AI Assistants Are MUCH More Powerful Than You Think (BuildShip Advanced Tutorial)
AI Summary
Summary: AI Assistants and Buildship Workflow
- Introduction to AI Assistants:
- AI assistants are like customized chatbots tailored to specific needs.
- They can process data, follow specialized instructions, and execute custom functions.
- Creating an AI Assistant:
- Fork Chat GPT, feed it custom data, and provide a code interpreter.
- OpenAI added the ability to execute custom functions, enhancing versatility.
- Technical Requirements:
- Some technical knowledge is needed to leverage AI assistants.
- Buildship simplifies the process with an easy-to-use UI.
- Buildship’s Versatility:
- Supports various language models (LLMs) like Anthropic’s Claude AI.
- Allows experimentation with different LLMs and cost savings.
- App Examples:
- Quiz Maker App:
- Generates quizzes, saves to a database, and loads quizzes in an app.
- Uses Buildship’s workflow with custom functions and a database like Supabase.
- Recommendation Engine:
- Recommends products based on user order history.
- Utilizes a custom function to analyze order history and generate recommendations.
- Beach Score App:
- Rates beach suitability based on weather and water temperature.
- Uses two custom functions to retrieve air and water temperatures.
- Testing Workflows:
- Workflows are tested by sending requests with specific parameters.
- Results are used to confirm the functionality of the apps.
- Frontend Integration:
- Apps are integrated with a frontend, like a Flutter Flow app, to display results.
- Conclusion:
- Buildship’s AI assistants and workflows offer a powerful, no-code solution for app development.
- Resources and further learning available through the creator’s Patreon community.
For more details, resources, and access to the apps mentioned, interested individuals can join the Patreon community via the provided link.