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Proof of Human: I Built a Reverse Turing Test After Getting Flagged as AI June...
I build AI agents and SEO automation tools that actually work — no hype, no fragile demos. Python, Playwright, Claude, Cloudflare.
"I did everything the AI era asked. Learned the frameworks, built the projects, wrote the threads. It still didn't pay my bills. So I stopped chasing hype and started shipping tools that actually solve problems."
Production-grade agents that browse, process data, write and audit content, and integrate with your tools. Built to run unsupervised, with resumable pipelines so nothing is lost on failure.
Real-browser SEO audits, Google Search Console analysis, backlink qualification, and content gap tools. I run actual Playwright browsers — so the output matches what Google actually sees.
Workers, Pages, D1, KV, Vectorize, and edge deployments. Fast, globally distributed, and cheap to run. My default infrastructure stack for a reason.
Edge-native MCP servers built on Cloudflare Workers — hybrid vector search, cross-encoder reranking, and LLM reflection layers. No external infrastructure. Live example: 100k+ documents at $5/month.
Scientific computing (scipy, matplotlib, pandas), AI agents, browser automation, and serverless APIs. Remote. Production code with published writeups for every project.
White-label automations, Claude workflow consulting, and production pipelines for teams that want to add AI capabilities without building from scratch. I bring the architecture, you keep the client.
Not sure which fits? Email me to scope it — I'll tell you honestly if I can help and what it would take.
My production RAG pipeline had 22 days before its reflection model was deprecated. Cloudflare's recommended replacement: Gemma 4 MoE. I migrated and benchmarked every step. 728 reflections generated. $5/month cost unchanged.
An MCP server that turns any Claude conversation into a knowledge base. Embed, store, and query vectors on Cloudflare Vectorize — no external infrastructure. Live dashboard at vectorize-mcp-worker.fpl-test.workers.dev/dashboard.
The formula can be perfect. The model can be correct. Yet the result is still dry — because the assumption about the environment was wrong.
Real-browser SEO audit using Python + Playwright + Claude. No API scraping. Real browser, real data, real results.
Backlink analysis at scale gets expensive fast. I reversed the problem and cut per-URL costs to near zero.
A local AI agent that reads my dev.to posts, scores them against SEO and readability heuristics — zero cloud costs.
Close the Click Gap — upload your Google Search Console export and get specific title & meta rewrites that turn impressions into clicks. Built with the same GSC + Claude pipeline I use on client sites.
Proof of Human: I Built a Reverse Turing Test After Getting Flagged as AI June...
This is a submission for the June Solstice Game Jam I got flagged by Sloan. If you've been on...
Everyone is shipping AI-generated code right now. Most of it is going straight to main. Quick...
Two weeks ago I published a piece explaining exactly why AI detectors are unreliable. Then Sloan...
Search returns things you have to read. An answer engine reads them for you. I built a search engine...
Email me with what you're trying to build. I'll tell you honestly what's feasible, how long, and what it costs. No sales deck. No follow-up sequence.
Email Me