EVERYWEAR covers the specific intersection where technology becomes fashion, identity, and cultural signal. The WTI score is how we measure what matters — and what doesn't.
The Wearable Technology Intelligence score is a proprietary editorial methodology for identifying cultural signal in wearable technology coverage. It is not a popularity ranking or a traffic metric. It measures whether a story has genuine cultural, brand, or identity stakes — not just whether it mentions a wearable device.
Every article that enters the EVERYWEAR pipeline passes an editorial gate before it is scored. The gate is a single question:
An article must satisfy both halves. Technology coverage that ignores cultural stakes fails. Fashion coverage that mentions a wearable but has no editorial angle on what it means for the industry also fails. The overlap — stories where brand identity, desirability, cultural positioning, and technology intersect — is the space EVERYWEAR occupies.
This gate runs on every article before scoring begins. It targets a 65% rejection rate — the majority of wearable technology coverage is not a wearable technology cultural story. A lower rejection rate means the gate isn't holding. A higher one means relevant stories are being filtered out.
Every article that passes the editorial gate receives a WTI score from 0 to 100. This is a composite of five components, each measuring a different dimension of editorial value. The score determines placement across all sections of the site — leaderboard, feeds, category rankings, and the weekly briefing.
A score of 70 or above indicates a strong, culturally relevant article. Top scores typically land between 78 and 88. The theoretical maximum is 100, but multi-component scoring makes it rare — a perfect score would require a very fresh, very relevant, very brand-rich article from a highest-authority source. In practice, the score is a quality signal, not a competition.
Every article is classified against eight categories using keyword matching across title, preview text, and URL. An article can match multiple categories — a review of bone-conduction earbuds with heart rate tracking sits in both In the Ear and Body & Health. Category classification is updated continuously as new product types and vocabulary emerge.
EVERYWEAR does not aggregate every wearable RSS feed. Source selection is an editorial decision — fewer, better sources produce a more signal-rich feed than broad aggregation. Each source is selected because it has a documented editorial voice, a track record of original reporting, and relevance to the Fashion × Culture × Technology intersection.
Source quality is tracked continuously. Each publication's average WTI score across all articles is logged daily. A source that consistently produces low-scoring articles — typically because it has drifted toward buying guides, spec sheets, or promotional content — is a candidate for removal. Sources that consistently surface culturally significant stories before mainstream coverage are evaluated for promotion.
Each edition's WTI Signal — the daily editorial opening — is generated by Claude Opus, Anthropic's most capable language model, using the day's top-scoring articles. The model is prompted specifically to identify the underlying cultural, brand, or identity story beneath the surface news — what the day's coverage means for the intersection of fashion, technology, and culture, not just what happened.
The WTI Signal is not a summary of the day's top stories. It is an editorial interpretation — a position. It should read like something a human editor with a strong cultural intelligence background would write. When it does not, it is edited. The editor's note on each edition reflects Mike Litman's own reading of the day's coverage, layered over the AI-generated signal.
Article-level "So what?" implications — visible in each card's score breakdown — are generated by Claude Sonnet across the top articles daily. These are designed to answer the question a culturally intelligent reader would actually ask: not "what is this product" but "what does this mean for the industry, the brand, or the consumer."
If the AI step fails for any reason, a rule-based fallback generates a plain signal from the top article's metadata. The source — AI or rule-based — is always disclosed in the edition metadata.
EVERYWEAR maintains a public prediction ledger — specific, falsifiable calls about where wearable technology culture is heading. Each prediction is a cultural bet, not a product prediction. The question is not "what will Apple announce" but "what cultural shift will this product trigger."
Every prediction has a deadline, a confidence level, and a signal note explaining the evidence behind it. Resolved predictions remain on the ledger with their outcomes — hit or miss. Wrong calls stay on the record. The hit rate is public and updated in real time. This is editorial accountability: EVERYWEAR's credibility as an intelligence platform depends on the accuracy of its predictions over time, not its opinion of its own accuracy.
The pipeline scans top articles daily for entity matches and resolution-signal language — flagging potential resolutions automatically. Final resolution is always human editorial judgement.
View the full prediction ledger →
The WTI score produces a continuous, structured signal about brand cultural momentum in the wearable technology space. Every article is tagged with the brands it covers. Every brand accumulates a rolling WTI score based on the average quality of coverage it receives — not just volume of mentions, but the cultural weight of those mentions.
Brand momentum data — streaks, velocity shifts, high-water marks — is tracked across each pipeline run. When a brand hits a new WTI high, it reflects genuine cultural momentum: coverage from high-authority sources, brand signal, and editorial depth converging at the same moment.
EVERYWEAR is edited by Mike Litman — a strategist and cultural intelligence researcher with 15 years of experience at the intersection of brand, technology, and culture. The pipeline is automated; the editorial judgement is not. Every prompt, threshold, source decision, and prediction reflects a human editorial position about what matters in wearable technology and why.
EVERYWEAR is a product of Cultural Capital Labs. It is independent — no brand relationships, no sponsored placements, no affiliate revenue. The WTI score is not for sale.