01
Expert Intelligence
Canon Engine
Turns your knowledge, proof, stories, methods, and decisions into a governed source of truth.
Output: Expert Canon + signature methodology
FrankX field system
Turn what you know into an authority business that learns.
One Expert Authority Intelligence System. Five engines. Your knowledge becomes canonical, audience demand becomes visible, authority becomes defensible, products become sequenced, and every funnel interaction improves the next decision.
System hierarchy
Do not market five systems. Operate five engines.
The system is the commercial product and persistent memory. Each engine owns one transformation and produces a governed artifact consumed by the next engine.
02
Audience Intelligence
Signal Engine
Captures exact language, objections, desired outcomes, buying signals, and behavioral evidence.
Output: Audience signal graph + language bank
03
Authority Engine
Synthesis Engine
Finds the valuable intersection between what you uniquely know and what the market urgently values.
Output: Category position + authority narrative
04
Product Intelligence
Offer Engine
Converts authority into a sequenced transformation, curriculum, price ladder, and delivery system.
Output: Product stepladder + transformation architecture
05
Funnel Intelligence
Growth Engine
Routes attention through diagnosis, trust, conversion, email, cross-sell, and measurable learning loops.
Output: Traffic-to-revenue loop + experiment backlog
Five-minute diagnostic
Find the constraint that governs everything else.
Score the current operating reality, not the ambition. The weakest engine becomes the next build priority.
Product intelligence
One mechanism. Five buyer states.
The ladder is not a stack of unrelated products. Each tier resolves the next constraint while increasing evidence, commitment, and implementation depth.
Diagnose
Authority Map
Live
Segment the real constraint and deliver an immediate next move.
Activate
Authority Sprint
Next
Create the first visible asset, proof event, or named mechanism.
Systemize
Expert Product Blueprint
Planned
Build the canon, audience graph, offer ladder, and conversion path.
Transform
Expert-to-Authority Cohort
Evidence-gated
Test the complete method with accountable, consent-based learning.
Operate
Sovereign Authority Kit
Research track
Package the graphs, skills, workflows, and governance as a deployable operating layer.
Funnel intelligence
Three channels. One diagnostic. Segmented conversion.
LinkedIn creates category authority. YouTube creates depth and trust. Instagram creates identity and reach. They should not lead to three separate funnels.
Argument
Point of view, proof, operator lessons, and category language.
YouTube
Depth
Framework walkthroughs, transformations, teardown, and long-form trust.
Identity
Visible life, compressed insight, social proof, and emotional recognition.
Shared conversion spine
Diagnostic → personalized result → free skill → activation → core transformation → operating kit → consented evidence returned to the system.
Open implementation stack
Use proven substrates. Build the proprietary intelligence graph.
Your moat is not a form builder, email sender, or generic agent runtime. It is the governed expert canon, audience evidence, transformation data, and learning loop.
Vercel AI SDK
Streaming AI interfaces, structured generation, and tool-calling in TypeScript.
OpenAI Agents SDK
Agent orchestration, handoffs, guardrails, tracing, and governed execution.
LangGraph
Stateful, durable graphs for multi-step expert and audience workflows.
Typebot
Open-source conversational quizzes, diagnostics, and branching lead capture.
Formbricks
Open-source surveys and product feedback for continuous audience intelligence.
Trigger.dev
Durable background jobs for enrichment, content repurposing, and follow-up.
Prompt pack
Prompts are interfaces. Evidence is the substrate.
These prompts work because they enforce sequence and output contracts. They become substantially stronger when grounded in the expert and audience graphs.
Download all promptsExtract the Expert Canon
Act as an expert-canon architect. From the supplied material, identify: recurring decisions, named and unnamed methods, contrarian beliefs, proof, stories, diagnostic questions, failure modes, and language that should remain verbatim. Produce a governed canon with provenance, confidence, contradictions, and missing evidence. Do not generate positioning until the canon is complete.
Synthesize Audience Demand
Act as an audience-intelligence analyst. Cluster the supplied calls, comments, emails, surveys, and sales notes by desired outcome, triggering event, current workaround, objection, urgency, willingness to pay, and exact language. Separate frequently mentioned problems from commercially valuable problems. Return evidence counts and representative quotes.
Build the Authority Position
Using the expert canon and audience signal graph, select one authority position. State the costly problem, ideal buyer, existing alternatives, contrarian point of view, named mechanism, proof stack, category language, and claims that must not be made yet. Optimize for recognizability and defensibility, not breadth.
Engineer the Product Ladder
Convert the authority position into a product stepladder. Define the free diagnosis, paid activation, core transformation, deployable operating kit, and continuity layer. For each: buyer state, promised transition, mechanism, time-to-value, evidence required, delivery model, price logic, next purchase, and the metric that proves the offer works.
Design the Funnel Learning Loop
Design one traffic-to-revenue system across LinkedIn, YouTube, and Instagram. Route every channel into one diagnostic, segment by authority constraint, prescribe the correct next experience, and define the webinar, challenge, quiz, email, cross-sell, and retargeting logic. Include attribution, experiment cadence, stop conditions, and how new evidence updates the canon and offers.
Live field test
Put the diagnostic in the room.
Every completion creates a private result for the participant. Only consented, minimized signals should inform the next version of the product.