12 OpenClaw Power User Tips for Efficient AI Agent Workflows

Practical Optimization Strategies

These tips focus on creating a system that runs workflows continuously while optimizing for token usage and efficiency.

Key Details from the Source

• Split Conversations Into Threads: Fix memory problems by creating separate topic threads instead of using one long conversation. In Telegram, set up a group with just you and your bot, then create topic channels like general, CRM, knowledge base, coding, and updates. Each thread maintains focused context, improving OpenClaw's memory by limiting it to one topic at a time.
• Use Voice Memos Instead of Typing: Telegram, WhatsApp, and Discord have built-in microphone buttons. Hold down the button, talk, and your message goes directly to OpenClaw. Useful when driving, walking, or not wanting to type long prompts. No extra setup required.
• Match the Right Model to the Right Task: Avoid wasting money and quality by using different models for different tasks. A general routing approach includes: using your strongest model for the main chat agent (for planning and delegating), a model known for code generation for coding tasks, a faster, cheaper model for quick questions, a model with built-in web access for search tasks, and a model optimized for large inputs for video or long-context work. Assign different models to different threads so each topic automatically gets the appropriate model.
• Delegate Tasks to Sub-Agents: Prevent the main agent from getting blocked during big tasks by telling it to hand work off to sub-agents that run in the background. Good candidates for delegation include coding work, API calls and web searches, file processing and data tasks, calendar and email operations, and anything that isn't a quick conversational reply. The main agent's role is to plan, delegate, and report back.
• Create Separate Prompts for Each Model: Maintain separate prompt files optimized per model, as models respond differently to instructions. Some prefer positive framing, others work better with explicit constraints, and formatting preferences vary. Use prompting guides from major labs and have OpenClaw rewrite instructions to match each model's preferences. Set up a nightly job to keep all versions in sync with the same content but different formatting per model.
• Run Scheduled Jobs Overnight: Schedule regular tasks like log reviews, documentation updates, backups, inbox sorting, CRM syncs, and security scans during off-hours to prevent competition with live usage for token quota. Space jobs out so they don't all fire at once, allowing you to wake up to finished work.
• Log Everything Your Agent Does: Tell OpenClaw to keep a record of every action, error, and decision in simple log files that take minimal disk space. Each morning, ask OpenClaw to check last night's logs, find errors, and suggest fixes. This turns problems into quick fixes without needing to understand underlying code.
• Harden Security With Multiple Layers: Protect access to email, files, and apps with inbound text filtering to scan for prompt injection phrases, model-powered review as a second layer to catch missed items and quarantine suspicious content, outbound redaction to automatically strip personal information and secrets before sending, minimum permissions (e.g., read email but not send), approval gates for destructive actions, and spending limits with rate caps and budget limits to prevent runaway loops.

This approach is for developers using AI coding agents who want to optimize OpenClaw for continuous, efficient operation.