Curiosity
Discover, interpret and translate.
CAT × BOEDIGITAL MARKET SERVICES · SIGNAL INTELLIGENCE
Impact creates meaning and relevance. Evidenced relevance strengthens market position and room to shape the future. CAT, BRAIN and BOE connect discovery, understanding, action and learning.
Discover, interpret and translate.
Verify, connect business capabilities and take responsibility for implementation.
Retrieve context, preserve provenance and reflect on experience.
01 / A SHARED LEARNING LOOP
The cycle runs automatically: CAT watches virtual screens, sends information packets to BRAIN and Hindsight, BOE reviews their use and returns new search signals. Select a step to explore it.
News, Instagram, YouTube and other sources provide potential clues. CAT records source, time, claim and open questions. A discovery alone is not evidence.
BRAIN connects accepted insights to problems and decisions. Hindsight supports retention, retrieval and reflection. External claims, user rules, first-hand agent experience and derived hypotheses retain their provenance.
Original sources, counter-evidence and relevance are checked. BOE aligns business, architecture, processes, people and organization with the same market context X. Implementation and approval remain accountable steps.
Verified outcomes and new counter-evidence update the context. Open questions return to CAT. This feedback loop describes the product goal; a complete automatic CAT–Hindsight pipeline has not yet been demonstrated.
Choose a role on the figure or a work step. One shared explanation shows how CAT, BRAIN, Hindsight and BOE work together.
CAT discovers signals and records claims, original sources and discovery time. Evidenced runtime uses bounded search; BOE supplies new search assignments.
BRAIN connects external market requirements with internal business capabilities and structures decision-making: match needs and business capabilities, identify gaps, compare options with evidence and determine the next testable step. SPEED and precision aim to reduce wrong decisions (de-risking), use money more effectively and time more efficiently. Hindsight supports context, memory and retrieval; an indexed source is not yet a confirmed memory.
BOE maps insights to a concrete market need and BAPPO. Digital Market Services governs processes, roles and approvals. You decide at the human gates.
The hexagon combines processes, data, rules and approved execution. Spatial rings represent operation; impulses reach arms and legs as contributors to outcomes. Their coordinated interaction delivers a Business Capability. Outcomes must be assessed against market context X.
The daily runner starts bounded processing. People set goals, budgets and approvals.
ai_signal_daily_scan.rbClassify candidates using documented rules; preserve sources and decisions.
review_ai_signal_candidates.rbAssign permitted use and BRAIN/PSP references. A reference does not prove successful Hindsight recall.
promote_ai_signal_candidates.rbpublish_ai_signal_brain_cards.rbMySQL records search runs and candidates; Markdown/JSON document assessment. The visual core does not query these data live.
MySQLMarkdown / JSONArms and legs stand for executing elements: people, processes, applications, services or hardware. Their contributions shape the required outcome profile; a Business Capability is their coordinated interaction.
Compare evidenced outcomes, cost, time and counterevidence with expectations. This informs reviewed adjustments and new CAT search tasks.
ai_signal_effectiveness_report.rbReactor geometry is a metaphor for orchestration — not a fusion reactor or live telemetry. Pulses illustrate coordinated execution, not measured energy or outcomes.
Open runtime architecture & sources ↗Terms · hover, focus or tap
Animated data objects · product model · A steering model, not a live profit statement. Search priorities and budgets change only after review; people retain goals, limits and approvals.
CAT → BRAIN → BOE → CAT · animated product model · Digital Value Wheel ↓ · Memory & overview ↗ · Operations monitor ↗ · Open architecture ↗
CAT scouts explore YouTube, Instagram and X. Transparent screens show different media formats; their clues flow into a shared review. Illustrative channel model, not live feeds.
Video & interviews
Reels & visual trends
Posts & discussions
Six source types combine social signals, business needs, news, research, long-form conversations and public actors. The three screens above show Social Media; additional CAT scouts broaden the view.
CAT / 02
LinkedIn: industries, companies, professionals and Business Capability needs.
Scouting targets · integration unconfirmed
CAT / 03
Reuters, NBC News and AP: events and editorial perspectives across news sources.
