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From AI Prototype to Production
What it takes to turn an AI demo into a real product
AI has made it incredibly easy to build a prototype.
A few prompts, an API, some data and suddenly you have something that looks like a product.
But what happens when real users arrive?
Reliability. Security. Data quality. Evaluation. Integrations. Cost. Human oversight. Monitoring.
The gap between an impressive AI demo and a production-ready product is where many teams get stuck.
Join Streamlogic for a practical conversation about what it really takes to move from AI prototype production product.
We'll explore:
What changes between an AI demo and a real product
Where AI implementations typically break
How to design the right human + AI workflow
What needs to be engineered around the model
How to evaluate AI features before scaling them
Security, observability and production readiness
A practical 90-day roadmap from prototype to production
A practical discussion for founders, product leaders and engineering teams building real products with AI.
Who should attend: founders, CTOs, technical co-founders, product leaders, engineering leaders and anyone responsible for turning an AI idea into a production capability.
Bring your hardest AI product question. We'll bring the engineering perspective.
This event is a part of #SFTechWeeka week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com" data-next-head="
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