Topic
Venturebeat
3 episodes
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Scaling AI agents requires inventory, contracts and maintained context
Pippa and Tyler break down Felix Van de Maele's VentureBeat AI Week argument: enterprises hit a wall around 10-15 agents because governance, context, and cost scale exponentially. The fix isn't better models — it's inventory (knowing what agents exist), contracts (machine-readable runtime rules), and a maintained context layer (ontology) that survives platform swaps. Collibra's guardian agents enforce contracts deterministically, not with LLMs. The hosts connect this to their own coverage of the 'hallucination tax,' observability gaps, and the shift from execution to judgment as the real bottleneck.
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VentureBeat Agentic Orchestration Report
Justy and Cody dig into VentureBeat's orchestration survey and land on a simple read: enterprises say they want model portability, but in practice the application layer is tuned to model behavior, so swapping models is usually a rebuild disguised as a config change. The interesting part isn't who tops the platform chart, it's that buyers still want control outside provider-native stacks even while OpenAI leads current usage.
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AI agent tool routing cuts token use 99% | VentureBeat
Cooper and Miles dig into Alibaba's SkillWeaver paper via the VentureBeat write-up, landing on the real claim: tool routing breaks when decomposition vocabulary doesn't match the tool library, and the fix is a retrieval feedback loop that rewrites the plan around actual available skills. They like the systems shape, question some benchmark framing, and agree the practical takeaway is for teams with large tool catalogs, not everyone building simple agents.