Scouting targets · integration unconfirmed
CAT / 04
Fraunhofer, MIT, Tsinghua, CAS and BAAI: research, publications and institutional perspectives. Record Chinese originals with language and translation status.
Scouting targets · integration unconfirmed
CAT / 05
Lex Fridman, All-In and Steve Eisman: record guest, episode, date and timestamp.
Scouting targets · integration unconfirmed
CAT / 06
Technology, policy and capital watchlist — no ranking or recommendation. Michael Burry and Steve Eisman are separate Big Short perspectives.
Scouting targets · integration unconfirmed
CAT records original URL, author, publication and discovery dates, language, region, claim and source type. BRAIN distinguishes reporting, research, opinion and promotion; BOE assesses market context and implications. Repeated copies are not independent evidence. Assess novelty, relevance and confidence separately.
DOAC · Guests, channels & publications · past 24 months ↗
Source directory checked 04.10.2026. Links establish source or profile context, not current offices or live feeds. Institutional and personal statements need independent corroboration; research needs study and methodology evidence. Direct adapters, usage rights and recurring runs require separate proof.
02 / CAT AS A PRODUCT
The senses are a product metaphor: different ways to discover, verify and communicate signals.
Eyes
Posts, images and videos reveal emerging technologies and market needs. Visibility does not establish a reliable claim.
Ears
Interviews, podcasts and YouTube offer perspectives. Permitted captions or authorized content become clues that can be checked.
Nose
Trace the original source, seek counter-evidence and identify themes. Copies of the same story count as one origin.
Paws
Bounded AI crawlers and source adapters access authorized channels with documented permissions and search limits.
Mouth
A short signal card explains claim, relevance, provenance, contradictions and open questions. It turns a discovery into a verifiable handoff.
Bounded searches through search providers with logged candidates. Original documentation and independent specialist sources complement social signals.
Adapters for authorized content and official interfaces. YouTube processing is documented as an adjacent component; complete direct CAT integration for both channels remains unproven.
Connect RSS, podcasts, research, GitHub and specialist channels through suitable adapters. Each channel requires verified access and a checked handoff.
03 / BOE IN THE TORSO
X represents today's market need, possible developments tomorrow and unexplored potential. CAT investigates this context. All five BAPPO dimensions must fit the same X and each other.
Which problem do we solve, and how do we create a viable offer with a sound revenue model?
Which data, systems and interfaces are needed for this specific need?
Which workflows and handoffs address the problem at the friction point?
Which people, skills and responsibilities are required for implementation?
Which rules, decisions and approvals support shared operations?
Outside: full potential
Green: required impact profile
Dark blue: evidenced realisation
Qualitative evidence view · 26 September 2026. Identical geometry for every profile; no invented maturity scores. Missing evidence remains open.
X · Reliable technology decisions for a specific market today and tomorrow.
Relevant customer problems and economic hypotheses
Five sectors and questions documented
Measure demand, costs and benefits
Bring sources and claims together with provenance
Existing BOE web radar; separate CAT runtime unproven
Validate media bridges
Collect → Analyse → Transform → reviewed handoff
Bounded search, classification and reports available
Validate an end-to-end media case
Expert review and accountable decisions
Market Intelligence & Signal Lead owner role
Assign reviewers by sector
Define context, approvals and deployment limits
BOE governance and review gates available
Review regional instances separately
X · Explore the same market question through permitted, traceable sources.
Relevant signals rather than reach alone
Sector focus and source priorities configured
Demonstrate actual signal yield
Reuse Instagram, YouTube, web and RSS
Web radar available; neighbouring YouTube pipeline; Instagram manual
Direct YouTube/CAT integration missing
Check identity, time, rights and duplicates
Existing intake and source patterns
Second requested Instagram subscription list not captured
Assign source ownership and access clearly
Market Intelligence & Signal Lead owner role
Ensure permission for the specific media source
Purpose-limited access and retention
Private content and cookies excluded from public artifacts
Review new countries/sources before activation
X · Derive a verifiable claim about the same market question from permitted video or audio.
