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DeepMind's Running Guide agent and Google's A24 collaboration are useful signals for builders because both move agents out of chat and into higher-stakes workflows. For engineers, the takeaway is practical: Map what t
DeepMind's Running Guide agent and Google's A24 collaboration are useful signals for builders because both move agents out of chat and into higher-stakes workflows.
For engineers, the takeaway is practical:
- Map what the agent can observe before choosing a model
- Define allowed actions and blocked actions
- Add human review states where judgment or consent matters
- Log decisions, failures, fallbacks, and escalations
- Compare LangGraph, LangChain, CrewAI, native function calling, and MCP based on runtime control, not popularity
Running Guide points at real-time spatial guidance for blind and low-vision runners using computer vision and spatial audio on a chest-mounted Pixel 10 Pro. The A24 deal points at creative workflow tooling, including AI filmmaking tools and storyboard generation. Different domains, same engineering constraint: autonomy has to be bounded before it reaches users.
π Read the full guide β DeepMind's Running Guide agent and the A24 partnership: what real-time spatial and creative AI agents mean for engineers
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.