★ INTERACTIVE CONCEPT DEMONSTRATIONAll numbers are illustrative model outputs. No real artists, deals, or financial data are represented. This demo shows Jallybean's signal-to-icon operating architecture — not an investment prospectus, not a career guarantee. The governed approval workflow is demonstrated live; economics are illustrative.ILLUSTRATIVE · NOT AUDITED · NOT A GUARANTEE
DEMO PROOF — signal detection, classification, prescription, approval workflow, Icon Index calculation: shown liveCOMMERCIAL PROOF — actual deal values, confirmed bookings, measured ROI: requires deployed engagementsINVESTMENT MODEL — Icon Index threshold, financial projections, platform pricing: illustrative assumptions
1 · Jallybean Entertainment — Governed Operating Intelligence
Jallybean turns weak entertainment signals into governed, owner-specific career decisions — and builds a record of which interventions actually produce career outcomes.
AI generates language · Jallybean owns the decision architecture · No action executes autonomously. The demonstrated capability is the governed loop and its recording machinery; production efficacy of the learning system is deployment evidence, labeled as such throughout.
2 · One Signal, End to End the product, on one illustrative signal
✦ One Signal, End to End
The entire thesis on a single illustrative signal — detection through governed decision through measured outcome through learning. Every module below is this loop, scaled.
SIGNALSIMULATED SIGNALDeadline Hollywood: Netflix greenlights 8-episode observational comedy series. Casting director attached. Seeking lead comedic voice, 32–45. $40K–$65K/episode.
CLASSIFICATIONGREENLIGHT (GL) · Urgency: HIGH · Window: 30–45 days · Relevance score: 87/100
Authorization level is computed from signal urgency, career consequence, and reversibility. A-1 (manager only) through A-3 (artist + manager + attorney). The gate is structural: no action routes to execution without explicit approval. Every APPROVE / MODIFY / REJECT is logged.
5 · Entertainment Operating Board the industry-specific prescription layer
01 Intelligence Hub — Live Signal Feed
Deadline Hollywood, Variety, THR, Billboard, Pollstar, Rolling Stone, IndieWire, The Wrap, IMDbPro STARmeter, Chartmetric, Spotify for Artists, Google Trends, TikTok/Instagram Analytics, Reddit, Box Office Mojo, ProductionHUB, Behance — classified in real time into 10 signal types. Each signal that clears the relevance threshold generates a specific prescription.
SIGNAL TAXONOMYDEMONSTRATED
GL GREENLIGHTCA CASTINGDS DEAL SHIFTCM CULTURAL MOMENTCX COMPETITIVEAS AUDIENCE SIGNALEM EXEC MOVEMR MARKET RATEAW AWARD SIGNALRS RISK SIGNAL
Source tier 1: Deadline, Variety, THR, Billboard, Pollstar, Rolling Stone, IndieWire, The Wrap (hourly/daily). Tier 2: IMDbPro STARmeter, Chartmetric, Spotify for Artists, Google Trends, TikTok/IG Analytics, Reddit, Box Office Mojo (daily). Tier 3: ProductionHUB, Mandy, ADG, Behance/ArtStation (weekly).
DESIGNED KPI FRAMEWORKDESIGN — Lead time: Jallybean detection date vs. trade press awareness date. Precision: classified signal → approved action → confirmed outcome within defined window. Targets set at deployment, then measured — never asserted in advance.
02 Icon Index — Hollywood Attention Composite
The proprietary composite that measures how close an artist is to the critical mass of Hollywood executive attention that converts from "known talent" to "pursued talent." Seven measurable components, updated daily. Each component below the threshold has a prescription.
71
ICON INDEX SCORE / 100
APPROACHING — 7 points to Hollywood pursuit threshold (78+)
Primary Jallybean Prescription:
Late-night booking is the single highest-leverage action to move the Icon Index above 78. A booking on a top late-night show contributes an estimated +8.2 points — pushing total to 79.2. This is the system's primary recommendation this quarter.
