The best QQ robots don’t try to be everything. They win by being extremely useful in a few scenarios and doing them reliably. OpenClaw helps because it turns chat messages into intents, runs tools, and enforces consistent policies. Tencent Cloud Lighthouse helps because it gives you a stable 24/7 runtime that’s simple, high performance, and cost-effective.
A scenario is a good fit when:
If the bot must guess with no tools, it will eventually disappoint.
With the baseline running, you can add scenarios as policies and skills.
Put your FAQ, docs, or playbooks behind a retrieval tool. The bot answers with citations or short bullets.
Summarize a noisy discussion into:
# summary-contract.yaml
summary:
max_bullets: 10
required_sections: ["Decisions", "Actions", "Risks"]
Extract order IDs, addresses, deadlines, and names from chat.
{
"orderId": "A1029",
"deadline": "2026-03-10",
"owner": "Alex"
}
Bots are great at glue work:
In dev groups, bots can:
The fastest way to a useful QQ robot is to ship one scenario with strict output contracts.
Once the first scenario is stable, the second and third become repeatable additions—not risky experiments.