Use cases for existing apps adding AI agents.
General Augment is the agent backend for app teams that need memory, governed tools, approvals, channels, local connectors, usage, and traces behind real product workflows.
A daily agent that remembers context
Morning briefings, meeting prep, reminders, inbox triage, and proactive follow-up across in-app chat, Telegram, SMS, or a local Mac connector.
Guided support with guardrails
Care navigation, intake summaries, follow-up tasks, escalation, and patient messaging with approval gates and auditable tool calls.
Policy-aware account actions
Support agents, dispute workflows, onboarding help, payment follow-up, and risky operations that require explicit approval before execution.
A product expert inside the app
User onboarding, report generation, product Q&A, workflow automation, and API-backed actions without shipping a custom agent platform.
Agents for private systems
Connect internal APIs, private network tools, local files, and workflow hosts while keeping execution on tenant-owned infrastructure.
Coding agents with governed sandboxes
Expose bounded repo, build, test, and deploy actions from a customer-owned sandbox while GA handles the agent policy layer.
Native assistants that feel personal
Persistent preferences, reminders, customer support, profile updates, and account actions that follow users across app and messaging surfaces.
Repeatable client agent launches
Use the same project, key, memory, tools, and connector pattern across many client apps without rebuilding the platform each time.