Software and AI consulting

Next in GenAI is a consulting company building practical systems around software, automation and AI.

What this work covers

Four focus areas.
One common thread.

Consulting led by experienced engineers working on real products, not theoretical frameworks.

Next in GenAI provides consulting for practical software, automation and AI-driven systems grounded in real-world use cases.

AI assistants
& automation

Systems that automate workflows, assist decision-making and connect data across tools.

Custom
software

Web platforms, internal tools and APIs designed for real operational needs.

LLM
systems

Retrieval, ranking, evaluation and prompt design for reliable AI behaviour.

Product
prototyping

From idea to working system, focused on validating real-world usage fast.

Live platforms in production

~100%

Real-world use cases, no demos

Based in Portugal, working across Europe

Selected systems

Systems in use

Platforms built for real-world usage.

Practical software and AI support around operational workflows, compliance processes and market intelligence.

ConcursosPro

Procurement

AI-assisted platform for public procurement in Portugal. Helps companies identify relevant opportunities, analyse viability and understand competition before bidding.

Live in production Visit ConcursosPro →

MyEGAR

Compliance

Platform for managing e-GAR workflows and regulatory processes. Designed to simplify waste transport documentation and compliance.

Live in production Visit MyEGAR →

Technical insights

Notes from real implementation.

Writing on software, AI systems and practical delivery patterns.

The insights section keeps a technical record of design choices, evaluation approaches and lessons from production-oriented work.

Apr 25, 2026

When Anthropic Launched Claude Design, Figma Dropped 7%. Here’s What I Found Using It

I’ll be honest. Last week, when I first heard about Claude Design, I was genuinely curious. Is Anthropic doing to design what it did to code?After Anthropic reshaped how developers write software with Claude Code, and how knowledge workers operate...

Apr 12, 2026

Claude Mythos Might Break Cybersecurity. But Not in the Way You Think.

I’ll be honest with you. When I first read about Claude Mythos, my reaction wasn’t awe. It was a question I couldn’t shake.Not “is this real?” The capabilities are real. The vulnerabilities it found are real. A 27-year-old flaw in OpenBSD, a 16-ye...

Mar 15, 2026

I Was Wrong About the 10x Developer: AI Didn’t Amplify Us. It Replaced Us.

One year ago I wrote that AI would turn us all into 10x developers. I was wrong and what actually happened is more interesting.About a year ago, I wrote an article I’m going to reference quite directly here. The title was “How AI is turning all de...

Feb 17, 2026

GPT-5.3 and Claude 4.6: How Self-Improving AI is Reshaping Technology

In early February 2026, the artificial intelligence industry witnessed one of its most significant moments in recent years. Almost simultaneously, OpenAI and Anthropic released two flagship models: GPT-5.3 Codex and Claude Opus 4.6.At first glance...

Feb 3, 2026

Thinking About Trying OpenClaw? Do It Safely (Without Buying a Mac Mini)

You’ve probably heard about OpenClaw (or one of its previous names like Clawdbot or Moltbot). It’s everywhere right now.People are calling it a “personal AI employee”. Demos show it reading emails, controlling browsers, sending messages, running s...

Jan 16, 2026

Claude Cowork: 5 Lessons for Builders Watching Agentic AI Grow Up

This is my first article of 2026, and honestly, I didn’t expect it to be sparked by Anthropic.I’ll be upfront: I’ve never been a huge fan of Anthropic. No dramatic reason. No ideological stance. I just… wasn’t. I respected the work, sure, but Clau...

Contact

Discuss a system, workflow or product idea.

Consulting support for practical software, automation and AI-driven systems.

Share what you are building, what is blocked, or what needs to improve. The response can focus on architecture, workflow automation, AI system design or product validation.

Useful context to include

The challenge
The current workflow or product problem you're trying to solve.
What's already involved
Systems, tools or data sources already in the stack.
Desired outcome
The result you want to validate, ship or improve.

Available for new projects