When running AI Skills Workshops and live training sessions—often lasting 2–3 hours—I’ve noticed that performance degrades over time. In hour one, everything runs smoothly. But by hour two or three, response latency increases and limits begin interfering with the flow.
As an educator and AI consultant, this causes me to pivot away from ChatGPT, switching models or tools mid-demonstration—meaning OpenAI loses eyeballs, credibility, and mindshare in front of an engaged, high-value audience.
The Problem:
- Trainers/educators face usage throttles or performance drops during extended workshops
- Limits affect the real-time demonstration of AI value
- Causes unnecessary workarounds and reduces ChatGPT’s primacy in learner minds
- Affects brand trust when the platform underperforms during a showcase moment
Proposed Solution:
Create a designated resource tier for:
- Educators
- Consultants
- Workshop Leaders
- Evangelists or AI Champions
This could be a flag or role that enables:
- Priority model access during designated workshop hours
- Sustained throughput across longer teaching sessions
- Potential API tie-ins for classroom modes or LMS-integrated GPTs
Why This Matters:
- These sessions introduce hundreds to thousands of new users
- When ChatGPT performs well, it becomes the tool of choice
- When it lags, we inadvertently teach people how to seek alternatives
This isn’t just a technical request—it’s a marketing and growth opportunity. Empower the people who are teaching ChatGPT to others in real-world business and education settings.