Get your local AI workflow unstuck.
If OpenClaw, Ollama, Docker, gateway auth, tools, or local models are blocking you, book a focused CloudYeti advisory call. We debug the immediate issue and decide whether local, cloud, or API-based AI is the right path for the workload.
Saurav Sharma: 6 years at Amazon across cloud architecture, reliability, cost optimization, and LLM/GenAI platform engineering.
Short answer: CloudYeti can help with OpenClaw setup when you need a technical second set of eyes on installation, local model configuration, Ollama, Docker, gateway errors, tool-use reliability, or the cost tradeoff between local AI and hosted APIs.
Bring the setup that is actually in front of you.
The call is practical: screen share, logs, commands, model settings, and the decision you are trying to make. These are the issues that usually fit.
OpenClaw install and gateway errors
Gateway token missing, Docker config, blank responses, Chrome extension setup, Windows PATH issues, and port conflicts.
Ollama and local model setup
Model naming, provider strings, RAM/VRAM constraints, slow local inference, and choosing a model that can reliably use tools.
Local versus cloud AI decisions
When to run locally, when to use an API, when to use cloud GPUs, and how to keep the architecture from becoming expensive or fragile.
One narrow setup problem or a team rollout?
Paid advisory call
Best when you are personally stuck and want to get one OpenClaw, local AI, or architecture question resolved quickly.
Book the advisory callTeam scope call
Best when this is a company rollout, AI cost audit, platform decision, multi-workload architecture review, or executive question.
Book the free intro callSend enough context to skip the warm-up.
- Your environment: Mac, Windows, Linux, Docker, WSL, cloud VM, or local workstation.
- The exact failure: command output, browser error, OpenClaw logs, gateway status, or the response pattern you see.
- Your model path: API provider, Ollama model name, local hardware, RAM/VRAM, and whether tools need to work.
- The outcome: personal local assistant, team workflow, benchmark, cost reduction, privacy requirement, or production architecture.
Why CloudYeti?
Saurav Sharma works at the intersection of cloud cost, production reliability, and LLM systems. The value is not just fixing one command. It is knowing when the local setup is worth pushing through, when an API is cheaper, and when the architecture needs a different shape.
Use these first if you want to self-debug.
OpenClaw troubleshooting
Fix common OpenClaw errors, including gateway auth, Docker config, blank responses, and Windows issues.
Local LLM hardware
Compare local model options by RAM class and workload before buying hardware.
Common questions.
Can CloudYeti help me set up OpenClaw?
Yes. The best fit is a focused 55-minute advisory call when you are stuck on OpenClaw installation, gateway tokens, Docker setup, Ollama or local model configuration, tool-use failures, or local-vs-cloud model decisions.
Should I book the paid advisory call or the free intro call?
Use the paid advisory call for one narrow setup or debugging question. Use the free intro call when this is a team rollout, AI cost review, multi-workload architecture question, or larger consulting scope.
Can you help with Ollama and local LLM hardware choices?
Yes. The advisory can cover Ollama model setup, RAM and VRAM tradeoffs, CPU versus GPU limits, tool-use reliability, model selection, and when a cloud or API model is more practical than running locally.
What should I send before an OpenClaw setup call?
Send your operating system, install method, OpenClaw command output, relevant logs, model provider, Ollama model name if applicable, hardware specs, and the outcome you want from the setup.
Stuck enough that another hour matters?
Book the paid call for one focused setup problem. Use the free intro call when the question is bigger than one machine or one afternoon.