AI agent and TV4’s erased footage: how much autonomy is too much?
The TV4 case raises a product question: how should teams limit agent autonomy while preserving the value agents can deliver?
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Reading the radar is half the job.
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The PM Arena is the Produto com IA simulator: you take command of real scenarios — an agent blowing through its budget, a credit copilot stuck at the release gate, an irreversible real-world incident — and watch each choice play out in live telemetry. It is flight training for anyone building products in the AI era.
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[ WHAT YOU WILL FACE ]
- C.01FINOPSThe support agent that blew the budget
- C.02EVALSThe credit copilot stuck at the release gate
- C.03GOVERNANCEAn agent with irreversible real-world effects
- C.04SDDFrom vague PRD to Spec Kit with coding agents
- C.05ANTI-HYPEAgent washing: AI everywhere, value nowhere?
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Your AI product needs to remember its own mistakes
Evals turn real failures into infrastructure that keeps up with every change to the model, prompt, or flow.
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T.01
Artificial Intelligence
Models, agents, governance, and AI adoption in product.
3 QUESTIONS →T.02AI Agents
Frameworks, case studies, and risks of autonomous agents.
3 QUESTIONS →T.03AI Models
Frontier model analysis, cost, and benchmarks.
3 QUESTIONS →T.04Coding Agents
Scale, cost, and governance of code agents.
3 QUESTIONS →T.05AI FinOps
Cost reduction and AI unit economics.
3 QUESTIONS →T.06AI Governance
Risk, compliance, and auditing for AI in production.
3 QUESTIONS →[ GLOSSARY ]
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Governance
Agent Washing
A term coined by Gartner to describe products sold as "AI agents" that are in practice just conditio...
OperationsAI FinOps
The discipline of managing and optimizing the cost of operating language models in production, inclu...
TechnicalModel Distillation
A technique to train a smaller model from the outputs of a larger model, preserving capability for a...
TechnicalRAG (Retrieval-Augmented Generation)
A technique that combines information retrieval with text generation, allowing LLMs to use external ...
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