From Adotob Solutions
Stop Your AI Agent From Lying, Looping, or Burning Budget
Production-tested supervision patterns, heartbeat configs, eval templates, e-stop controls, and anti-fabrication protocols for autonomous AI agents.
You shipped agents. They mostly work. Sometimes they fabricate work they did not do, send the wrong email, or burn budget reasoning over an empty queue. We run an autonomous AI fleet for a 501(c)(3) nonprofit — five named agents, $3 a week in LLM spend, real customer-facing output every day — and the free sample below is one piece of it. Today we run agents for businesses instead of selling the configs.
For OpenClaw users specifically — the hidden tax of a default setup
“$25 in 9 hours, help”
The most common OpenClaw support thread is someone watching their token budget melt while the heartbeat loops every 15 minutes on an expensive model. It’s almost always the same three problems stacked on top of each other.
The cost-tuning section here is OpenClaw-specific.
Interval too short
15-minute heartbeats re-pay for the full prompt every cycle. Most provider prompt caches have a 60-minute TTL. Land inside that window and you reuse the cache instead of re-billing it.
Wrong model on the loop
Heartbeat checks don’t need reasoning. Running gpt-4o on the loop is 10× the cost of gpt-4o-mini or Haiku for the same “is there anything urgent?” check.
Always-on
Running 24 hours when you only need 12. An activeHours window of 7am–8pm cuts overnight cost to zero.
Reference setup — production box at MACONA (a nonprofit we volunteer with)
5 specialist agents running 7am–8pm ET: inbox scan, calendar awareness, content writer, editor with Playwright QA, and orchestrator. 55-minute heartbeat, gpt-4o-mini on the loop, budget cap in the config.
We've stopped selling config bundles
Config files are easy to copy, and an agent can write its own. The hard part is running agents every day for a real business, reliably. That's what we do now.
We run the lead-to-customer system for small service businesses, and you pay when a new customer pays.
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We run AI agents for real organizations every day — a nonprofit serving communities in West Africa and a B2B consultancy. These configs are extracted from that production experience, templatized, and packaged for you to adapt to your own organization.
Bundles include constitutional rule frameworks, cron patterns, eval schemas, and architecture docs — templatized with placeholders for your details. API keys, credentials, contact data, and proprietary scripts are not included.