Extract a narrow relevant claim
Existing YouTube problem-statement ingest
Demonstrate CAT-specific value
Use subtitles, VTT and optional Whisper
youtube-transcript-api, yt-dlp and optional openai-whisper in code
Installation and CAT runtime unverified
Preserve language, time segment, model and errors
Explicit Whisper fallback in existing ingest
Validate a permitted case through to a claim
Check language and subject errors
Human review planned in target process
Name a reviewer and error tolerances
Permission and minimal retention
No raw transcripts in this public view
Define pilot scope and deletion deadlines before execution
X · Check the specific claim against reliable evidence in the shared market context.
Reduce decisions based on unsupported claims
Relevance and evidence score separated
Measure actual decision value
Connect primary sources, press and counter-evidence
Confidence report and source configuration available
Actually read evidence for each claim
Check independence, interests and contradictions
Without evidence: unreviewed; no truth probability
Do not rate by media brand alone
Independent expert review
Review roles and human gate available
Assign domain experts for disputed claims
Traceable evidence instead of automatic promotion
Classification #81 and publishing #82 retained
New approvals through existing gates only
X · Develop an implementable business and revenue model from the same evidenced market opportunity.
Solve friction-point problems with a viable revenue model
Value hypotheses and example documented
Profitability and measured ROI remain open
Connect carriers in an interaction network
Business Capability matrix and reuse documented
Prove specific implementation and connections separately
Decide, design, review and learn back
Existing workflow, review and publishing gates
No autonomous development loop implemented
Combine people, AI and automation responsibly
Owner roles and independent acceptance
Define tasks and automation boundaries per instance
Fit organization, region and legal framework
BOE roles and DMS product interface
Accept country/product instance with a fitting impact profile
Scouting and signal model documented; market need and direct media coverage need further verification.
Web discoveries retain provenance; more independent sources and direct channel evidence are needed.
YouTube/Whisper code documented in the network; direct CAT integration and verified transcript quality remain open.
Rule implemented; claim mapping and independent evidence must be supplied and checked.
Knowledge references exist. Actual problem resolution, customer benefit and earnings need separate proof.
Qualitative view. No invented maturity ratings or area percentages. A documented component does not establish effective coupling or profitable value.
Details and evidence04 / A SIGNAL IS A QUESTION
Original sources, research findings and possible business value remain separate. These examples illustrate the review process, not product recommendations.
ROBOTICS / XPENG IRON
The submitted reel claims the robot is already in mass production. The manufacturer's announcement of 8 September 2026 distinguishes a production line, a mass-production target by the end of 2026 and planned deliveries in 2027.
Original sourceThe evidence score is not a probability of truth. Rule v1.1 has a technical maximum of 90/100; zero means unverified.
Unverified and contradicted on timing: this source does not support ‘already in mass production’.
Limited evidence from one origin. Manufacturer targets do not independently prove delivery business capability or everyday reliability.
Which specific task could robotics usefully solve? Need, maturity, cost, risks and operating limits require verification.
Four researched signals from 26 September 2026. One primary source read for each; no independent replication or calculated confidence score. Not yet MySQL candidates or approved BRAIN entries.
Biological computing
NUS describes a research prototype with 20 CL1 units. This does not establish an economical replacement for conventional data centers.
Original sourceBiohybrid robotics
MIT presents a laboratory gripper made of cultured muscle tissue and synthetic tendons. Industrial everyday reliability remains unproven.
Original sourceOrganism + technology
Caltech studies jellyfish with electrical stimulation and an artificial forebody for ocean exploration. Tests took place in a controlled saltwater facility.
Original sourceHuman–machine interface
NIH reports two participants controlling a speaking, gesturing avatar. This does not imply general medical availability.
Original sourceBRAVE SEARCH · 25.09.2026
Brave Search captured the vendor comparison on 25 September 2026. The candidate was accepted with medium confidence and absorbed as a BOE pattern. The vendor is also the source — its comparison is not independent evidence. n8n remains a reference; BOE retains orchestration ownership.
Original sourcecand_source_44e02bd1dcdf3d061424promotion_decisionabsorb_into_boe05 / PROCESSING & MEMORY
The current radar uses bounded search, Ruby rules and SQL. The head in the image represents the shared memory role; existing BRAIN references and internal Hindsight integration do not guarantee a complete automatic pipeline.
