// Applied AI, no hype

I build AI products that make it to production. Then I show you what happens after the demo.

I am Migue, a senior developer with 7+ years building software for companies. I document architecture, costs and failures from real products, and help teams apply AI without buying the hype.

1 email per week. No spam. Leave anytime.

See real projects
7+ years building software
Applied AI in production
Open process, real numbers

Right now

Two products. Two problems that do not fit in a tutorial.

Open case

Work with me

AI matters when it changes an operation, not when the slide deck ends

I work directly with companies on two fronts: I build automations and prepare teams to use them with sound judgment.

You answer the same question twenty times a day. You copy data from an email into a spreadsheet. You chase invoices, reminders and reports a machine could handle alone.

01AI automation

Stop copying by hand what a machine can move for you.

I review your operation, prioritize the process with the clearest return, and build the automation around the tools your team already uses.

  • Diagnosis with scope and numbers
  • Implementation with n8n, agents and your APIs
  • Monitoring, documentation and maintenance

Published prices · Limited capacity

See services and pricing
02AI training for companies

Your team does not need another talk about the future of AI.

We start with a real company process, work through it in a practical workshop, and leave behind a playbook the team can repeat without depending on me.

  • Team and use-case diagnosis
  • Practical workshop adapted to the business and skill level
  • Adoption plan, guardrails and follow-up

Remote · ES/EN · Tailored program

Book a diagnostic

Three ways to work with me

Automation diagnosis
US$250one-time

≈ COP 1,000,000

I review your operation, find the 3-5 tasks eating most of your hours, and deliver a prioritized plan with estimated hours saved and tooling costs.

  • 90-minute session + process review
  • Prioritized plan: what to automate first and why
  • Estimated hours saved per automation
  • Credited toward setup if you move to implementation
Implementation
US$500 – 1,500setup, by scope

≈ COP 2 – 6 million

I build the automation end to end with n8n, AI agents and your current tools. You get documentation and a short how-to video for your team.

  • Automation running in your real operation
  • Integration with your tools (email, WhatsApp, Sheets, CRM)
  • Documentation + short usage video
  • 30-day guarantee: if it breaks, I fix it at no cost
Capacity: 3 clients max
Monthly retainer
US$300 – 750per month, fixed scope

≈ COP 1.2 – 3 million

I maintain, monitor and extend your automations every month. When your tools change, I adjust things before you notice.

  • Monitoring and fixes included
  • Improvement hours every month (agreed scope)
  • Priority response
  • No lock-in: cancel with 30 days notice
Distributed systems & architectureModern web applicationsCloud & infrastructureAI integrationComplete SaaS products

I take at most 3 retainers at a time, so I can respond fast and with quality. This is not an agency: you work directly with me.

Recent work

Real products, difficult parts included

These are not Dribbble concepts or conference demos. They are systems with users, billing, migrations and failures that need fixing on a Monday morning.

IntelligentVideos.ai

Case 01 · B2B SaaS

IntelligentVideos.ai

Live product

A platform that turns URLs and documents into AI avatar videos, GEO packages and complete publish-ready pages.

Visit IntelligentVideos.ai

My work

I build and maintain the web product and backend: authentication, credit billing, generation queues, Claude, Tavus, Bunny Stream and Stripe integrations, plus cost observability.

What it already solves

Video Creator, GEO Optimizer and Page Transformer share one account, one credit system and an asynchronous flow that delivers video, code and content.

  • 3 products on one credit system
  • Asynchronous generation and retries
  • Subscriptions, payments and measurable usage

Stack and systems

Next.js 16Express 5PostgreSQLBullMQClaudeStripe
Recovery Care Solutions

Case 02 · Health marketplace

Recovery Care Solutions

Mobile app and migration in progress

A bilingual platform connecting patients with recovery homes and services for medical travel.

Visit Recovery Care Solutions

My work

I built the React Native client and am now replacing the legacy backend with a TypeScript API using onion architecture, role-based authorization, SQL migrations and tests against the previous system.

What it already solves

The web platform already supports stay search and bookings. The mobile app is in pre-launch, while the new API advances route by route without breaking current flows.

