AI product concept AI hackathon concept, not a shipped feature
Simplifying content deployment with AI
AI hackathon concept· Not a shipped feature

Overview
A prompt-driven concept that simplifies content creation, targeting, scheduling, deployment and analysis, and uses smart A/B testing to keep improving impact automatically.
- Context
- Getting content onto a screen meant moving through separate modules for creation, targeting, device assignment, scheduling, channels, deployment and analytics.
- My contribution
- I conceptualized a prompt-driven workflow that turns that fragmented experience into a single entry point, and introduced smart A/B testing that automatically updates content or schedules based on what performs best.
Problem or purpose
Previously, users had to manually navigate content creation, targeting, device assignment, scheduling, channel configuration, deployment and analytics across multiple modules.
What the concept responds to
- [What evidence established the problem, e.g. support themes, customer feedback, usage signals. Only what actually exists.]
My contribution
What I conceptualized and prototyped during the hackathon.
What I did
- Conceptualized a single natural-language entry point that initiates and automates the end-to-end publishing workflow.
- Introduced smart A/B testing so content or schedules update automatically toward what has more impact.
Who I worked with
- [Teams or roles you worked with, e.g. engineering, design, support. No names unless approved.]
Decisions & tradeoffs
Concept decisions
- [The key decision you made or influenced.]
Tradeoffs
- [The main tradeoff, what you chose not to do, and why.]
Outcome or current status
Estimated impact of the concept. It has not shipped, so this is not a measured result.
94% faster
Estimated reduction in time to get content onto a screen, from 8 minutes to 30 seconds
How the estimate was made
- [How the 8-minute and 30-second estimates were made.]
Expected benefits (not measured)
- Smart A/B testing keeps content and schedules improving after they go live, without manual rework.
Lessons
- [What you learned.]
Supporting visuals
