Description

This coaching package is built to take you from idea to a working AI agent that you can use, share, and build upon. You’ll get a mix of strategy, hands-on building, and practical resources to ensure you leave with both a functional product and the know-how to extend it. Package topics can include, but are not limited to: - Use case definition: clarify the problem your agent will solve, its target users, and where it will fit into your workflow or business - Tool and tech stack setup: guidance on choosing and setting up the right frameworks (LangChain, AutoGen), APIs (OpenAI, Anthropic), and integrations (Slack, Notion, CRM, etc.) - Prompt and workflow design: build the logic, memory, and workflows that make your agent useful, reliable, and repeatable - Rapid prototyping and iteration: develop and test your first working version, with coaching support to debug, refine, and improve - Deployment and integration: launch your agent in an environment where it can be accessed and used (cloud hosting, internal tools, or team platforms) - Documentation and next steps: create clear instructions and a roadmap so you can maintain, extend, or scale your agent beyond this package Outcome: By the end of the package, you will walk away with a working AI agent tailored to your goals, plus the resources and knowledge to confidently extend its capabilities on your own.