Edu García Let's talk

Service · Seville and remote

Applied AI: agents, RAG and automation inside real processes

I design and build AI solutions for companies that want to remove manual work, build internal agents, query private documentation with RAG or embed language models into their own software.

AI agentsRAGPythonFastAPIAutomation

What I build

AI connected to data, process and business.

The difference isn't dropping a chatbot into a page. It's designing the flow, controlling inputs and outputs, validating results and measuring cost.

01

Applied AI consulting

Process analysis to find where AI saves time or reduces errors — and where it adds nothing.

02

Agents and internal copilots

Assistants connected to your data and tools, with rules, limits and a record of what they do.

03

RAG over private docs

Semantic search over your manuals, contracts or history, answering with your own information.

04

Document automation

Extraction and classification of data from invoices, delivery notes, emails and forms.

05

Integration in your software

Language models inside your application through APIs, without replacing your stack.

06

Computer vision

Image analysis applied to control, cataloguing or content verification.

FAQ

Common questions about applied AI.

What does applied AI actually mean?
Using AI inside real processes — support, documentation, analysis, automation or reporting — with measurable goals, rather than adding a chatbot to a website.
Can you build an AI agent for my company?
Yes, provided there is a clear process, enough documentation and defined limits. An agent needs context, rules, logs and controls to be useful.
What is RAG?
Retrieval-augmented generation: the model answers using your own documentation through semantic search, which reduces invented answers and keeps information under control.
Will AI replace our current software?
Usually not. The practical route is integrating it into the tools you already use, through APIs, automations or internal dashboards.

Which process should improve?

Send me the context, the volume of manual work and your current systems. I'll tell you what's worth automating and what isn't.