Troubleshooting Request — OpenClaw bot setup and functionality:
- Bot consistently fails to understand tasks, its own architecture, and agents.
- Bot lacks agency to propose or implement solutions; often explains how user could do things instead of acting autonomously.
- Agents return nothing or perform incorrect actions; bot reports success when tasks were not completed.
- Token usage is high/wasted despite attempted token-reduction policies.
- Bot overcomplicates simple tasks (e.g., building a dashboard) and fails to deliver functioning results.
- Repeated setup attempts (four different setups).
- Models tested:
- Opus 4.6 (used for setup/initiation)
- Kimi 2.5
- Google Gemini Pro
- Google Gemini Flash
- Grok
- Multiple agents created for different purposes; agents either return nothing or perform wrong actions.
- One agent was given access to documentation to self-diagnose/fix but did not improve.
- Bot does not understand what it should or should not do.
- Bot claims tasks are completed when they are not.
- When errors are pointed out, bot acknowledges but then makes further mistakes.
- Bot fails to optimize for token usage despite policies provided.
- Identity/instruction variations tested (different personas and initial instruction methods) with no meaningful improvement.
- Specific examples/issues:
- Dashboard task: intended to simply display files as a test; bot attempted to build an overly complex server calling its own API, could not make it work; persisted with complexity despite direction to simplify.
- I am experienced with AI tools (Codex, Claude Code, various agents).
- Best practices for first setup of OpenClaw bot / troubleshooting guide.
- Guides or first-use documentation for making the bot smarter or more autonomous without relying solely on Opus 4.6.
- How to configure agents, policies, identities, and workflows so the bot reliably understands tasks and executes them with minimal token waste.
- Bot lacks agency to propose or implement solutions; often explains how user could do things instead of acting autonomously.
- Agents return nothing or perform incorrect actions; bot reports success when tasks were not completed.
- Token usage is high/wasted despite attempted token-reduction policies.
- Bot overcomplicates simple tasks (e.g., building a dashboard) and fails to deliver functioning results.
- Repeated setup attempts (four different setups).
- Models tested:
- Opus 4.6 (used for setup/initiation)
- Kimi 2.5
- Google Gemini Pro
- Google Gemini Flash
- Grok
- Multiple agents created for different purposes; agents either return nothing or perform wrong actions.
- One agent was given access to documentation to self-diagnose/fix but did not improve.
- Bot does not understand what it should or should not do.
- Bot claims tasks are completed when they are not.
- When errors are pointed out, bot acknowledges but then makes further mistakes.
- Bot fails to optimize for token usage despite policies provided.
- Identity/instruction variations tested (different personas and initial instruction methods) with no meaningful improvement.
- Specific examples/issues:
- Dashboard task: intended to simply display files as a test; bot attempted to build an overly complex server calling its own API, could not make it work; persisted with complexity despite direction to simplify.
- I am experienced with AI tools (Codex, Claude Code, various agents).
- Best practices for first setup of OpenClaw bot / troubleshooting guide.
- Guides or first-use documentation for making the bot smarter or more autonomous without relying solely on Opus 4.6.
- How to configure agents, policies, identities, and workflows so the bot reliably understands tasks and executes them with minimal token waste.
The AI that actually does things. Emails, calendar, home automation - all from your favorite chat app. New shell, ready to help. The lobster way.
134,426Members
Resources
Similar Threads
Was this page helpful?
