Raw LLM Responses

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Comment
Daniel Velasquez There’s definitely a valid concern here. A lot of “agentic” products today are still probabilistic systems wrapped in impressive demos, and without strong deterministic tooling underneath, reliability becomes a real issue for production workflows. And yes, the economics matter. Running large multi-agent systems is expensive, so eventually pricing has to reflect compute usage somehow. That said, I still think the broader direction is real. The companies that win will likely be the ones that combine agentic flexibility with deterministic guardrails, predictable workflows, and pricing developers can actually sustain.
LinkedIn AI Research & Models AI Automation Strategist & Venture Partner at Z… 2026-05-24T14:3…
Coding Result
DimensionValue
Primary valuesafety
Secondary valueeconomic_equity
Alignment targetorganisations
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the need for strong deterministic tooling underneath agentic products to ensure reliability, which aligns with the value of safety.
Target justificationThe speaker discusses the economics of running large multi-agent systems and the need for pricing that reflects compute usage, indicating that the target of alignment is organisations, such as companies.
Coded at2026-06-11T08:04:23Z
Raw LLM Response
``` { "value_primary": "safety", "value_secondary": "economic_equity", "target": "organisations", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the need for strong deterministic tooling underneath agentic products to ensure reliability, which aligns with the value of safety.", "target_justification": "The speaker discusses the economics of running large multi-agent systems and the need for pricing that reflects compute usage, indicating that the target of alignment is organisations, such as companies." } ```