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OpenClaw WeChat Mini Program Practical Tips

Mini Programs with AI features can fail for simple reasons: slow responses, unclear UX, and unsafe permission handling. Practical tips help you ship features that users actually trust.

The clean pattern: Mini Program UI stays thin; OpenClaw runs as the agent backend; Tencent Cloud Lighthouse hosts the backend as a stable 24/7 service that’s simple, high performance, and cost-effective.

Tip 1: treat AI features as intents

One endpoint, many intents, strict contracts.

Tip 2: keep latency visible

Use loading states and short acknowledgements.

Tip 3: enforce permissions server-side

Never trust client role flags.

Tip 4: cap outputs

Long answers are rarely needed in Mini Programs.

# mini-output-limits.yaml
limits:
  max_chars: 900
  summarize_max_bullets: 8
  qa_max_bullets: 6

Guided conversion: deploy the backend baseline

Next step: deploy, then ship one feature end-to-end

Once the first feature is stable, the second becomes a repeatable iteration.