From Deterministic Code to Autonomous Systems Defining the AI Agent Era | Philippe Mizrahi

Описание: Machines are starting to choose their own tools. The real question is not what a model can generate, but when an AI agent should act, ask, or abstain.

On the Hyperengage Podcast, Philippe Mizrahi, CEO at Linkup, explains why the term “AI agent” is still fuzzy and why practical value right now sits between deterministic software and fully autonomous agents. He frames APIs as tools an agent can decide to use, which matters for reliability, context, and speed.

The full conversation explores how agent-first design shapes product strategy, the shift from developer-led adoption to enterprise demand, and why cost discipline and latency tradeoffs determine what actually ships. They touch on roadmap choices, the importance of factual outputs for business decisions, and how collaboration among tools changes how products deliver value.

The next edge won’t come from teaching users to click faster, it’ll come from teaching machines to decide better. Think of “agent readiness” as a skill your product and team must build. Define what success looks like for an AI agent, where it needs human guardrails, and how quickly it delivers value on its own. Watch where agents stall or ask for input, that’s your new churn signal. The companies that align AI workflows with real business outcomes will be the ones compounding retention, not chasing it.

What would change in your roadmap if an AI agent had to earn trust in week one and prove value in week two?

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