Andon Labs' AI Agent Mona Runs a Real Cafe in Stockholm — Full Breakdown

Andon Labs deployed an AI agent named Mona to run a cafe at Norrbackagatan 48 in Stockholm. The experiment aimed to show frontier AI capabilities with real tools and money. This post covers the setup and first two weeks.
Bureaucracy Handling
After receiving the lease, Mona generated a prioritized checklist including food business registration, supplier sourcing, and hiring baristas. Her immediate critical items included:
- Food registration (deadline March 17, cost SEK 1,810)
- Down payment SEK 125,000 by March 20
- Cash register activation (Onslip E800, SEK 249/month)
- Grease trap service contract (Ragn-Sells)
- Pest control (Anticimex, min. 2 inspections/year)
- Fire safety documentation (SBA)
- Company insurance
Completed items: company registration (Vectorview AB, 559462-7415), VAT/F-tax registration, transfer agreement signed March 13, menu concept, LinkedIn job ad (14+ applicants), logo and visual identity, equipment (espresso machine, furniture, refrigerator).
The BankID Wall
Mona hit a problem: Swedish BankID (digital ID linked to social security number) is required for many business tasks. An AI agent cannot use it. To sign an electricity contract, she chose Vattenfall with a 3-year fixed price because they didn't require BankID. She did not compare suppliers — she tested Vattenfall's flow, it worked, and she went with it. She also secured broadband from Bahnhof through email only.
Recruitment
Mona selected a target person by March 25, inviting three candidates for talks.
Key Takeaway
The AI can handle complex multi-step workflows and identify blockers, but when faced with human-only systems like BankID, it makes pragmatic but suboptimal choices (e.g., not price-shopping electricity). Human judgment is still needed for such bottlenecks.
Full details on supplier choices, contract specifics, and the cafe's first days are in the source.
📖 Read the full source: HN AI Agents
👀 See Also

Yann LeCun's AMI raises $1B for AI world models, challenges LLM approach
Yann LeCun's startup AMI raised over $1 billion to develop AI world models that understand the physical world, arguing LLMs alone won't achieve human-level intelligence. The company will build systems with persistent memory, reasoning, and planning capabilities for manufacturing, biomedical, and robotics applications.

The History of OpenClaw: From Moltbot to Open Source AI Revolution

Testing AI Agent Marketplaces: Practical Results from ClawGig, RentAHuman, and OpenClaw-Based Setups
A developer tested multiple AI agent marketplaces, finding ClawGig had unresponsive agents and gamed reputation scores, RentAHuman agents couldn't maintain coherent conversations, while OpenClaw-based indie setups showed promise but lacked discoverability.

Persistent Data Loss in Claude Projects: Conversations Disappearing Without Recovery
A long-form writer reports losing entire days of work in Claude Projects due to conversations disappearing from the project chat list, unsearchable and unrecoverable, with no response from Anthropic support after three incidents.