2026Gobrador — case study
- Client:
- Quince con Ochenta
- Summary:
- Public tenders that fit your company
- Results:
- 1.3M+ tenders analysed
- Fields:
- Product Design+SaaS
AI product design
AI product design: features, assistants and agents people trust
AI only adds value when people understand it and stay in control. I help teams decide where AI earns its place in a product and design the experience around it — clear inputs, explained outputs, sensible fallbacks and cost under control. With Quince con Ochenta, we can also build it.
Who it's for
- SaaS teams adding AI features to an existing product.
- Start-ups building an AI-first product or MVP.
- Companies automating internal processes with AI assistants or agents.
- Data platforms that want to turn information into recommendations.
What you get
- AI opportunity mapping: which tasks to automate, assist or leave alone.
- UX for AI features: prompts, inputs, states, errors and fallbacks.
- Explainable outputs and confidence: showing why, not just what.
- Human-in-the-loop flows and review queues.
- Design systems for AI interfaces.
- Build with Quince con Ochenta: agents, assistants and automations connected to your data.
Proof from the trail
2026
2026Quince con Ochenta — case study
- Client:
- Quince con Ochenta
- Summary:
- A product studio, not an agency
- Results:
- Gobrador in production
- Fields:
- Product+SaaS+AI
2025GTAI Wirtschaftsdaten Kompakt — case study
- Client:
- GTAI
- Summary:
- The digitalization of a great product
- Results:
- From PDFs to Web
- Fields:
- Web+Branding+Art Direction
202323degrees.io — case study
- Client:
- 23Degrees.io
- Summary:
- Product Design for a better storytelling
- Results:
- Useful Interfaces
- Fields:
- Product Design
How we'll climb
Every project follows the Journey to Success: Strategic Discovery, Vision Alignment and Impact Execution.
Questions about this service
What does an AI product designer do?
An AI product designer decides where AI genuinely helps users and designs the experience around it: how people give input, how results and their reasons are shown, what happens when the AI is unsure or wrong, and how humans stay in control.
How do you make AI features trustworthy?
By explaining outputs, showing confidence, keeping a human in the loop for important decisions and designing clear fallbacks. Gobrador, for instance, sorts tenders with a traffic light — fits, review, discard — and explains why.
Can you also build the AI feature?
Yes, through Quince con Ochenta, the studio I co-founded: we develop AI agents, assistants and automations connected to your data, with usage costs under control from day one.
Can we start with a workshop to find AI use cases?
Absolutely. A discovery session is often the best first step to map where AI saves time or adds value, and where it doesn't.