Nervo — an autonomous AI marketing department, not another content generator
The problem: Small and mid-size businesses can't afford a marketing team, but marketing today requires one — a strategist, copywriter, designer, SEO specialist, ad optimizer, and analyst, each using a separate disconnected tool. The result is either expensive agencies or founders cobbling together ChatGPT prompts with no strategic coherence between the pieces.
The solution: Nervo takes a single input — a business's website URL or brief — and runs it through a coordinated multi-agent pipeline that mirrors a real marketing team's workflow, not a single LLM call:
Research agent — pulls the business's positioning, scrapes 2-3 real competitors, and identifies the actual customer segment from public signals (not assumed personas).
Strategy agent — converts research into a channel plan, messaging pillars, and a content calendar, grounded in the specific business's category benchmarks.
Content generation layer (parallel agents) — copy agent for ads/email/social, visual agent for on-brand creative, SEO agent for blog/meta content — all constrained by the strategy agent's output so tone and positioning stay consistent across channels.
Personalization agent — takes the generated content and produces segment-specific variants (e.g. price-sensitive vs premium-seeking customer messaging) rather than one-size-fits-all copy.
ROI prediction dashboard — every asset ships with a predicted performance delta, benchmarked against category-average CTR/conversion data, so the output isn't just "content" but a business case a founder can act on.
What makes this defensible, not a gimmick: the agents pass structured, typed outputs to each other — this is a pipeline with memory and constraints, not five independent prompts glued together. A change in the research findings genuinely propagates through strategy, content, and personalization. That's the technical bar most hackathon submissions won't clear in 72 hours, and it's exactly where a dev-heavy team with agent/RAG experience has the edge.
Why it fits the brief precisely: it hits every listed track — content engine, automation, personalization, and analytics — as one coherent product rather than five shallow features, and it leads with measurable ROI impact, which the rules explicitly require and most teams will treat as an afterthought.
Proof of real-world viability: we will demo live against an actual small, unpolished business (not a fabricated demo brand), showing the system handle messy real-world input end-to-end — from raw URL to launch-ready, ROI-scored campaign assets — in minutes.
Deliverables at submission: working deployed product, live demo on a real business, generated campaign assets, ROI dashboard, pitch deck, and demo video — matching every required deliverable in the hackathon brief.
