Hey Product Hunt! I'm Spencer, and I built HyperWorker because I kept hitting the same wall running projects through AI agents. The agent would be great for the first few tasks. Then it would forget what happened last session, edit files it was told not to touch, or mark something "done" based on nothing but its own confidence. The problem wasn't the model...it was the environment. There was nothing structurally preventing drift. HyperWorker started as rules in a system prompt. When that stopped scaling (prompts compress, rules conflict, knowledge gets lost), I externalized everything to markdown and YAML files that the agent re-reads every session. v4 adds Verification as the sixth mechanism...every task now produces an evidence trail proving what was checked and what happened. The ratchet principle means the project can only move forward. The launch campaign for HyperWorker was managed by HyperWorker itself. That felt like the right test. I'd love feedback from anyone running real multi-session projects through AI agents. What breaks for you? What patterns have you found?

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4mo ago

What breaks when you run long projects through AI agents?

I've been using AI agents for multi-session projects (not one-shot tasks...actual work with phases, dependencies, and handoffs between sessions). Curious what patterns other people are seeing.

Some things that keep breaking for me:

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HyperWorker

Project management harness for AI agents

Project management harness for AI agents

Forum Threads

What breaks when you run long projects through AI agents?

Forum Threads

What breaks when you run long projects through AI agents?