The hiring network for AI-native work.
Fractional builders across engineering, product, operations, data, and growth — vetted on public proof of shipped AI work. Hire them to ship a build, change a process, install an agent-first workflow, or map where agentic capability would facilitate your work. One side hires. The other gets found. Both judge by the artifact.
Hire fractional AI-native talent
Engineers, product leaders, automation specialists, and operators who already work this way. Send a brief, get a proof-backed shortlist in days. Start scoped, expand on results.
Browse roles & request talent → ~/talentGet hired for what you've shipped
Submit your strongest AI-native work. We turn it into a public showcase and bring matched briefs directly to you. No bidding wars, no recruiter spam, never one of 200 applicants.
Join the network →The role spectrum
AI-native is not one job. Fractional seats across every function — pick the one you need filled, or send a brief and we'll match across the spectrum.
AI Engineers
Agent systems, LLM features, and production AI infrastructure.
6 in network view → ~/hire/ai-productAI Product Leaders
Product managers and founders who run AI-native product orgs.
2 in network view → ~/hire/ai-engineering-leadershipEngineering Leaders
Leaders who have rewired real engineering orgs around AI.
5 in network view → ~/hire/ai-ops-automationAutomation & Ops
Workflow automation across n8n, agents, and internal tooling.
4 in network view → ~/hire/ai-dataData & ML
Structured outputs, data pipelines, and eval-driven LLM systems.
3 in network view → ~/hire/ai-marketingMarketing & Content
Growth and content operators with AI-native production systems.
2 in network view →How matching works
Employers state the need
Five minutes. A build to ship, a process to change, a workflow to install, or a flow to map — plus constraints and timeline. Not a job description.
Talent shows shipped work
Builders are admitted on public artifacts — repos, production systems, measured outcomes. Reviewed by humans.
We pair by problem shape
Two or three names per brief, evidence attached, within days. If we don't have the right person, we say so.
Fractional, then expand
Scoped build, days-per-week retainer, or embedded sprint. Every engagement ends in something inspectable.
Builders in the network
26 AI-native builders and talent sources, each with a public profile linking to the work itself.
AI systems builder — game-AI, healthcare data infra, research automation
Engineering lead at Intercom — AI workflows for R&D throughput
Engineer at Stripe — Slack-to-PR AI agents
CEO at Gumroad — AI-accelerated product development
Technology executive, mentor, investor, and builder
Developer-experience leader — Sentry, MCP, and agent workflow systems
Startup builder and investor — gstack agent workflow tooling
Product leader — ChatPRD, LaunchDarkly, and AI product workflows
Founder and builder — personal AI systems and agent workflows
Anthropic engineer — Claude Code and AI-assisted engineering workflows
HumanLayer founder — team-scale Claude Code and context engineering
Instructor creator — structured outputs, evals, and production LLM workflows
Continuous Claude builder — long-running Claude Code PR loops
Async builder — AI coding, task planning, cloud execution, and review
OpenSwarm maintainer — multi-agent Claude Code orchestration
Athena Flow builder — structured workflows for AI coding agents
PlateSpinner maintainer — Kanban orchestration for AI coding agents
Plain-text AI workflow source — Markdown context systems
Claude Code Templates maintainer — agentic contribution review
Claude Code maintenance skill builder for vibe-coded projects
X workflow prospect — Claude Code n8n workflow builder
Docs-first workflow source — LangGraph stateful agent orchestration
Docs-first workflow source — event-driven agents over private data
Docs-first workflow source — crews, flows, and example automations
Docs-first workflow source — typed agents, structured outputs, and eval boundaries
Browser-agent infrastructure — Autobrowse skills graduated from real runs
The proof behind the network
Public showcases are how builders get vetted in — and how the network gets discovered. Browse them to calibrate what AI-native work actually looks like before you write a brief.
Intercom AI Workflows — Doubling R&D Throughput
Four Claude Code workflows that doubled R&D throughput.
AI Minions — Slack-to-PR at Stripe
Slack emoji to PR pipeline shipping about 1,300 PRs weekly.
Gumroad's v0 + Devin + Cursor Stack
v0, Devin, and Cursor chained into a tiny-team product line.
Send your agent
Every action on this site — search talent, request a shortlist, apply with proof, poll review status — works over MCP and plain JSON. If your agent does your sourcing or your job hunt, it's a first-class user here.
Both sides start the same way.
Employers send a brief. Talent sends proof. Humans review both, and matching runs on evidence — not keywords. Bring your agent or come yourself; the bar is the same.