Agentic AI · May 2026 - Jun 2026
Trend Pilot
An agentic AI assistant that helps small creator teams catch trends early, decide what to film, and ship as a team - the multi-agent "Agentic Trend Orchestrator," owned end-to-end from architecture through CI/CD.
The problem
The creator economy is a $1.3 trillion opportunity, but the tooling targets big brands and agencies. Roughly 60% of creators are small teams who get left behind. By the time a 2-3 person team spots a trend, debates it over Slack, and coordinates a shoot, the idea has changed and the trend is gone - with messy workflows and unclear ownership along the way.
Who it's for
- Creator teams deciding what to film this week.
- 2-3 person teams coordinating shoots without the Slack chaos - the AI assigns tasks and tracks owners.
- UGC creators delivering brand deals on tight deadlines across platforms.
- Small agencies managing 3-10 creator accounts.
What I built
- Trend detection - a multimodal pipeline that surfaces relevant, rising trends for a creator's niche.
- AI chat assistant - answers "what should I shoot?" and "how good is what I shot?"
- Task detect & auto-assignment - turns a chosen trend into tasks, assigns owners, and tracks updates.
- Script generation - drafts shoot-ready scripts from a trend.
- Video upload & analyze - ingests a clip and evaluates it before it goes live.
How it works
A multimodal trend-detection pipeline ingests audio, video, and text, transcribes and embeds it, and stores vectors in Milvus-lite. Retrieval feeds a GPT-4o VLM reasoning layer that drives recommendations, scripts, and task orchestration. The product is a multi-agent system with persistent memory built on FastAPI + Next.js + Docker and shipped through a CI/CD pipeline.
The value (illustrative)
A modeled scenario from the product pitch - a food creator with a team of three:
Tech
Full project report
Product deck covering the problem, target users, multi-agent architecture, GPT-4o VLM trend pipeline, and modeled ROI for creator teams.