ChatGPT and OpenAI API solutions: 👑 My Favourite Implementations
summary
Claims that custom GPT setups deliver production-ready features in hours are backed by examples: a booking assistant built in 2 hours cuts an 8‑minute Dynamics workflow to 30 seconds; an enterprise system called Eagle Eye ingests 320,000 emails across 106 employees, makes 166 API calls for analysis, surfaces who approves what, and runs at negligible incremental token cost; Copilot/SQL tools recommend indexes and explain slow queries; Copilot statistics show ~46% of code authored by AI.
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chapters (16)
- 0:00AI journey introduction
- 3:45Current AI news and tools
- 8:02Custom GPTs and agents
- 11:00Azure AI and infrastructure
- 12:46Copilot for Azure SQL
- 15:56AI in healthcare diagnostics
- 20:22No-code AI prompting
- 25:01Implementing AI chatbots
- 27:28Low-code custom GPTs
- 31:09Custom GPT use cases
- 37:00Dynamics CRM automation
- 40:20Enterprise solutions: Eagle Eye
- 46:16Eagle Eye implementation
- 55:14AI global impact
- 59:08Future AI coding trends
- 1:04:23From Oracle to Genie
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