Collect
Automatic within the approved daily runRecord provider, URL, title and snippet; identify duplicates through canonical URLs. MySQL records the run and search term.
Writes: scan run, candidate and next search due time to MySQL; no complete video.
Classification
Automatic · fixed rulesReject missing source or confidence. Rules assign clusters, relevance and adoption patterns; status, actor and review time are retained.
Writes: status, rule ID, actor, review time and estimated effort; no individual human acceptance claimed.
Platform gate
Automatic · fixed rulesCheck workflow platforms and existing decisions. BOE remains responsible for new shared orchestration.
Writes: platform decision and usage rules; no installation order.
BRAIN gate
Automatic · fixed rulesCheck source, relevance, review and business capability mapping. Document card/PSP references or a justified no_card decision. No raw media.
Writes: card/PSP references or justified no_card; no raw media.
Impact report
Automatic analysis · measurement evidence manualEvaluate acceptance, diversity, promotion, time and costs separately. The report does not change the pipeline on its own.
Writes: PASS/WATCH report and comparison of measures; no autonomous pipeline changes.
Claim assessment
Semi-automatic · human evidence mappingAssess freshness, independent provenance, contradictions and interests. Human-checked supports/contradicts mappings are required; no retroactive publishing veto.
Writes: report without retrospective publishing veto. Reviewed supports/contradicts mapping must be supplied.
Public excerpt from snapshot.json, not a complete export. created_at has no documented timezone; confidence: medium describes relevance, not truth.
{
"candidate_id": "cand_source_44e02bd1dcdf3d061424",
"title": "Zapier vs. n8n Comparison: Pricing, Security & Self-Hosting | Zapier",
"source_url": "https://zapier.com/blog/n8n-vs-zapier",
"provider": "brave_search",
"candidate_status": "accepted",
"confidence": "medium",
"promotion_decision": "absorb_into_boe",
"created_at": "2026-09-25 08:31:35"
}From Intake onward these are keys in metadata_json. Rules are not original sources. Missing values are not reconstructed.
Budget and attempt limits apply before search. Errors stop later stages; earlier writes are not rolled back as one transaction.
| Component | Method / mode | Input → Output | Evidence limit |
|---|---|---|---|
| Daily web search | Brave, Tavily, Google search providers; automatic within approved limits | Query → results | 26 September: three providers healthy; discovery only Brave. Internal models undocumented. |
| Classification / platform / BRAIN | Ruby rules and SQL; automatic | Record → status, usage decision, knowledge/PSP reference | No generative model in these reviewed stages; no GPT/Claude ID per example. |
| Neighbouring YouTube transcript | Subtitles; optional local Whisper, default tiny / en | Subtitles or audio → text; optional fallback | Neighbouring component, not directly in the CAT daily run. No Whisper execution evidenced for this example. |
| Claim assessment | Evidence rule v1.1; semi-automatic with human claim/provenance review | Reviewed supports/contradicts evidence → score report | No matching reviewed evidence set for the stored example; no retrospective publishing veto. |
| BOE implementation / improvement | People and assigned coding assistants; human accountable | Need → change, tests, independent acceptance, approval | No fixed runtime model, autonomous model training or product deployment evidenced. |
For future AI runs, record model ID/version, input/prompt version, time, configuration, output reference and review result. This is a documentation requirement, not an implemented run trace.
Code evidence · reviewed on 27 September 2026
External claims, user decisions, agent experience and hypotheses retain their sources. A model summary is not a new independent origin.
An indexed source, completed semantic extraction and successful source-bound retrieval are distinct pieces of evidence.
Use relevant, authorized and current context only. Recheck stale or contradicted memories.
Store purpose-bound insights and source references. Credentials, private memories and unnecessary raw media do not belong on this public page.
Brave, Tavily and Google are search providers; their internal models are undocumented. The reviewed classification, platform and BRAIN stages use Ruby/SQL rules, with no demonstrated generative model. A topic such as ‘Claude’ does not prove model use. An adjacent YouTube component can use captions or optional local Whisper (configuration default tiny, en); no run is evidenced for this example. Model ID, version, input, time, output and verification need their own records.
