Inspiration
- Turning “understand this market” into minutes instead of weeks with the help of multiple Gemini Models.
What it does
- Five-step pipeline: industry in → taxonomy, segments, behavioral, competitive, Decision Jury → structured report (PDF/HTML); each agent gets only its direct input + summary.
How we built it
- Stack (Python, Streamlit, Gemini, Google AI Studio, Pydantic); Gemini Pro vs Flash; five agents + orchestrator + report builder.
Challenges we ran into
- Reliable JSON from the model (fences, trailing commas); keeping agents focused; rate limits (429) and retries; Jury prompt size.
Accomplishments that we're proud of
- Full pipeline from one string to report; clear agent separation; robust Gemini integration; usable UI and downloads.
What we learned
- System instructions + JSON format; Pro/Flash tradeoff; isolating context to reduce hallucination
What's next for Agentic Deep Market Research
- Adding a dedicated GTM agent (or agent phase) that consumes the research artifact and produces actionable go-to-market strategy positioning, channels, pricing signals, launch sequence, and success metrics so the pipeline goes from market understanding to execution playbook.
