Blog

Tag: AI agents

6 articles

Laravel’s AI SDK reached v1. Where should it fit in your application?

Laravel AI SDK v1 adds tool approvals and new conversation storage. Keep authority in the app, treat state as data and plan the upgrade before you deploy.

#AI agents

The AI task is halfway done. What happens next?

Sixty percent of what? Long-running AI work should show what is done and checked, ask for help in a way people can answer and resume from the current facts.

#AI agents

An AI agent needs a better finish line than “Done”

An agent saying it moved the delivery is not proof. Write cases with clear answers, inspect what actually changed and widen the cases before trusting a score.

#AI

Where should an AI agent pick up after the conversation ends?

Long-running AI work needs a record outside the chat. Use fixed workflows where you can, check what is true before resuming and define done in advance.

#AI agents

Your AI assistant needs the right context before another clever prompt

When an AI mixes up a draft and an approved plan, a better prompt may not help. Give documents roles, retrieve the right evidence and keep working state apart.

#AI

Does this workflow need an AI agent, or a decent set of rules?

Many workflows need clear rules plus one interpretation step, not an autonomous agent. Map the task, then compare designs on the same awkward cases.

#AI agents

Turn reading into results

Like what you’re reading? Let’s put it to work on your brand.