  • Bilingual ES/EN experience
  • Patient and host workflows
  • Measurable parity during migration

Stack and systems

Next.jsReact NativeExpress 5PostgreSQLPostGISStripe

Also built and operating

Parqando

Parking management with an Android operator app, web dashboard and paying customers.

Own product · Astro · React Native · Node.js

Visit Parqando

Warrior Tracker

Mobile-first habit tracking with leagues, streaks, statistics and rankings.

Own product · Next.js · Prisma · PostgreSQL

Open Warrior Tracker

Building in public

What I'm building and studying right now: production-grade systems, not just POCs.

Certification path
AWS Solutions Architect Professional Path

Building production-grade serverless architectures on AWS and exploring multi-tenant SaaS patterns with Lambda, API Gateway, and RDS Aurora. Studying cost optimization strategies for bootstrapped startups. Target: AWS SA Professional certification (2026).

Serverless architectures (Lambda, API Gateway)
Multi-tenant SaaS patterns, RDS Aurora
Cost optimization for startups
Building
AI Knowledge Assistant (RAG Project)

Stack: Next.js frontend, FastAPI backend, AWS Lambda, PostgreSQL. Implementing semantic search over internal documentation and experimenting with prompt engineering and retrieval optimization.

Next.js, FastAPI
Semantic search over internal docs
Prompt engineering and retrieval tuning
Shipping
LLM Integration in Production Systems

Integrating OpenAI and Anthropic APIs into existing TypeScript/Node.js services. Building reusable AI feature modules for SaaS applications with focus on context management, token optimization, and error handling at scale.

OpenAI / Anthropic APIs, TypeScript & Node.js
Context management and token optimization
Production error handling at scale
Studying
MLOps for Product Engineers

Learning AWS SageMaker, model deployment patterns, and monitoring. Exploring fine-tuning workflows with Hugging Face and LoRA/PEFT. Target: AWS Machine Learning Specialty certification (2026).

AWS SageMaker, deployment and monitoring
Hugging Face + LoRA/PEFT fine-tuning
MLOps patterns for product teams
Architecting
Serverless AI Architectures

Designing cost-effective AI-native SaaS architectures. Comparing serverless vs. containerized inference workloads and building deployment pipelines for LLM-powered features.

AI-native SaaS architecture design
Serverless vs. containerized inference
Deployment pipelines for LLM features
Miguel Ángel Jimenez

The person behind the code

I am Migue. I build from the field.

I have spent 7+ years building software that lives in production: TypeScript, React, Node.js and AWS across retail, IoT, telecom and SaaS.

Today I work on AI products with the uncomfortable parts included: authentication, billing, queues, observability, support and users who do not read the manual. The demo is usually the easy part.

I also teach applied AI every week at a programming academy and build my own products in public. That is where everything I share comes from: real decisions, real costs and failures that left a scar.

Does your company need to build, automate or prepare the team to use AI with sound judgment? Let us discuss the problem before discussing tools. And if what you need is a senior remote developer (cloud + AI) on your team, write to me too.

Core technologies

  • TypeScript
  • React
  • Next.js
  • Node.js
  • AWS
  • PostgreSQL

Working on now

Claude APIn8nRAGAgentic Patterns
Experience7+ years
IndustriesRetail, IoT, health and SaaS
FocusDemo to production

A note from the field

The email I wish I had when I started working with AI

Once a week I share one real product decision: the code, the cost, what broke and what I would do differently.

  • One deep piece, not a news roundup
  • Code, templates and automations you can reuse
  • The failures stay in; polishing them helps nobody

1 email per week. No spam. Leave anytime.

When you subscribe you get my n8n template: an agent that receives leads, classifies them with AI, and emails you a summary.

Contact

Tell me what is slowing your team down

You do not need to arrive with the solution defined. Describe the process, bottleneck or what the team needs to learn.

We can discuss

  • Operations automation with n8n + AI
  • Agents, RAG and AI product features
  • Practical AI training for teams
  • An honest diagnosis: what to automate and what not to
Booking the diagnostic starts here
I typically reply within 24 hours to arrange a first conversation.