I've worked with Carlos for years. When people ask me for AI consultants in LATAM, I recommend him without hesitation.

I ship AI into your business without breaking what already works. Diagnosis, agents and features. For LATAM founders and CTOs.







Eight years of backend in Go plus hands-on AI consulting for SaaS in LATAM. From first diagnosis to AI features running in your product — fixed price by scope, USD, paid on milestones. No agency, no slides.
Book a free callAudit of your processes and product to find where AI generates the highest ROI. Deliverables: priority map, implementation roadmap, cost estimate.
Automate workflows with LLMs and agents — n8n, LangGraph, Claude/OpenAI APIs. Wired into your stack: Slack, HubSpot, WhatsApp Business, databases.

Build AI features inside your product: RAG over your data, copilots, semantic search, generation. Architecture, token economics, and observability included.
Standardize how your dev team uses Claude Code and other AI tools. Custom plugins, shared prompts, ROI dashboard. 5 weeks from chaos to measurable velocity.
With a strong history of successful projects, our portfolio showcases innovative thinking, strategic execution, and impactful design. Every solution is purpose-built to address unique client goals, delivering measurable results and long-term value across diverse industries.



Real feedback from founders, CTOs, and teammates.
I've worked with Carlos for years. When people ask me for AI consultants in LATAM, I recommend him without hesitation.

I've known Carlos since 2020 when we worked together at Manzana Verde. When the time came to bring AI into the product, we didn't hesitate to bring him in as a consultant.

He writes the code he ships and leaves my team in a position to maintain it. No middlemen, no vague promises.

He automated key processes with AI and the impact in hours saved was immediate. Fixed pricing, no surprises, and a consultant who thinks like a founder.

From the very first call he tells you what's possible, what isn't, and what it costs. No slides, no detours.

We started with an AI diagnosis and ended up shipping two features inside the product. From day one he worked with our repo, not with a PowerPoint.

We are proud to work with clients in multiple companies and give it for their positive feedback, suggestions and incredible support.

Buzz Desktop v0.5.18 shipped on August 21, 2026 with a wave of changes across desktop, workflows, and models. The project — github.com/block/buzz, Apache 2.0, ~30k stars — argues that a small team can put a coding agent in the workflow without re-architecting Slack+Linear+GitHub+CI. The difference from the rest of the agentic ecosystem is that the agent has its own Nostr keypair, not a permission flag. The two core crates (buzz-agent and buzz-dev-mcp) are written to be readable in an afternoon, per the repo's VISION_AGENT.md. If you care about real AI infra rather than theory, this is the most interesting case study of the month.
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A practical guide to turning a general-purpose AI agent into a specialized tool using skills: how to pick the right skill (or build your own), review permissions and provenance before installing, install it in your agent, test it, combine several skills, and maintain the installed set over time.
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Local AI or cloud for your SaaS? 5 variables, 4 scenarios with real numbers, recommendations by profile. Decide in 20 minutes.
Read more →Book a free 30-min call. Whether it's the next step or not, you walk away with a clearer roadmap.
Book free 30-min call