If you attended the meetup and have been looking for all the resources I promised, you’re in the right place!
Slides
If you’re looking for the slides, you can find those right here.
Introduction
AI in the news
AI improves employee productivity by 66% – A snapshot of the kind of benefits we’re all supposed to be able to achieve with AI
These lawyers used ChatGPT to save time. They got fired and fined. – A Washington Post article about AI use gone wrong
The Four Stages of AI Adoption
- Crawl -> Off-the-shelf tools
- Walk -> Chatbots
- Run -> Advanced LLM techniques
- Fly -> Custom tools
Crawl: Off-the-shelf tools
Granola.ai – AI notetaker that transcribes your meetings and helps augment your notes, plus lets you share the transcript, notes and chat with the transcript after the meeting
ChatPRD.ai – A document assistant specifically for generating product requirements documents (PRDs), tech specs, and brainstorming new roadmap features
Walk: Chatbots
ChatGPT, Claude, and Gemini – The three different AI chatbots we discussed, all with different large language models (LLMs) running under the hood
Use Claude’s console to help you write better prompts or take a look at the following prompt engineering guides (depending on which model you’re using)
Run: Advanced LLM techniques
ChatGPT’s system instructions – More information on how to give ChatGPT system instructions to tailor its output
Claude Projects – More information on how to configure Claude with a knowledge base that you can re-use across chats about a specific client project
Fly: Custom tools
Retool Workflows – The tool we looked at to build our Stripe -> Slack customer information workflow
OpenAI API, Claude API, Gemini API – API documentation you can use to get started if you want to integrate LLMs into your project via code
Questions?
Send me an email any time at keanan@floorboardai.com. If you’d like to see this talk at a meetup near you (or virtually), please reach out!