Add ChatGPT, Gemini, or Claude to Your GuidedTrack Programs
GuidedTrack already excels at creating personalized reports based on respondent answers. The trouble with creating these reports is that each piece of personalization must be pre-coded into the survey logic, which can be difficult and time-consuming. To provide truly custom feedback, you need to connect your GuidedTrack program to an AI model. Apart for custom reports, integrating with AI opens up other capabilities that would be impractical to hardcode, such as:
- Personalized narrative feedback that synthesizes multiple answers into coherent, individualized insights
- Sentiment analysis of open-ended responses to detect emotional tone and flag concerning patterns
- Structure extraction that transforms freeform text into categorized, analyzable data
We’ve put together three step-by-step tutorials, one each for ChatGPT, Gemini, and Claude, showing you exactly how to call each API directly from a GuidedTrack program. Each tutorial walks through a complete working example, explains how the code works, and shows you how to adapt it for your own use case.
Pick the one that fits your setup, or read all three:
- Build an AI-Powered Personal Coaching App with ChatGPT and GuidedTrack
Use OpenAI’s flagship model, to generate feedback, summaries, or dynamic responses directly inside your programs. Includes a system prompt setup for controlling tone and persona. - Build an AI-Powered Learning App with Gemini and GuidedTrack
Connect to Gemini, Google’s fast, capable LLM, using a simple API key from Google AI Studio. Great for high-volume programs where speed matters. - Build a Psychology Reflection Tool with Claude and GuidedTrack
Use Anthropic’s latest model, to add nuanced, instruction-following AI responses to any program. Claude’s longer context window makes it especially useful for research and complex assessments.
What you can build with any of them
The same Custom Service pattern works across all three providers. Once you understand it, you can do a huge range of things, including:
- Give participants personalised feedback on their quiz or assessment results
- Summarise open-text responses in real time
- Generate dynamic next steps based on what someone entered
- Build a conversational element inside a longer survey or course
- Let participants ask follow-up questions about their results
The AI does the thinking. Your GuidedTrack program handles the flow.
Each tutorial walks you through setting up the Custom Service, writing the handler that calls the API, connecting it to your program, and displaying the AI’s response to your participant, with working code you can paste directly.
