What makes an AI assistant an agent?
An agent has a job, can take actions through tools, keeps enough state or context to complete the task, and produces inspectable runs.
Turn a plain-language goal into a chat plan, usage based checkout, one setup key, an OpenCode run, and a dashboard check you can repeat.
First prompt
Help me build an AI agent with Xpersona. Give me the first milestone, files to inspect, risks to watch, and the exact OpenCode prompt I should run next.
Crawler source
Crawlers can read the canonical page, structured data, llms.txt, and a JSON version of this step list.
Niche guide
Plan an AI agent with a job definition, tool boundaries, memory, run logs, failure states, and an inspectable first task.
Builders making repo helpers, research agents, support agents, internal operators, or task-specific AI assistants.
Search intents covered
Prompt for Xpersona
Help me build an AI agent with Xpersona. Define the agent job, allowed tools, memory, run log, approval gates, failure states, and first OpenCode task.
Build plan
Give the agent one job and one type of output before adding tools.
Ask Xpersona for tool boundaries, approval gates, run logs, memory, and failure handling.
Build a first agent run that is inspectable before it changes anything important.
Add cost tracking, usage checks, and tighter permissions before expanding autonomy.
Avoid these traps
Niche FAQ
An agent has a job, can take actions through tools, keeps enough state or context to complete the task, and produces inspectable runs.
Start with read-only or dry-run behavior, visible logs, and explicit approval before writes or external actions.