Guide
Useful agent workflows to try first.
Six practical AI agent examples with inputs, outputs and human review points.
Research and writing
Turn interview notes into a thematic brief, compare a supplied list of products, or build a sourced outline for an article. Provide the source material and require citations. Keep factual checking and publication with a person.
Development and release work
Ask an agent to reproduce a bug in a test repository, propose a focused patch, or draft release notes from a reviewed change list. Require test results and inspect the diff. Use a disposable workspace before allowing changes to a production project.
Recurring operations
Prepare a weekly status report, summarize a support export, or identify overdue work from a provided task list. Define the reporting window and output location. Start manually; add a routine once the format is useful and the inputs are available.
Keep exploring
A practical guide to working with agents.
Learn the basics of AI agents, set up Suparagent and build reviewable workflows.
ProductGive every agent a place on the team.
Explore named agents, teams, memory, routines, skills and review controls in Suparagent.
Security & dataUnderstand where the work runs.
Learn the boundaries between your browser, the hosted service, sandbox providers and AI engines.
Give the work a home
Build your first AI team.
Start with one agent, one clear task, and a result you can review.
Preview · Bring your sandbox provider and AI account