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AI systems no longer just respond. They plan, decide and act and often without asking.
In this episode of Human × Intelligent, we explore a critical question for the age of agentic AI: How do humans stay in control once systems can act on our behalf?
The answer isn’t more prompts, smarter models or bigger Dashboards. It’s the interface of intent, the layer that makes autonomy understandable, predictable and governable.
In this episode, we cover:
This episode connects the dots between:
If you’re designing, building or leading AI-powered products, this episode will change how you think about control, trust and human agency.
🎧 Next episode: The verifiability gap
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Show notes/links
> Follow Human × Intelligent for weekly episodes
> Subscribe on your favorite podcast platform
> Share this episode with someone building intelligent products
📬 Follow the Substack for diagrams, orchestration blueprints and deep dives into Human x Intelligent
By Madalena CostaAI systems no longer just respond. They plan, decide and act and often without asking.
In this episode of Human × Intelligent, we explore a critical question for the age of agentic AI: How do humans stay in control once systems can act on our behalf?
The answer isn’t more prompts, smarter models or bigger Dashboards. It’s the interface of intent, the layer that makes autonomy understandable, predictable and governable.
In this episode, we cover:
This episode connects the dots between:
If you’re designing, building or leading AI-powered products, this episode will change how you think about control, trust and human agency.
🎧 Next episode: The verifiability gap
---
Show notes/links
> Follow Human × Intelligent for weekly episodes
> Subscribe on your favorite podcast platform
> Share this episode with someone building intelligent products
📬 Follow the Substack for diagrams, orchestration blueprints and deep dives into Human x Intelligent