Original source Original source Original source Original source06 / EVIDENCE BEFORE PROMISES
Sanitized snapshot from 26 September 2026. Counts describe the entire candidate table at that point in time — not live data or measured business success.
Snapshot: no review/publishing errors and no orphan run or term references. This establishes defined structural checks, not universal correctness.
Three providers passed the health test on 26 September; discovery used Brave only. Provider health and independent source diversity are separate questions.
20–26 September window: 5 candidates, 3 accepted, 2 rejected, 3 BRAIN and 3 PSP references. Estimated time saved: 1.25 minutes. Baseline measurements and cost evidence are missing.
Fictional teaching simulation. It does not assess a real discovery or trigger publication.
40 + 20 + 10 = 70 in this teaching example. Copies add nothing; an unresolved contradiction caps the score at 20. Not a probability of truth.
07 / DEVELOPMENT & FEEDBACK
Better sources should yield better claims; clearer X should enable better-fitting business capabilities. Only measured outcomes can establish improvement. Counter-evidence, misclassification and missing value may trigger adjustment or a pause. Autonomous model training or code changes by the radar have not been demonstrated.
137 terms, 8 provider attempts and initially 22 open candidates in the first recorded run.
SDKs as design references; runtime integration requires a pilot, review and approval.
Derived backlog data and issue drafts; implementation remains a reviewed step.
Actions address irrelevant results and source concentration. A start date is not proof of success.
2,138 candidates in the snapshot. The seven-day impact report remains WATCH.
CAT, BOE, BRAIN and Hindsight shown as a shared product model; no new backend execution evidence.
DIGITAL VALUE WHEEL
The Digital Value Wheel connects market observation, customer value and business results. Select a phase to see its role, outcome and success criteria.
CAT discovers market signals. BRAIN connects sources and insights to a customer journey and required business capabilities. BOE prioritises hypotheses according to the overall situation.
BRAIN connects external requirements with internal business capabilities and supplies market, journey and decision context. BOE implements the selected next step: applications, data, processes, people and organisation form a solution along the journey. CAT supplies new signals as the environment changes.
BOE connects customer value to pricing, revenue model and costs. BRAIN links results to the original CAT signals so that successes and failures remain traceable.
CAT supplies market and problem signals. BRAIN connects them to opportunities and suitable business capabilities. BOE orchestrates outcomes, reusable components and services; results return as new search briefs. The animation is a model, not live data.
A segment, trend or market requirement with source and discovery time.
An obstacle in the customer journey affecting time, cost or quality.
Who has which problem in what context? A testable problem description.
A value hypothesis: what improvement could emerge and how can it be tested?
The required Business Capability involving people, processes, data and technology to solve a problem.
An existing service, API, data model or process whose fit is checked before reuse.
An evidenced outcome compared with the baseline; value, cost, time and return remain separately measurable.
Differentiating business capabilities strengthen the unique impact carriers and their mechanisms. Measure the contribution to customer value and results instead of building every business capability internally.
Standardise or source non-differentiating business capabilities as shared platform services. Interfaces, ownership, service quality, costs and dependencies make scaling controllable.
First check existing data, APIs, processes and business capabilities for fit and limits. Reuse can support new journeys and offers faster; evidenced value, capacity and cost per use demonstrate the scaling effect.
Benchmark quality, time to impact, total cost, integration effort and dependencies: build internally, buy a service or reuse components. Consider USP-critical control and exit options.
Measured demand and impact guide the lifecycle: test a new business capability, expand a viable one, improve a weak one or retire it in an orderly way. Review active journeys, contracts and dependencies before changes.
Connect source → problem → opportunity → business capability → component → impact. Recurring patterns and confirmed outcomes expand the knowledge network; counter-evidence corrects relationships and refines CAT’s next search brief.
BRAIN connects Market Intelligence with internal business capabilities: requirement → business capability match → gap → options → evidence and risks → decision → testable next step. Small, reversible tests reduce uncertainty in a dynamic environment. Measure decision speed, corrections, rework, costs and time against a documented baseline; faster decisions improve performance only when quality and boundaries are preserved.
