Blog de Ingeniería
Artículos técnicos sobre IA en producción. Escritos por ingenieros que la entregan.
Análisis profundos sobre integración de IA, arquitectura LLM, sistemas RAG y las decisiones de ingeniería que separan demos de features en producción.
From AI Consulting to SaaS Product: The $10M Playbook
How AI consulting firms evolve into product companies. The 4-phase framework from services to SaaS, the data patterns that reveal product opportunities, and why the best products come from consulting.
Why the Best SaaS Companies Pay $50k+ for AI Integration (Not $5k)
The hidden costs of cheap AI integration. What you actually get for $5k vs $50k, the ROI math that justifies premium pricing, and the 5 questions to ask before hiring any AI consultant.
3 AI Consulting Niches That Are Exploding in 2026 (And How to Position for Them)
The 3 AI consulting niches seeing explosive demand in 2026: regulated document processing, enterprise RAG systems, and AI support automation. Market signals, pricing, and the consulting-to-SaaS evolution.
Building a Production RAG Pipeline: From Ingestion to Response
Step-by-step guide to building a production RAG pipeline. Covers document processing, chunking, embedding, indexing, retrieval, and response generation — with code examples and architecture diagrams.
The High-Ticket AI Consulting Sales Funnel: From Cold Traffic to $50k Deals
The complete B2B sales funnel for closing $30k-$80k AI consulting deals. From technical content to architecture blueprints to signed proposals — with conversion metrics at every stage.
Token Optimization: How We Cut LLM Costs by 63% Without Losing Quality
The 8 token optimization techniques that reduced a production LLM system's costs from $8,700/month to $3,200/month. Each technique includes implementation details, expected savings, and quality impact.
The AI Consulting Proposal Template That Closes $50k+ Deals
The complete proposal structure for high-ticket AI consulting projects. Executive summary, problem statement, solution architecture, deliverables, timeline, and pricing — with examples and common mistakes to avoid.
LLM Observability: Monitoring What Your AI Is Actually Doing
The complete guide to LLM observability in production. Covers the 12 metrics you need, distributed tracing for AI, anomaly detection, cost dashboards, and the alerting rules that catch problems before users do.
Choosing the Right LLM for Your SaaS Product: Claude vs GPT vs Open Source
A practical comparison of LLM providers for SaaS integration. Covers performance benchmarks, pricing, latency, reliability, and the decision framework for choosing between Claude, GPT, and open source models.
AI Integration Checklist: 23 Things to Verify Before Going to Production
The production readiness checklist for AI features. Covers reliability, observability, cost controls, security, and user experience — everything your team forgets until something breaks.
AI Integration Architecture: 4 Patterns That Scale in Production
Stop building AI features that break at scale. Learn the four architecture patterns used by production SaaS companies to integrate AI reliably — with code examples, trade-offs, and real failure modes.
AI Product Development: From Idea to Production in 30 Days
The complete framework for shipping AI features fast. Covers scoping, architecture, development sprints, evaluation, and the production hardening that turns an AI experiment into a reliable feature.
AI Consulting for SaaS: What to Expect and What to Avoid
The honest guide to hiring AI consultants for your SaaS product. What good AI consulting looks like, red flags to watch for, how to scope engagements, and what results to expect.
LLM Architecture for Production: A Systems Engineer's Guide
The complete guide to building production LLM systems. Covers API gateway design, model routing, fallback chains, token management, caching, observability, and the architecture decisions that separate hobby projects from production systems.
How to Integrate AI Into Your SaaS Product Without Rewriting Your Codebase
A practical guide to adding AI features to existing SaaS products. Learn the integration patterns, architecture decisions, and production considerations that separate successful AI rollouts from expensive failures.
RAG Architecture: The Definitive Guide for SaaS Engineers
The complete guide to building production RAG systems. Covers ingestion pipelines, chunking strategies, embedding models, vector databases, retrieval patterns, re-ranking, and the evaluation framework that ensures quality.
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