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Practical answers with the work attached.
Direct explanations, real workflow examples, and interactive visuals for people building a dependable way to work with AI.
A team around the workFocused agents. One complete job.
Agent teamwork
Codex
Claude
GeminiAI agent vs. workflow vs. orchestrator: what is the difference?
Agents perform focused roles, workflows define how work moves, and orchestrators coordinate the whole job. Here is how the three fit together.
Read the guideYour private logins stay localThe AI asks. StackOS checks and acts.
Local controlHow can AI agents use business accounts without seeing the login?
A local action layer can keep private credentials away from the model while still letting AI perform explicit, approved work in connected apps.
Read the guideKeep the tools you useYour AI works across your apps.
Connected workHow to use Codex, Claude Code, or Gemini with the tools you already have
Keep your preferred AI client and existing business apps. Add a shared work layer so requests become trackable plans with safe, explicit actions.
Read the guideFrom request to resultA complete plan you can follow.
Visible planWhat is an agentic workflow? A practical guide to AI-powered work
An agentic workflow turns a goal into visible steps that AI can plan, complete, check, and hand off across the tools your team already uses.
Read the guide