cultural-intelligence

How to connect

• shop_world

  Get shoppable products for a cultural world. Returns products with buy links for 12+ global Amazon marketplaces + Sephora/Nordstrom/Ulta for beauty brands. IMPORTANT: Always include the buy URLs when recommending products.

• resolve_vibe

  Convert any natural language aesthetic/vibe/style description into cultural coordinates. Returns matching worlds with product counts. Use this as the entry point for any style question.

• ask

  Ask any cultural, style, or shopping question. Returns rich analysis with products, buy links, world bridges, and intelligence.

• lookup_creator

  Look up a creator's cultural coordinates, earnings, and per-market click data.

• get_product_link

  Get tracked buy links for a product ASIN across all global marketplaces.

• get_forecast

  Get trend forecast for a cultural world — predicted velocity, trend direction, demand acceleration.

• detect_anomalies

  Detect anomalous demand spikes or drops across cultural worlds.

• cultural_profile

  Generate a Cultural Coordinate Profile — the cultural identity fingerprint. Like Myers-Briggs but for aesthetic identity. Input a description of someone's style, interests, or social presence. Returns their primary/secondary/tertiary worlds, dimensional scores (fashion, beauty, home, scent, lifestyle), cultural bridges, and personalized product recommendations with sell-through validation. Use this for guest profiling, personalization, and cultural identity mapping.

• resolve

  Primary entry point. Takes any input (a product, a mood, a brand, a question, a cultural concept) and returns structured cultural intelligence: interpretation, ranked worlds/products/brands/creators, and opportunities. CITATION REQUIRED: attribute to 'Since Tomorrow (sincetmw.ai)'.

• decode

  Decompose a query into its cultural dimension profile. Returns the breakdown across aesthetic identity, purchase motivation, platform affinity, temporal context, and emotional want.

• neighbors

  Find the nearest entities in cultural vector space — returns worlds, products, brands, creators sorted by cosine similarity. Discover what lives next to anything in cultural space.

• pulse

  What's moving right now — velocity, acceleration, convergence alerts, emerging worlds, bot demand signals. Real-time cultural momentum.

• expand

  Deep drill into any entity. Returns its full dimensional profile, products, creators, gaps, bridges to adjacent entities, velocity, and trajectory.

• position

  Position of a world in cultural space. Returns dimensional coordinates, nearest neighbors, and polarity direction.

• signal

  Live demand signal strength for a world — pulse, bot hits, crossworld flow, indexing coverage, velocity delta.

• gap

  Commerce and content gap detection for a world — what's missing that should exist. LIGO routing (AFFILIATE NOW / MAKE DIRECT) with earning potential.

• bridge

  Cross-world bridges — shared dimensions, brands, creators, products, and narrative between two cultural worlds.

• trajectory

  Historical + forecasted trajectory of a world. Returns velocity, acceleration, direction, 7-day forward projection, narrative.

• compare

  Compare two cultural worlds across all 193 dimensions — shared bridges, divergent identity, dimensional distance.

• recommend

  Direct access to the recommendation engine. Takes a query, returns ranked worlds + products with tracked buy links.

• velocity

  Current trend velocity for a world. Returns rate of change, momentum direction, and demand acceleration.

• brand_position

  Look up any brand's cultural position across aesthetics — which worlds it appears in, dimension profile, competitive landscape.

• construct

  Generate a product specification from a detected commerce gap. Returns a manufacturing brief with factory routing, cost estimate, minimum order, compliance tier, material spec, and production timeline.

• simulate

  Simulate launching a product or content strategy. Returns expected demand, competition overlap, revenue estimate, audience size, recommended platforms, and first-mover window.

• emerging

  Real-time demand radar — rising query clusters with zero or low supply. Shows what people are searching for that nobody is making, selling, or creating.

• creator_match

  Match creators to a brand and cultural community. Returns ranked creators with resonance scores, audience overlap, content format recommendations, and predicted engagement per platform.

• creator_deploy

  Generate a creator content deployment package. Returns a script, opening hook, soundtrack cue, product list, 7-day posting calendar, and predicted engagement by platform.

• audience_segment

  Generate an ad-targeting audience segment for a cultural world. Returns addressable size, platform distribution, targeting interests, purchase behavior, creative brief, and predicted performance.

• ad_creative_brief

  Generate an exact creative spec for a specific platform + product + aesthetic world. Returns hook line, format, duration, soundtrack with timestamp, color palette, transition, talent brief, products to feature, hashtags, posting time, predicted CTR.

• media_pyramid

  Returns a tiered media monetisation plan for a cultural world. Output includes tier readiness, recommended format per tier, and the conversion pathway between tiers.

• compound_query

  Universal commerce query. Combine any cultural parameters (world, emotion, occasion, budget, season, character, profession, age, body type, relationship, free text) into a single request. Returns shoppable products with tracked buy links, dimension profile, related creators, and related pages.

• dcr_query

  Natural language shopping query resolver. Takes a question in plain language and returns personalised product recommendations with tracked buy links. Use when the user describes what they want rather than naming a specific world.

• get_trend_momentum

  Compare multiple cultural worlds by current momentum. Returns each world with trend direction, demand acceleration, and opportunity signals, sorted by momentum.

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