Position TheoB Discovery Engine as an intelligence refinery, not a generic search clone.
Do not confuse ranked links with trusted understanding.Search is finding. Discovery is understanding.
TheoB Discovery Engine pursues truth, provides context and action, and turns scattered web results into scored, cited, deduplicated, agent-ready intelligence inside the Vault.
Every TheoB pathway can move through Past, Present, and Future without losing context.
Read current signals, conditions, and live context.
Voice ready
The internet, refined into intelligence.
TheoB Discovery Engine pursues truth, provides context and action, and turns scattered web results into scored, cited, deduplicated, agent-ready intelligence inside the Vault.
From infinite information to living intelligence capsules.
Search is finding. Discovery is understanding.
TheoB Discovery Engine pursues truth, provides context and action, and turns scattered web results into scored, cited, deduplicated, agent-ready intelligence inside the Vault.
From infinite information to living intelligence capsules.
Discovery Engine foundation is ready as a non-destructive architecture layer. Live provider retrieval, Vault ingestion, multimodal interpretation, capsule compression, and agent evidence handoff remain disabled until provider access, scoring policy, redaction, persistence, file handling, and source licensing rules are approved.
Prioritize evidence quality, source transparency, contradiction detection, and context.
Truth pursuit must show uncertainty, not pretend certainty.Discovery output should help agents and humans understand what matters, why it matters, and what action is appropriate.
No context-free data dumping.Repeated copies of the same claim should be clustered before credibility is scored.
Do not mistake repetition for verification.Every useful discovery result should point back to visible source trails.
No black-box truth claims.Discovery should produce clean reference objects that can be stored, retrieved, scored, compressed, and used by agents.
Only structured, redacted, source-safe records should enter the Vault.Search and data providers must be used through legal, rate-aware, terms-aware access patterns.
No brittle scraping or unlimited-data fantasy wiring.Agents should receive scored reference cards, extracted claims, contradiction signals, and confidence levels.
Agents should not reason from raw noisy search results.Discovery must eventually support text, images, diagrams, CAD, engineering schematics, maps, signals, and structured files.
Interpretation must add structure, not hallucination.Discovery should prepare future records for TheoB Intelligence Capsule Engine compression and reactivation.
Compression must reduce size, not truth.Humans should see why a source was included, downgraded, clustered, or rejected.
Trust requires visible reasoning surfaces.The foundation layer defines the architecture without executing live searches or mutating the Vault.
Design first. Wire live retrieval later.Retrieve broad web results from provider-aware search APIs.
Respect provider terms, quotas, caching rules, and attribution requirements.Provide baseline entity context, definitions, and structured relationships.
Treat encyclopedic sources as context, not final authority.Retrieve papers, citations, authors, abstracts, and research trails.
Separate peer-reviewed research from preprints, commentary, and SEO summaries.Use primary public datasets where available.
Prefer primary data for factual and statistical claims.Track current developments and compare reporting across outlets.
Avoid treating speed as accuracy.Feed TheoB domain intelligence with specialized sources.
Domain sources must be scored, dated, and source-linked.Prepare future discovery for non-text intelligence sources.
Never flatten visual, spatial, or schematic meaning into weak text-only summaries.Classify the user or agent request into research, comparison, validation, monitoring, visual interpretation, schematic interpretation, or action-support intent.
Output: intent profileChoose which search, data, academic, government, multimodal, or Vault sources should be queried.
Output: provider planCollect results from approved providers through legal and rate-aware interfaces.
Output: raw provider result setCluster duplicate URLs, mirrored articles, repeated claims, syndicated pages, and near-identical summaries.
Output: duplicate clustersScore source authority, primary-source status, author clarity, citation trail, date freshness, and commercial contamination.
Output: source scoreExtract key claims, dates, entities, numbers, and relationships from useful results.
Output: claim cardsPrepare future interpretation for images, diagrams, schematics, CAD, and architectural files.
Output: multimodal observation cardsDetect when sources disagree and label the disagreement without hiding it.
Output: conflict mapCreate structured reference cards that humans can inspect and agents can use.
Output: reference cardsPrepare records for Vault ingestion after redaction, licensing, retention, and persistence rules are approved.
Output: vault-ready recordPrepare reference records for future TheoB Intelligence Capsule Engine compression and reactivation.
Output: capsule-ready intelligence objectHand scored, cited, deduplicated evidence to agents instead of raw search noise.
Output: agent evidence bundle