Automation & scripting enthusiast now focusing on practical LLM + agent workflows.
🤖 Exploring: autonomous task chains · tool reliability · lightweight agent patterns
- 🔭 Maintaining: ql-script-hub
- 🧪 Experimenting: planner/executor patterns, prompt variants, failure recovery
- 🛠️ Building: small composable scripts + agent orchestration glue
- 💡 Philosophy: automate the boring, keep reasoning lightweight
- Multi-agent routing (minimal state)
- Function-calling vs raw prompting trade-offs
- Error / retry strategies for long chains
- Token economy + lean memory buffers
Bash · Python · JavaScript/Node · Go · Git · (LLM prompting / agent orchestration)
Automate the boring. Amplify the intelligent step. Iterate.
Thanks for visiting! ⭐ If something here helps you, feel free to star a repo.