switches, per-process credential isolation, and enforced spend limits. Autonomy you can trust.

• AI safety
• Sandboxing
• Kill-switches

Status: Live

SharkVault

Proof the fleet ships real product: a backer-funded consumer app taken end-to-end — auth, payments, content pipeline — largely by agents.

• Autonomous delivery
• Product
• Next.js

Status: Live

Ventures

DCYFR Labs

An AI-native studio building agentic infrastructure and security-first autonomy. Think freely, build securely, ship boldly.

• Agentic infra
• AI safety
• Autonomy

GameShark Labs

Putting frontier AI in front of players — generative tooling and agent-built products, shipped for real audiences.

• Applied AI
• Gaming
• Product

Writing & garden

Essays when they're finished; a digital garden of evergreen notes while they're still growing.

• Running a 30-agent autonomous fleet on a $100/mo budget (Essay · dev.to)
• Giving agents a conscience: metacognition & circuit-breakers (Essay · dev.to)
• Local-first inference: shipping without the token bill (Note · garden)
• The garden — evergreen notes, always growing (Index)

Current focus

Teaching the fleet to plan. Multi-step missions the agents decompose, execute, and grade themselves — with me out of the loop.

Raising the trust ceiling. Hardening the safety model so agents can take higher-stakes actions without a human gate on every step.