project-atlas

Query the keyless academic and public-domain registries (OpenAlex, Crossref, Semantic Scholar, Project Gutenberg, Internet Archive, Stack Exchange) for a topic and get back normalized, copyright-safe reference metadata (title, link, provenance). Use when gather-citations or verify-claims needs primary-literature grounding instead of the LLM's training memory.

Query Wikipedia, Wikidata, Stack Exchange, public Discourse forums, academic APIs, and public-domain archives to synthesize facts, human struggles, and philosophical debates to build the narrative arc for a topic. Store only facts/events/dates/relationships, dialogic tension points, and reference metadata — never full articles (copyright-safe pipeline, spec §2.5).

Query Metacritic, GameSpot, and TVGuide (resolved and read via Bright Data) for a personality's existing game/film/TV adaptation, extracting critic/user scores, narrative themes critics highlighted, and reception debates. Use when generate-psych-profile or backlog-ranking want a critical-reception signal on top of gather-citations' facts and fandom-lore's fan interpretation.

Compose the per-beat music score plan (Lyria cues, deliberate silence segments, optional sound-effect cues) for a content run by calling Hermes's music-director judgment agent. Use when the Content Factory agent must produce the music_director_output that Hermes's content-run pipeline needs for music generation, beat-synced editing, and the SFX layer.

Decide the whole-video visual grade, typography, and per-shot treatments (transitions, camera moves, grade deviations, light leaks) for a content run by calling Hermes's visual-director judgment agent. Use when the Content Factory agent must produce the visual_director_output that Hermes's content-run pipeline needs for shot styling in Video Assembly.

Trigger Hermes's deterministic 11-agent video-production pipeline for an editorially-approved run, and poll it to completion. Use when submit-editorial-review records a human PASS and the approved asset bundle is ready to actually produce.

Query Fandom wikis (resolved and read via Bright Data) to extract fan-curated personality traits, relationship dynamics, and fan-framed story arcs for a subject -- the depth Wikipedia's neutral tone doesn't carry. Use when generate-psych-profile or story-universe need fan-interpretation signal alongside gather-citations' verified facts.

Spawn and monitor a full content production run (research → fact-check → psychology → story) for one topic opportunity, managing the iterative quality-score loop until it clears threshold. Use when the Chief Editor agent must turn an approved topic opportunity into a complete asset bundle, or when asked to "produce", "run", or "orchestrate" content for a topic.

Query Google Trends, Reddit, YouTube, news and Wikipedia pageviews to retrieve raw volume and velocity statistics for a topic. Use when the Trend Intelligence agent needs fresh trend/discussion/search signals for a query or topic. Always fetch source text via Jina Reader and respect the search_cache 30-day no-repeat rule.

Focus on sourcing, drafting, and creative selection for: Find unknown but fascinating people with extraordinary stories before they go mainstream. Use when the Hidden Legends Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Find athletes, leaders, entrepreneurs, philosophers, scientists, reformers, commanders across categories. Use when the Personality Discovery Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Continuously discover rising topics, personalities, events and discussions. Use when the Trend Discovery Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Identify segments: students, professionals, entrepreneurs, managers, athletes, history lovers, etc. Use when the Audience Mapping Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Organize stories into content universes / playlists (e.g. Sports Psychology, Leadership Psychology). Use when the Playlist Intelligence Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Calculate India / US / Europe / Australia relevance scores. Use when the Geographic Intelligence Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Transform one personality into dozens to hundreds of distinct story angles (leadership, failure, psychology, rivalries, relationships, communication). Use when the Story Atomizer Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Predict RPM, affiliate, merch and sponsorship potential. Use when the Revenue Optimization Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Predict CTR, watch time, comments and shares before production. Use when the Engagement Prediction Creator agent must act on its inputs and produce its defined output.

Parse YouTube retention-curve coordinates to predict audience drop-off hotspots for a video. Use when DS-Star must forecast where viewers will leave so the Narrative/Retention agents can fix pacing before upload. This is statistical work — compute in Python/pandas, call the model only to interpret (spec §11.3 computation-first).

Perform gradient adjustments on the Trend Engine opportunity-scoring weights to align suggested opportunities with actual views and retention growth. Use when DS-Star runs its nightly tuning pass to close the analytics→backlog feedback loop.

Draft a YouTube-optimized title, description, and tag list for a content run by calling Hermes's seo-metadata judgment agent, grounded in real keyword data via vidiq. Use when the Content Factory agent must produce the publish_metadata.title/description/tags that Hermes's content-run pipeline needs before dispatching to video-publish.

