ChatGPT and OpenAI API solutions: 👑 My Favourite Implementations

on YouTube ↗01h 09m

" summary

Claims that Custom GPT setups cut weeks of work to hours and that some clients see 10x productivity gains, with about 60% of the room on paid GPT subscriptions. Shows non-developers building Custom GPTs for meetings, marketing and image rules. Demonstrates an enterprise pipeline using Semantic Kernel to scan emails and pull requests for reviewers. Presents a concrete automation called booking Pro that a developer builds in two hours and drops booking time from eight minutes to thirty seconds, and a site chat driving ~400 chats/month.

AI-written summary · about

" chapters (18)

1. 0:00Introduction
2. 3:22Company AI journey
3. 7:39GPT model updates
4. 10:34Optimizing ChatGPT
5. 14:01Introducing GPTs
6. 18:19Assistants and API solutions
7. 21:31AI copilots in enterprise
8. 24:20Microsoft Recall privacy
9. 27:31Apple Intelligence privacy
10. 31:47AI in healthcare
11. 34:42No-code AI strategies
12. 43:58Custom GPTs for all
13. 49:16Automating workflows
14. 55:55Semantic Kernel enterprise
15. 57:41Future of AI
16. 1:00:16AI as genie
17. 1:03:27AI to autonomous agents
18. 1:07:59Closing and Q&A

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