Build an automated workflow that uses a multimodal AI to research event attendees from a simple screenshot of a guest list, then generates a personalized prep document with tailored conversation starters.
with Claire Vo
Feed your application a screenshot of the event's guest list. An AI model with vision capabilities will perform Optical Character Recognition (OCR) to accurately extract the names of all attendees from the image.
Once the names are extracted, have a dedicated agent perform a series of automated actions for each person: a general web search, a specific LinkedIn search for professional history, and another targeted search for recent news or talks.
Provide personal context to the agent by feeding it simple markdown files. Include an about_me.md with your bio and communication style, and a webflow_products.md with company product info to generate highly relevant talking points.
The agent synthesizes all the research and personal context into a comprehensive, structured document. The final output should include a prioritized list of people to meet, personalized conversation starters, relevant industry topics, and venue details.
Follow Sahil Lavingia's method for delegating small but impactful maintenance tasks, like fixing an internal Slack report, to the AI agent Devin. This workflow shows how to use simple, clear prompts to fix code and update system prompts without distracting your engineering team.
Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.
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