Overview of Replit AI, capabilities, applications, and workflow design.

Replit account setup, environment configuration, and project templates.

How Replit AI agents process input, maintain context, generate outputs, and interact with external tools.

Designing effective prompts, context framing, multi-step instructions, and controlling outputs.

Step-by-step creation, task configuration, testing, and initial deployment.

Connect AI agents to external services: email, databases, websites, and APIs.

Chaining actions, task decomposition, agent loops, and autonomous execution.

Using embeddings, vector stores, and memory to store context and make intelligent decisions.

Performance tuning, error handling, monitoring logs, and improving agent outputs.

Creating multiple agents, role-based task allocation, and collaboration between agents.

A workflow automation Replit AI agent

A research & summarization AI application

A business process automation AI project

An integrated multi-tool Replit AI application