CAT asks questions and discovers signals. A source makes a finding traceable, not necessarily true.
BRAIN checks signals, links context and distinguishes evidenced knowledge from open questions.
BOE combines Business Capabilities and delivery elements: what changes for people, processes or markets?
Impact gains meaning when its value for specific people and goals becomes understandable.
Meaning becomes relevant when it addresses an important problem at the right time in X market context.
Repeatedly evidenced relevance can strengthen trust, preference and differentiation. Market position needs comparison and evidence.
Trust, relationships, available resources and reusable components expand the possible next steps.
Room to shape leads to new questions. Market feedback, failures and changing requirements redirect CAT; BRAIN updates context and BOE adapts the offering. This is a learning model, not an automatic or guaranteed progression.
PLATFORM · xBAPPO
X defines the coordinates: market, region, customer segment, problem, journey and time. The platform combines delivery elements by their characteristics into an evidenced value proposition.
The data object is the smallest orchestratable unit: unique ID, type, meaning, relationship, source, version, region and validity. Semantics defines meaning; ontology defines how elements relate. Units, currency, ownership and allowed state transitions prevent inconsistent handoffs.
Product sales, subscriptions, pay-per-use, licensing, platform intermediation and outcome pricing are combinable patterns. Selection follows users, usage and evidenced value.
Which problem is solved, for whom, in what context and with what verifiable impact? Link journey, offering and required Business Capabilities.
Devices, usage rights and software are distinct delivery elements with lifetime, ownership, dependencies, availability and recurring costs.
Digital services, human work and physical execution form one interaction network. Non-differentiating Business Capabilities can be sourced as services; differentiating USP components receive focused investment.
One-off, recurring, usage and transaction fees connect compensation to the value proposition. Contracts, revenue, profit and actual cash receipts remain separate data objects.
X → Business → Architecture → Process → People → Organization → Market impact → Cash & feedback → X
Business defines the offering; Architecture connects applications, data and APIs; Process organizes execution; People own decisions; Organization defines roles and providers. BOE orchestrates, BRAIN matches market requirements to internal Business Capabilities, CAT revisits X.
A small delivery element tests the value hypothesis with limited resources. Visible gaps guide evidence-led expansion.
A more developed element can cover more requirements. Greater maturity is worthwhile only if incremental market value justifies the effort.
Illustrative profiles, not measured scores. Compare target and actual gaps within the same X context, region and period. Each axis requires a definition, target, source and uncertainty. The six corners are X/B/A/P/P/O. Region, maturity, product and time are additional perspectives. Green marks the required profile, dark blue the actual delivery profile; the outer hexagon marks total potential. Paper plane and gold solution are separate delivery scenarios.
Usage, satisfaction, repeat purchase, willingness to pay and actual payments show how well impact meets X. “Energy inflow” is a metaphor for available cash. Revenue, profit and cash receipts are distinct.
Cumulative net cash surplus = attributable cash receipts − ongoing attributable cash payments − upfront investment. Count upfront investment only once. Payback is reached when this balance is at least zero over the defined period.
Expand, reuse, buy or retire: market fit, impact, costs and risk guide decisions together. Positive cash return may fund future components after obligations and liquidity needs. Failures update hypotheses and CAT searches; the semantic network learns through evidenced feedback and authorized decisions.
Conceptual model: no live financial model, automated investment or guaranteed return.
BOE compares results with expectations. BRAIN keeps the source, hypothesis, action and effect in a connected learning trail. This becomes a new CAT search brief: which topics and sources deserve more attention, and which less?
Evidenced value and viable returns → investigate similar opportunities more closely.
Unclear impact or conflicting signals → seek additional sources and tests.
Repeatedly low value or uneconomic effort → narrow the focus or reject the hypothesis.
A steering model, not a live profit statement. Search priorities and budgets change only after review; people retain goals, limits and approvals.
CAT × BOE
Choose a claim, check current original sources and independent evidence, and describe the need. Only then derive a justified recommendation or an approved work order.
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