Todo empieza con una idea. Tal vez quieras comenzar un negocio o convertir un pasatiempo en algo más. O bien, es posible que tengas un proyecto creativo para compartir con el mundo. Sea lo que sea, la manera en la que cuentes tu historia online puede marcar la diferencia. No te preocupes por sonar profesional. Suena como tú. Hay más de 1500 millones de sitios web, pero tu historia es lo que lo diferencia del resto. Si vuelves a leer las palabras y no oyes tu propia voz en la mente, es una señal de que aún tienes mucho trabajo por hacer.
Preguntas frecuentes
Goal
Built a full-stack AI media platform that generates, verifies, and publishes wellness content at scale — designed to operate like a premium publication (NYT Health, WSJ) but at 1/250th the cost. 86 API endpoints, 11 specialized agents, 175 UI components, and a proprietary Evidence-Centered Content (ECC) system that scores every article on a 1000-point scale before publishing.
Why
Traditional digital publishing is broken: hiring writers costs $50K+/month for volume, fact-checking is manual and inconsistent, and health content carries regulatory risk (FTC/FDA). LIME solves this by treating content as a pipeline — AI generates, agents verify, algorithms score, humans approve. The vision: a media company that scales like software.
What worked
**Master Publishing Algorithm (MPA):** 10-variable weighted scoring (0-1000) covering topic value, content quality, SEO readiness, fact-checking, legal compliance, brand voice, visual assets, timing, distribution, and monetization **Health Claims Verification:** Automated FDA/FTC compliance detection with 5 evidence tiers (RCT, Meta-Analysis, Observational, Preclinical, Anecdotal) and character-position mapping for inline claim tracking **Signal Intelligence Pipeline:** 34-source monitoring with Topic Value Score (TVS) algorithm, signal deduplication via content hashing, and urgency classification (Immediate → Evergreen) **Thick Text Engine:** 5-dimension reader engagement scoring (Prediction, Agency, Rhythm, Repair, Continuity) with AI-powered insert suggestions and A/B testing framework **Agent Orchestration:** 11 specialized agents (Research, Writer, Editor, SEO, Social, Legal, Packaging, Scout, Scoring, Publisher, Synthetic Critic) with human-in-the-loop checkpoints and full audit trails **Production-ready:** 35K+ lines TypeScript, Prisma schema with 20+ models, role-based access (Admin → Writer), deployed on Vercel
Challenges
Backend infrastructure at 100% but UI integration incomplete — dashboards exist but wiring to live data is partial Agent ecosystem designed but autonomous execution not fully tested in production workflows Health claims detection needs expansion beyond current 25 claim categories Signal sources defined (34) but real-time ingestion pipelines need API integrations Thick Text scoring implemented but A/B testing framework lacks sufficient production data
Next step
Wire TransparencyDashboard and PipelineTracker to live workflow data Complete agent execution loop with cost/token monitoring per workflow Expand health claims database with PubMed/DOI citation verification Build real-time signal ingestion for top 10 sources (FDA, PubMed, industry news) Deploy Thick Text A/B testing with engagement metrics collection Add GraphRAG knowledge graph for cross-article entity relationships
Tools
**Tech:** Next.js 14, TypeScript, Prisma, SQLite/PostgreSQL, Tailwind CSS, Claude API (Sonnet 4), NextAuth.js, Compromise NLP, Vercel
**Scale:** 86 API routes | 175 components | 11 agents | 35K+ lines TS | 8 content types | 11 categories | 34 signal sources
**Economics:** ~$0.50-2.00/article vs $100-500 human-written | ~$200/month operational vs $50K+ traditional
