01 / The researchUnderstand the business behind the product.
Each company starts with one core blueprint, bringing its products, audience, workflows and pricing into one clear picture. It helps buyers understand fit, and builders learn from patterns they can adapt to their own work. Sources and research dates show where the evidence comes from.
The name reflects the idea of understanding something through its building blocks. Our subject is AI businesses. We describe what public information supports, distinguish our interpretation from the company’s claims, and leave internal performance or technology unknown when we cannot verify it.
02 / SelectionOpen to suggestions. Selected for substance.
We identify useful AI businesses and explain the decisions and patterns readers can learn from. Readers and company representatives can also suggest a company.
We start with a small selection of established, useful AI products and the infrastructure around them. Specialist agencies can qualify when they show concrete AI work, a clear offer and enough public evidence to learn from. Relevance, distinctiveness and evidence matter more than a domain score.
03 / Company accessStay connected to the research.
Company representatives can verify a work email to access their workspace and see the status of our coverage.
Contributions and deeper company tools are planned. Anyone can already request a correction or raise a legal or privacy concern without an account. The desk decides what changes in the analysis.
04 / Backing and insightsUseful research first. Optional paid services later.
Backing is our proposed way for companies to pay for clearly labelled exposure. It is advertising, not investment, a quality score or an endorsement. Backing is not open yet; there are no payments or recurring charges on the current site.
We are also exploring deeper private reports on positioning, site structure, discoverability and workflow opportunities. Design-pattern studies may follow. These are planned services, not included benefits or available subscriptions.
Commercial placements will be clearly labelled, with sponsored links identified for search engines. Our research distinguishes company claims from the desk’s analysis and the evidence supporting it.
05 / Research methodA focused read, with clear limits.
We work from selected public pages: usually the homepage, products, pricing, documentation and relevant workflow or integration pages. We do not need to crawl an entire website to explain its core offer. We respect access restrictions and do not enter private customer areas.
AI can help organise evidence and draft the analysis. The desk checks each early-edition article before publication. Research dates are visible, and links open the original evidence directly. The source list records when we consulted each page. Automatic refreshes are not active. Our approach draws on Digital Applied’s work in marketing, automation, AI and user experience.