😂 Honestly, I didn’t set out to build a public product.

I built ALAN OS for a very practical reason: my own design team was spending too much time moving information between tools, checking whether a render still matched the floor plan, and rebuilding the same decisions for every new view. I wanted one place where the project could stay coherent from the first conversation to the final handoff.

The first version is now a working, end-to-end spatial design workbench.

Here is the flow:

• Project brief — capture who will use the space, how they live, what matters to them, the city, the area and the real budget before talking about style. • Plan analysis — turn a floor plan into a clear set of walls, openings and functional zones, with a confidence check and a human confirmation step for uncertain dimensions. • Spatial model — keep one shared model as the source of truth, so renders, 360° views and presentation pages are based on the same geometry. • Style master — record the project’s palette, materials, lighting, camera language and furniture identity, then lock that “style DNA” before batch rendering. • Render set — bind camera points to the model and generate a consistent set of views instead of a collection of unrelated images. • 360° panorama — move from a fixed camera into a roamable scene while keeping the same doors, views, materials and furniture positions. • Presentation & handoff — turn the confirmed design decisions into a cleaner package that a client or team can actually review and use. • Cost estimator — calculate design and construction fees from area and unit rates, with room for discounts, furnishings, allowances and tax when needed.

The task queue and consistency gate are there to make the process visible. You can see what is running, what is locked and what is waiting. If the geometry, style master or camera coordinates drift, the batch is meant to pause instead of quietly producing a beautiful but incorrect image.

The cost page is already working in USD. For this 286 m² example:

Design: $200/m² → $57,200 Construction: $2,000/m² → $572,000 Total: $629,200 Blended rate: $2,200/m²

This is still v1, but it is already capable of supporting the full workflow. It is not a magic “make me a house” button, and it is not meant to replace design judgment. It is a way to keep the judgment, the geometry, the images and the budget connected so the team can spend more time designing and less time repairing handoffs.

The next layer I want to add is the part that makes a project truly ready for delivery: a detailed soft-furnishing schedule, lighting plans, water and electrical (MEP) layouts, and a clearer roll-up of those items into the total project price. I also want the calculator to handle currency exchange rates and tax rules, so a project can be priced consistently across countries instead of being rebuilt in a spreadsheet every time.

I built it for my own studio. The unexpected part is that other people started liking the idea too. That has me thinking about whether ALAN OS should eventually be open source. I haven’t made that decision yet.

If you have a good idea, a workflow pain point, or a feature you would genuinely use, please leave a comment or send me a message. I’d really like to hear your thoughts and build the next version with the people who will use it.

I like how ALAN OS treats the spatial model as the source of truth instead of another isolated render tool. The handoff from brief to style DNA to consistent views feels like a genuinely thoughtful systems workflow.

I came across a UI I designed more than 2 years ago, and it made me think about how much AI has changed the design process. This was an eSIM product where we needed to show different plans for different countries. I wanted each country to feel unique, so I used: → Country flag colors → A recognizable landmark → Travel-related visual context Today, this kind of work is much easier with AI. You can generate variations, explore visual directions, find references, and iterate much faster. But when I designed this 2+ years ago, almost everything was manual. I had to research each country → Find the flag → Search for popular landmarks → Figure out which landmark would actually mean something to a traveler → Download and prepare the assets → Then test how everything worked together inside the UI. It took days. Looking back, I don't think AI is making design “easy.” It is making the execution faster, and that's an important difference. The designer still needs to decide: What should we show? Why should we show it? Which option is actually relevant to the user? AI can help us get to the answer faster. But the quality of the answer still depends on the thinking behind it.

The country-by-country framing is a smart way to make a utility product feel personal. I especially like how the color-coded plan matrix turns a dense comparison into something scannable.