How AI Became Part of an Engineering and Product WorkflowHow AI Became Part of an Engineering and Product Workflow
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Intelliflow's avatar
Intelliflow Technologies
pro
• Sep 29
I ACCIDENTALLY CROSSED 5 BILLION TOKENS. 😳
And this screenshot made me realize how much my way of building has changed.
Across 4 OpenAI profiles:
→ 5.03B+ lifetime tokens → 690 conversations → Multiple 1+ hour engineering sessions → Hundreds of development workflows
And that's ONLY OpenAI.
Claude, Gemini and the rest aren't even included. 😂
But honestly, the number isn't the interesting part.
Over time, I stopped treating AI like a chatbot I ask for answers.
I started treating it as part of my engineering workflow.
→ Product architecture → UX & UI systems → Database design → Supabase → Computer Use → Implementation → Debugging → Testing → Browser verification → Production validation
Projects like Nivora Dental Studio, Intelliflow ERP, RealBot AI, RoboSTAR and Sequoia are where that workflow has turned into actual products and client work.
The biggest lesson I've learned:
AI doesn't replace the builder.
It amplifies the builder who knows what to build, why it matters, and how to verify it.
5 billion tokens is just the number.
The real story is what I built with them. 🚀
#AI #BuildInPublic #ProductDevelopment #SoftwareEngineering #OpenAI
OpenAIChatGPTcodex
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