Focus on sourcing, drafting, and creative selection for: Build a creator-to-creator growth channel: identify adjacent creators by archetype/audience overlap, manage outreach pipeline (reusing the Sponsorship CRM pattern), track collab vs solo performance. Use when the Collaboration Outreach Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Enforce consistent cadence across platforms: maintain the publish calendar against §9.4 targets, flag gaps before they break momentum, coordinate Shorts/Reels timing with long-form. Use when the Posting Schedule Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Maximize click-through from cold impressions: generate and A/B test thumbnail/title variants, track CTR by archetype/personality, feed winning patterns back to the Thumbnail agent. Use when the Thumbnail/Title CTR Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Predict whether a topic will matter next week, month or quarter. Use when the Demand Forecast Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Drive comment-stage engagement signals: draft and schedule timely replies to early comments, surface high-signal questions to Coverage Gap, monitor comment sentiment for safety flags. Use when the Community Engagement Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Final gatekeeper above all agents: decide if a personality is worth covering, estimate whether it can generate 50+ stories, identify which audiences/countries care, assess YouTube saturation, shareability and retention likelihood. Use when the Story Opportunity Intelligence Creator agent must act on its inputs and produce its defined output.

Focus on sourcing, drafting, and creative selection for: Find high-demand, low-content-supply opportunities. Use when the Coverage Gap Creator agent must act on its inputs and produce its defined output.

Push a completed asset bundle to the human editorial review queue and suspend the workflow until an editor votes PASS or REJECT (Human-in-the-Loop gate). Use when a content run has cleared the quality threshold and needs human approval before publishing.

Scan an entity's summary/metadata and cross-reference the graph to suggest new edge relationships (FACED, INFLUENCED_BY, LED, RIVALED, MENTORED, etc.) in Apache AGE. Use when the Knowledge Graph agent must enrich the Human Story Graph after a new entity or source is added.

Convert query text to an embedding and run a cosine-distance search over the PGVector entities table to find related nodes in the Human Story Graph. Use when the Knowledge Graph agent must retrieve semantically related entities/facts to feed a writing or research agent.

Query public trademark databases to ensure generated design text or quotes do not violate registered intellectual property. Use when the Commerce & Design agent must gate a merch concept before it becomes a designer task or listing. Also a checkpoint for the Envato-incorporation and FTC/AI-disclosure gates (spec §10.5/§10.8).

Compute the Project Atlas weighted opportunity score for a topic from raw metrics (search, discussion, video, evergreen, emotional, competition, monetization, regional). Use when the Trend Intelligence agent must rank or classify a topic after signals are fetched. This is arithmetic — compute in Python, not via an LLM (spec §11.3 computation-first).

Apply three-act structural scripting (Hook → Conflict → Escalation → Resolution → Lesson) to draft complete narration with opening hooks, visual cues and chapter divisions from a factual dossier and psych profile. Use when the Narrative & Psychology agent must write the actual script for an approved topic.

Translate the central themes of an approved script into minimal, premium image-generation prompts (Flux/DALL-E) suitable for a product type. Use when the Commerce & Design agent must turn a topic into designer-ready merch concepts. Output is reference material for a human designer, never the final uploaded artwork (human-in-the-loop, spec §10).

Extract the core motivations, decisions under pressure, cognitive biases and mental models of a subject (historical figure / topic subject) to drive psychology-led narrative. Use when the Narrative & Psychology agent must understand WHY a subject acted as they did before drafting a script.

Cross-reference draft script claims against verified fact databases and flag numerical, date, or relational contradictions with severity. Use when the Research & Fact-Check agent must audit a draft before it advances to editorial review. High-stakes claims about real people/events warrant a cross-model second opinion (spec §11.3).

Choose the narration voice, pace, energy, and emotion for a content run from its vibe and script, by calling Hermes's voice-director judgment agent. Use when the Content Factory agent must produce the voice_assignment that Hermes's content-run pipeline needs for narration synthesis.

Draft thumbnail concepts (prompt, focal emotion, text overlay) for a content run by calling Hermes's thumbnail judgment agent. Use when the Content Factory agent must produce the thumbnail_concepts that Hermes's content-run pipeline needs to render actual thumbnail images via thumbnail-generation.

Determine B-roll, music, images, and templates; generate Google Veo and Higgsfield AI prompts for visual gaps; construct HeyGen presenter inputs, by calling Hermes's asset-planner judgment agent. Use when the Content Factory agent must produce the asset_planner_output that Hermes's content-run pipeline needs to drive visual/presenter/music/asset-sourcing generation.