ILLUSTRATIVE METHODOLOGY · Weights calibrated per role · Production thresholds established from calibration data · Not a guarantee of outcome
CAREER AUTHORIZATION FRAMEWORK
A-1 (Manager only): Content calendar, social strategy, rate benchmarking, performance monitoring. A-2 (Artist + Manager): Casting submissions, brand deal evaluation, project greenlight responses, touring decisions. A-3 (Artist + Manager + Attorney): Contract execution, rights licensing, deal structure, equity participation. Segregation of duties: Prescription generation (system) separated from authorization (human team) and execution (agent/attorney/manager). Every APPROVE / MODIFY / REJECT logged with timestamp and identity.
03 Social Domination — Cultural Moment Intelligence
Cultural moments are detected before they peak and translated into specific content prescriptions with estimated Icon Index impact. Nothing auto-publishes. Every recommended post requires artist or manager approval.
PLATFORM SIGNAL VELOCITY
TikTok growth0%
Instagram0%
YouTube0%
X / Twitter0%
STREAMING VELOCITY (30-DAY)
+0%
Cultural moment window: Jallybean detects trend velocity before it peaks in mainstream press. Average lead time vs. trade coverage: design target. Measurement: detection date vs. first Deadline/Variety mention. Content prescriptions are drafted for approval; nothing auto-posts.
04 Entertainment HoldCo Threat Board — 6 Verticals Under Management
Operating threats across all six HoldCo verticals — each paired with a response playbook, a named owner, and an authorization level. Engine layer labeled: RULES = threshold logic PREDICTIVE = pattern-based WORKFLOW = routing + approval chain.
6 · Outcome Attribution gross outcome vs. attributed incremental effect
Only the attributed delta is ever credited to Jallybean. The design below isolates intervention effects.
OUTCOME ATTRIBUTION — DEPLOYMENT DESIGN
Intervention cohort: Submissions, bookings, and campaigns executed within Jallybean prescription window Comparison cohort: Comparable periods or comparable-profile artists without the intervention Observed delta: Outcome difference on the operating metric (booking rate, STARmeter, streaming velocity) Attribution confidence: Stated with the estimate, graded from cohort separation quality Incremental effect: Only the attributed delta is credited — not the gross career outcome
Deployment measurement design — not a claim of current attribution capability.
7 · Evidence Map what is proven, designed, modeled, and still to be proven
EVERY SUBSTANTIVE CLAIM ON THIS PAGE CARRIES ONE CLASS
DEMONSTRATED functionality operating in this demo session — signal classification, prescription generation, approval workflow, Icon Index calculation, threat board DESIGN measurement methodology intended for deployment — lead time measurement, attribution framework, KPI calibration MODELED hypothetical calculation from stated assumptions — Icon Index scores, financial outcomes, career trajectory projections DEPLOYMENT EVIDENCE requires real artist data and time — learning loop efficacy, measured attribution, commercial proof of ROI
8 · Expansion Architecture
Same decision architecture. Different HoldCo vertical. The loop demonstrated above extends without structural change across all six entertainment verticals — Performance, Content, Brand, Merch, IP/Rights, and Social. Each vertical uses the same machinery with a different prescription layer. Craft professionals (Set Designers, Graphic Artists, Cinematographers) run the identical loop against their specific signal sources and career metrics.
9 · Commercial Model & Icon Index Simulation
Jallybean Entertainment — What Is This?
What Jallybean isA governed operating-intelligence layer that converts entertainment signals into owner-specific career decisions, routes them through human authorization, measures the resulting outcome, and feeds results back into future prescriptions. Jallybean sells an AI-powered career intelligence platform to entertainment professionals and their management teams.
Who uses itPerforming artists (comedians, actors, musicians), craft professionals (set designers, graphic artists, directors), producers, and their management teams — anyone running an entertainment career as the enterprise it actually is.
