When AI leaves the chat window.

From conversation to a sequence of actions

A conversation ends with a response. A useful agent may need to go further: inspect a document, choose a tool, check a result and decide what to do next. That change makes the surrounding product as consequential as the intelligence inside it.

Anthropic’s guide to building effective agents distinguishes predefined workflows from agents that dynamically direct their own tool use. It also describes the tradeoffs in cost, latency and predictability that come with greater flexibility.

Our view is that the first design decision should concern the task. A repeatable process with stable inputs may benefit from a clear workflow. An open-ended investigation may require more room to adapt.

Imagine a research desk

Take an illustrative workflow, rather than a Hypetell product announcement: an assistant preparing a technology briefing. It could gather sources, extract dates, group competing claims and prepare a draft. The person receiving the briefing would still need to see the original sources and understand where interpretation begins.

The interface should make that structure visible. A compact activity log is often more helpful than a theatrical stream of simulated thought. Show the documents consulted, the actions completed and the questions that remain unanswered.

Design the handover

Before adding autonomy, define the handover points. What may the system do independently? What needs review? What should happen when a tool fails or a document contradicts an earlier source?

A well-designed agent needs a way to stop, explain the situation and return control. It should also leave enough of a record for someone to understand how it arrived at a result. In our proposed research desk, that record would connect each material claim to its source.

Testing should follow the complete task. A successful tool call does not prove that the right question was asked. A polished draft does not prove that an important contradiction was noticed.

The next product opportunity

We see an opportunity in making intelligence easier to supervise. Clear boundaries, thoughtful defaults and useful feedback can turn an impressive demonstration into something a team can work with every day.

The most compelling agent may be the one that makes its contribution easiest to inspect, correct and trust over time.