MONTY / PLAY
AI agents: 7 things I learned the hard way
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What is discussed
AskMonty AI editorial noteSource consulted:
From his experience with Spiegamelo Facile, Montemagno identifies seven difficulties in building a project with AI agents without being a programmer: costs, time, obsessive involvement, technical blind spots, errors, technical debt and operational isolation. He also recounts an automated loop that consumed credit without delivering a result. He proposes dedicated monitoring and a coordinating assistant, balancing enthusiasm for the possibilities with doubts about actual reliability.
Key points
- Subscriptions, APIs and supporting services require cost measurement and verified limits.
- A working prototype does not automatically solve security, maintenance and future scaling.
- Delegating to a coordinator and monitoring agents may reduce supervision but requires practical verification.
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