Revenue modelAnnual SaaS subscription priced per HoldCo entity + vertical count. Recurring and contract-anchored. Pricing: illustrative assumption — $2,500–$8,500/month depending on profile complexity. Not yet market-tested.
The moatNot the LLM. The accumulated operating graph. Signal → decision → owner → approval → intervention → outcome. Over time, Jallybean accumulates proprietary data about which prescriptions produce career outcomes under which signal conditions for which artist profile. That is a data moat, not a model moat.
Why not ChatGPTAn LLM can summarize "inventory rising." Jallybean says: Casting director X opened a slot for your format → likely mechanism Y → this artist should do Z → owner is A → approval required from B → expected Icon Index effect: +8.2 points. That is a harder system to reproduce than a chatbot on top of BI.
Not an LLM. Not a career coach. Not autonomous. A governed career decision architecture for entertainment professionals.
▶ ICON INDEX SIMULATION — YOU HAVE THE CONTROLS LIVE SIMULATION · INTERACTIVE
Adjust career inputs. When the Icon Index drifts below the 78-point threshold, Jallybean proposes a specific intervention. You decide: APPROVE, MODIFY, or REJECT. The score consequence appears in real time. At default inputs this simulation matches the illustrative base case: 71 points · APPROACHING threshold.
0 (none)8 (weekly)
0.1M20M+
060+
Top 100 (icon)Top 10,000 (emerging)
Icon Index
71
base case
vs 78 Threshold
APPROACHING
Late-Night Score
6.1
/ 15 max
Streaming Score
14.6
/ 18 max
⚡ ENGINE RECOMMENDATION · AWAITING HUMAN DECISION
Proposal loading…
CALIBRATION NOTE: At default inputs this simulation produces the illustrative base case: Icon Index 71 · Late-night score 6.1 · Streaming score 14.6. Deviations reflect your input choices. The 78-point threshold is illustrative methodology — production thresholds are calibrated per artist profile at deployment. Icon Index = weighted sum of 7 components (STARmeter 20%, Streaming velocity 18%, Late-night frequency 15%, Social growth 15%, Trade mentions 12%, Peer cohort rank 12%, Agency tier 8%).
05 HoldCo Economics — Six Verticals Under Management
The financial operating picture across all six HoldCo verticals. Revenue concentration risk, vertical margin, and the IP catalog value model. All figures are illustrative model outputs — not actual artist financials.
ILLUSTRATIVE / MODELED: All revenue figures, margins, and catalog values belowDEMONSTRATED: The vertical categorization framework and concentration risk prescription
DETECTED→RECOMMENDED→AWAITING APPROVAL→EXECUTED · WITHIN APPROVED POLICY
REVENUE CONCENTRATION RISK
78%
top 3 sources · target: <55%
Top 3 revenue sources = 78% of total HoldCo revenue. Same brand renewal cycle Q2 2027. Prescription: Diversify into 2 new brand categories. Route to manager, A-2 approval.
TOURING EBITDA MARGIN
24%
target: 20–30% · ON TRACK
IP CATALOG VALUE (MODELED)
$0M
PV of royalty streams · illustrative
Disclosed as model assumption. Capitalized at illustrative discount rate. Not audited value. Sync representation gap detected: ACTION REQUIRED.
HOLDCO AUTHORIZATION FRAMEWORK
A-1 (Manager): Content strategy, social calendar, rate benchmarking, performance monitoring. A-2 (Artist + Manager): Brand deals, casting submissions, touring decisions, project greenlights. A-3 (Artist + Manager + Attorney): Contract execution, IP licensing, deal structure, equity participation. Segregation of duties: Prescription generation (Jallybean) separated from authorization (human team) and execution (agent/attorney). Full audit trail.
06 Team Silos → One Shared Board
Manager, agent, attorney, publicist, and artist all read the same intelligence at the same instant. The routing layer sends each signal to the person who must act — with a recommended action already drafted for their approval.