I build AI systems that do marketing. Not AI tools that assist with it.
Solo marketer at LayerLens, where I run content, social, SEO, AEO, influencer, and brand for an AI evaluation infrastructure company. I built an AI operating system that handles the workload of 4-5 people while I focus on strategy.
JakeOS : An AI-augmented operating system for solo marketing. 11 autonomous agents, 16 custom skills, persistent memory across 50+ files, self-correcting feedback loops. It plans my week, drafts my content, scans competitors, tracks experiments, and reviews its own performance.
AI Marketing Skills : Open-source skill library for AI agents. 16 production-tested skills covering content creation, competitive intel, SEO, performance analytics, and more. Battle-tested across 500+ content cycles.
DevPulse : Developer community research tool. Searches Reddit, Hacker News, and GitHub Discussions for real developer sentiment on any topic.
Buffer MCP : MCP server for Buffer's GraphQL API. Schedule, manage, and batch social media posts from any AI agent.
Awesome LLM Evaluation : Curated list of LLM evaluation tools, benchmarks, frameworks, and research.
Judgment Engineering : A framework for AI evaluation that generates, judges, and learns. The methodology behind LayerLens.
Orchestration Claude (Anthropic Cowork + Claude Code)
Languages Python, TypeScript
Integrations Slack, Notion, Google Calendar, Ahrefs, Pipedrive, GA4, Buffer, Twitter API
MCP Servers Buffer (custom), Fireflies (custom), Pipedrive
Evaluation Stratix (200+ models, 6 benchmarks)
| Metric | Value |
|---|---|
| Autonomous agents | 11 (daily, weekly, monthly cadences) |
| Custom AI skills | 16 (content, analytics, competitive intel, SEO) |
| Memory files | 50+ across 8 categories |
| Cost reduction | 91% on Story Scout agent ($110/day to <$10/week) |
| Content cycles | 500+ posts drafted, reviewed, and published through the system |
