
Build an Automated User Feedback to Pull Request Pipeline
Create an automated system that captures live audio feedback, uses an LLM to transcribe and summarize it, creates a ticket in Linear, and then triggers a pull request via a custom Slack bot.
Use ChatGPT's vision capabilities to analyze photos of your tasting notes. The AI will create a detailed taste profile, which you can then use to get personalized recommendations from any restaurant's wine menu.

with Claire Vo

Take clear photos of your handwritten wine tasting notes. Ensure any comments, preferences, or ratings (e.g., 'amazing buy') are legible in the images.
Upload the images of your notes to a multimodal AI like ChatGPT (using the mobile or web app) and ask it to determine your taste preferences based on the notes.
Here are a bunch of champagnes that I tasted, figure out from my notes what my taste preferences are.When you're at a restaurant, simply take a photo of the wine menu. Make sure the photo is clear and captures the names of the wines and their prices.
In the same chat conversation where you generated your taste profile, upload the picture of the wine menu and ask the AI for recommendations.
What would I like from this list? What are good values?
Create an automated system that captures live audio feedback, uses an LLM to transcribe and summarize it, creates a ticket in Linear, and then triggers a pull request via a custom Slack bot.

Use Cursor's AI to analyze your engineering team's usage data from a CSV. Automatically create user cohorts and generate a gamified playbook to help everyone become an AI power user.

Use an AI agent to automatically catalog physical items like toys and books from photos, creating a searchable inventory in a note-taking app. The agent can then connect these physical items to digital plans, like suggesting relevant toys for a lesson.
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