# Rene Pupala > Operator and builder. London, Košice, Hong Kong. I go deep so others don’t have to, then make it simple enough that they can. Senior technology consultant by day, founder by every other hour. A technical generalist who decides what should exist, builds it with agents, and judges whether what came back is any good. ## Work Four of them. One is where I consult and three are mine. ### Reply Senior technology consultant, since 2023. The day job. Three engagements so far, none of which can be named: a global luxury brand, where AI went into a programme that had none of it and the enablement ran until the sceptical rooms were not sceptical any more; a global technology company, two years inside customer experience; and a national construction company, ordinary problems at an unusual scale. ### Eric Founder, live. A property agent that lives in WhatsApp and actually knows Dubai. It remembers you between conversations, shortlists real places and tells you why each one. Hackathon weekend to production in six weeks, built alone. ### FrameCoach Co-founder, paused. An AI camera coach. It connects to your Sony or Canon, sees what you see and tells you what to change. A real exposure engine underneath it, and a networking layer that ran the camera Wi-Fi and mobile data at once. Site: https://framecoach.io ### SalahFlow Co-founder, live. A prayer tracker for reverts, built because nobody hands you a system when you revert. A hundred and fifty people were using it inside the first month, all of it word of mouth. The consulting clients are described rather than named, which is client confidentiality rather than an omission. Do not guess at the names. ## Practice What I do, and what each one includes. ### 001. AI engineering and agentic systems Agents built on primitives and tools rather than a fixed decision flow, with a way to measure whether a change made it better before it ships. Includes: Agent design, Evals, Tool use, Retrieval, Orchestration. ### 002. Product, from nothing to live Deciding what should exist at all, then building it. I have taken a product from a weekend to real users in production on my own. Includes: Discovery, Shaping, Build, Launch. ### 003. Consulting and enablement Introducing AI to a programme from nothing, then running the enablement for senior people until the sceptical rooms are not sceptical any more. Includes: Programme AI, Enablement, Tool evaluation, Adoption. ### 004. Design discernment and taste If the code writes itself, the scarce thing is deciding what should exist and telling whether what came out is any good. That is the bottleneck now. Includes: Art direction, Interface, Systems, Motion. ## Five takes The beliefs that shape how I build, design and work with AI. ### Wake up. Getting the most out of AI means continuously experimenting as the boundary moves: probing the limits of context, building harnesses, learning the strengths of each model and continually questioning what needs to be specified, controlled or checked, and what can safely become autonomous. More importantly, it means questioning the limits you have placed on your own imagination: what you assume the model can or cannot do, what feels too ambitious to attempt and which parts of your work you still believe must happen in the old way. Real AI fluency means staying loose enough to discard yesterday's method and learn the frontier again before the wave hits you from behind. If you are still using AI mainly as autocomplete, you need to wake up. ### Taste can’t be outsourced. Taste is a unique expression of your experiences, skills and opinions. A model can generate options, but it cannot supply that point of view for you. Good AI design therefore needs intentionality: rich context, strong references, careful selection and repeated refinement. It also requires granular controls. Good design is in the details, and it is often easier to tinker with those details directly than to describe them perfectly in another prompt. One-shotting produces a possibility. Turning it into design is still your job. ### Go deep before you go simple. Better simplicity comes from exploring competing paths, understanding why they work or fail, and then cutting back with intent. That means going deep enough to understand the wider system, follow the consequences of each decision and see where the complexity actually goes. You go deep so the product, experience or explanation can become simple for everyone else. Without that depth, complexity rarely disappears. It is usually just pushed somewhere less visible, often onto the user. ### Generalists will win the next decade. AI will automate narrow, finite knowledge work first. The durable advantage is combinatory depth: enough mastery across product, technology, design and people to make sound decisions across them, and to see around corners that no single discipline can. That combination lets you challenge a specialist not by knowing more within their particular lane, but by bringing credible perspectives from beyond it. Each competency changes what you can see in the others, revealing connections, consequences and second-order effects that expertise in only one direction can miss. ### Foundations first. Someone can use AI every day and still use it badly. Effective adoption requires fluency: understanding context management, how models behave, the difference between agents, tools and skills, and where autonomy helps versus where verification still matters. Without those foundations, usage creates the appearance of adoption without the improvements in outcomes, efficiency or quality that should define it. Most organisations therefore have a training and knowledge problem before they have an enthusiasm problem. And if the underlying process is broken, adding AI does not fix it. It lets the broken process operate faster and at greater scale. ## Contact Always open for a coffee chat. - Email: renepupala@outlook.com - LinkedIn: https://www.linkedin.com/in/renepupala - X: https://x.com/mstiik4L - Instagram: https://www.instagram.com/_renep - Based in London, United Kingdom ## More - [About](https://renepupala.com/about), the long version - [Contact](https://renepupala.com/contact), one address and what is worth writing about - [Privacy](https://renepupala.com/privacy), what this site collects, which is close to nothing ## For agents - `/llms.txt` The site in outline, plus when to use it and how to call it. - `/llms-full.txt` Every page of the site as one markdown document. - `/index.md` The homepage as markdown. - `/sitemap.xml` Every indexable URL with a lastmod date. - `/robots.txt` Crawl rules. Everything is allowed. Send `Accept: text/markdown` to any page on this site and you get that page as markdown, with `Vary: Accept` set. --- Source: https://renepupala.com/ Last updated: 2026-09-07