Fix the 8 Biggest OpenClaw Problems — Live Training + Q&A
Most people using OpenClaw are hitting the same walls.
The local LLM connects but never responds. API costs spiral and you don't know why. Tool calls fail silently. The gateway breaks after every upgrade. Context gets exceeded mid-session. And nobody's written a clear guide to any of it.
This live training session fixes all of that — in one afternoon.
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🛠 WHAT WE'RE COVERING
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We're going straight at the 8 problems that trip up real OpenClaw users:
1. Hardware & Cost Confusion — what you actually need to run this well, and how to stop overpaying
2. Local LLM Not Responding — the exact fix for the "typing forever" failure
3. Tool Call Failures — why your tools break and which models actually support them
4. API Costs Spiraling — how to set up a hybrid setup that cuts your bill dramatically
5. Gateway & Port Conflicts — the upgrade bug that breaks everything and how to prevent it
6. Context Window Exceeded — enabling compaction and designing prompts that don't blow up
7. Prompts for Agentic Tasks — why chat prompts fail in workflows and how to write ones that don't
8. Workspace & MD File Setup — the folder structure, context files, and skill organization that makes everything click
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📋 SESSION FORMAT
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⏱ 3 hours of live, hands-on training
💬 1 hour of open Q&A — bring your specific setup, your errors, your edge cases
🎥 Full replay included for all registered attendees
This is not a slide deck and a podcast voice. We're working through real setups, live, with real fixes.
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👥 WHO THIS IS FOR
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→ You've tried OpenClaw and something isn't working
→ You're running or want to run local LLMs and keep hitting walls
→ You want to use agentic workflows but your prompts keep failing
→ You want to get off expensive API plans without sacrificing quality
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🎟 CAPACITY: 75 SEATS
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Kept small intentionally so the Q&A is actually useful. Once it's full, it's full — replay will be available but live Q&A access won't.
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See you Wednesday, March 18th at 7:00 PM ET.
Bring your problems. Every question gets answered.
About the instructor
Aaron Wise is a Honesdale, Pennsylvania-based AI/ML engineer, project manager, and business operations specialist with a background spanning sales, marketing, and team leadership. At 38, he brings a rare combination to the AI tools space: the technical depth to build with these systems professionally and the operational experience to know what actually matters in a real business context.
https://www.linkedin.com/in/aaron-wise-31b00349
Aaron is self-taught in OpenClaw and local LLM workflows — which means he learned everything the hard way, hit every wall most users hit, and figured out how to get past them. He now builds production-level AI workflows and trains others to do the same.
English is his first language. He teaches the way he learned — clearly, directly, and without jargon for its own sake.