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AI Agents and Automation on Base44
Build in-app AI agents, conversational chat assistants, and fully automated content and operations workflows on Base44 — the same systems powering a real agent and social-automation stack. By the end you can ship an agent with entity tools, a persisted chat UI, and a scheduled multi-step workflow.
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Curriculum
1. InvokeLLM vs Agents: Picking the Right Tool for the Job
2. Your First In-App Agent: Config, Tools, and Permissions
3. Giving Agents Entity Access: Safe CRUD Permissions
4. Backend Functions as Agent Tools: Wiring Functions to Agents
5. Conversational UI: Building a Chat Interface That Persists History
6. Workflows as Automation: Scheduled, Entity-Triggered, Connector-Triggered
7. Multi-Step Workflows: Branching, Waits, and Data Threading
8. Connector Triggers: Slack, Google, and Webhook-Driven Agents
9. The Morning Briefing Pattern: Scheduled AI Reports
10. Guarding Credit Spend: Rate Limits, Admin Gates, and Fallbacks
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