Autonomous AI · Multi-Business Operations
OpenClaw — The Bot That Runs 3 Businesses
An autonomous Telegram-based AI agent that manages daily operations across three businesses with proactive, heartbeat-driven task execution and $0 model cost.
3
Businesses managed
24/7
Autonomous operation
$0
Model cost
15+
Daily tasks
The Challenge
Managing operations across three fundamentally different businesses — an AI automation agency targeting the US market, a B2B hotel amenities company in Hungary, and a boutique luxury guesthouse in western Hungary — meant constant context-switching. Content calendars slipped. Competitive research fell behind. Marketing tasks accumulated. No single tool could handle the variety of work across such different domains, and hiring additional staff wasn't justified for the volume.
The Solution
Designed and deployed OpenClaw, an autonomous AI agent running on Telegram inside a Docker container. The system uses a confidence-based autonomy model: tasks above 85% confidence execute automatically, tasks between 60-85% propose and wait for approval, and anything below 60% gets escalated. A heartbeat schedule drives proactive work — checking tasks 5x daily for Dr. Hotellato, 2x for the agency, and 3x weekly for 4 Cats Shelter. The entire workspace (character definition, business skills, operational principles, regression tests) is injected into context at boot via a 100K token budget. The system runs on Kimi K2.5's free tier, making the ongoing model cost literally $0.
Heartbeat Trigger
Context Injection
Task Assessment
Skill Selection
Execution
Report & Escalate
The Results
Three businesses now have consistent daily operations coverage. OpenClaw handles 15+ tasks daily — from drafting social media posts to competitive analysis to ad copy generation. The confidence-based system means nothing dangerous happens without approval, while routine tasks flow automatically. Content production became proactive rather than reactive. Key insight: the $0 model cost proves that sophisticated AI operations don't require expensive API budgets when architected correctly.
Tech Stack
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