01

Give AI a verb

“AI-powered” is not a responsibility. Draft, classify, extract, compare, explain, generate, route, and recommend are useful starting verbs. Add the object, the user, and the decision that follows.

02

Match freedom to consequence

A playful design exploration can tolerate variety. A payment action or policy answer cannot. As consequence rises, narrow the output, require stronger evidence, and add human approval or deterministic checks.

03

Design the context before the prompt

Decide which records, documents, policies, conversation history, and tool results the model can use. Define who may see each source and how stale or missing information appears. Better context usually matters more than a clever instruction.

04

Make uncertainty usable

The interface can show sources, ask a clarifying question, present alternatives, mark an assumption, or route the task to a person. Hiding uncertainty makes a smooth demo and a dangerous product.

05

Evaluate complete tasks

A response can look good and still fail the job. Test representative inputs, edge cases, prohibited behavior, latency, cost, tool actions, and whether a user can recognize and recover from a mistake.

06

Keep an exit from automation

People need a visible way to edit, undo, pause, retry, or take over. Operators need a record of what the system saw and did. Those controls are part of the product, not evidence that the AI failed.

07

A concrete boundary from Seylo

Seylo’s documented product model separates approved business information from drafts and keeps human takeover visible. The useful responsibility is answering from the business’s reviewed facts and preserving the context for an operator. The portfolio case study explains how an operator can review the conversation, take over, and keep the lead’s next action visible.

08

Build an evaluation table before launch

For a hypothetical shop assistant, write one row each for a known price, a missing price, a request for an unapproved discount, an unavailable item, and a request for a human. State the permitted answer and next action. A correct answer to the missing-price case can be “I need to confirm that,” followed by handoff. A fluent invented number fails even if the sentence sounds helpful.

09

Review the evidence after a model change

Keep the same example inputs when changing a model, prompt, or knowledge source. Record whether the answer used an approved fact, whether the requested action happened, and whether handoff remained available. Review failures with an operator who understands the business. The purpose is to see a regression in a real responsibility before it becomes a customer conversation.