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// 13-advisor decision engine · internal, productisable

AI Strategic Advisor

By Albert Triolo, Gibson Promotions ·
// THE BASICS

What is an AI strategic advisor?

An AI strategic advisor is a multi-framework decision engine that applies documented strategic frameworks from named published thinkers to a specific business call, surfaces the areas of agreement and tension between them, and produces a single recommendation. Gibson Promotions built its own, running 13 advisors: Hormozi Value Equation, Kennedy Direct Response, Schwartz Awareness Stages, Godin Smallest Viable Market, Brunson Value Ladder, Gerber Franchise Prototype, Voss Tactical Empathy, Miner NEPQ, Cialdini Influence, Vaynerchuk Attention Arbitrage, Miller StoryBrand, Cardone 10X, and Ramsey Clarity Test. A real advisory board costs two hundred thousand dollars a year. A 90-second board review covers the same framework depth at the moment the decision is live. The engine has informed every Gibson V4 content and product call.

“A real advisory board would cost two hundred thousand dollars a year. We did not have that. So we built thirteen advisors as documented frameworks, each from a named published thinker, and wired them to run against every major decision. A 90-second review beats a 90-day consulting engagement when the frameworks are already loaded and the decision is specific.”

Albert Triolo, founder of Gibson Promotions

“Every major product and content call at Gibson gets run through the board before it ships. Schwartz Awareness Stages, Hormozi Value Equation, Miller StoryBrand applied to a real decision with a real deadline, not as a hypothetical case study. The board catches the obvious flaw before it becomes a public mistake.”

Albert Triolo, founder of Gibson Promotions
13-advisor decision engine · internal, productisable

AI Strategic Advisor

founder note

// A note from the founder

We started building this because we kept making decisions in the same way every business does and we could see it was wrong. One person in the room. Time pressure. The framework you happened to remember from the book you read last month. Three weeks later, the obvious flaw shows up in retrospect, and the cost of correcting it is ten times the cost of catching it at the table. A real advisory board would cost two hundred thousand dollars a year and we did not have that. So we built our own.

Thirteen advisors, each a documented framework from a published thinker. Hormozi Value Equation. Kennedy Direct Response. Schwartz Awareness Stages. Godin Smallest Viable Market. Brunson Value Ladder. Gerber Franchise Prototype. Voss Tactical Empathy. Miner NEPQ. Cialdini Influence. Vaynerchuk Attention Arbitrage. Miller StoryBrand. Cardone 10X. Ramsey Clarity Test. Per decision class, the engine selects the right four to six advisors, applies each framework with specificity (not paraphrase), and surfaces the agreement, the tension, and the one-thing recommendation.

Strategic decisions get pressure-tested against frameworks that would otherwise cost six figures to access. We use it ourselves on every major product and content call. A ninety-second review beats a ninety-day consulting engagement. Productisable on request for clients whose decision velocity matters.

Albert Triolo, Founder, Gibson Promotions

Internal at Gibson. Has informed every V4 content and product call. Productisable on request.

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// THE ALTERNATIVES

How does an AI strategic advisor compare with the alternatives?

Most founders pressure-test decisions with the framework they happened to read last month. The AI strategic advisor runs all thirteen frameworks against every major call.

  • Real advisory board

    Two hundred thousand dollars a year and up. Geographic and schedule constraints. Members bring their own frameworks, which may or may not suit the specific decision. Effective when access is real and the relationship is strong; prohibitive for most Australian SMBs.

  • Management consulting engagement

    The 90-day consulting engagement costs what it costs because discovery is included in the fee. The AI strategic advisor has the frameworks pre-loaded. The operator's brief is the discovery input. The analysis runs in 90 seconds. Every decision logged.

  • Single-founder gut check

    The framework you happened to read last month. One perspective, one bias, one blind spot. Decisions made under time pressure with an incomplete view of the alternatives. Fast, but structurally unreliable for major calls because no tension surfaces to challenge the first instinct.

  • 13-advisor AI engine (framework-per-decision)

    13 named frameworks. 4 to 6 selected per decision class. Surfaces agreement, tension, and one-thing recommendation. 90-second review. Every decision and rationale logged, not lost in a meeting room. Productisable on request for operators where decision velocity is a competitive factor.

// FREQUENTLY ASKED

Frequently asked questions

What is an AI strategic advisor?

An AI strategic advisor is a decision engine that applies documented strategic frameworks from named published thinkers to a specific business call, surfaces areas of agreement and tension, and produces a single recommendation. Gibson's engine runs 13 advisors including Hormozi Value Equation, Miller StoryBrand, Voss Tactical Empathy, and Cialdini Influence.

What frameworks does the Gibson AI Strategic Advisor run?

The 13 advisors are: Hormozi Value Equation, Kennedy Direct Response, Schwartz Awareness Stages, Godin Smallest Viable Market, Brunson Value Ladder, Gerber Franchise Prototype, Voss Tactical Empathy, Miner NEPQ, Cialdini Influence, Vaynerchuk Attention Arbitrage, Miller StoryBrand, Cardone 10X, and Ramsey Clarity Test. For each decision class, 4 to 6 are selected and applied with specificity, not paraphrased.

How is an AI strategic advisor different from a consulting engagement?

A consulting engagement costs what it costs because discovery is included in the fee. The AI strategic advisor has the frameworks pre-loaded. The operator's brief is the discovery input. The analysis runs in 90 seconds. Every Gibson product and content call goes through the board before it ships, not after the decision has been made.

What does the AI Strategic Advisor produce for each decision?

For each decision class, the engine selects 4 to 6 advisors, applies each framework with specificity rather than paraphrase, and surfaces three outputs: the areas where the frameworks agree, the areas of tension between them, and one single recommended action. Every decision and its rationale is logged, not lost in a meeting room.

Is the AI Strategic Advisor available to Gibson clients?

The engine is currently internal at Gibson and has informed every V4 content and product call. It is productisable on request for operators where decision velocity is a competitive factor. The same 90-second board review pattern Gibson applies internally is the one applied before every major client recommendation is made.

// MORE ON THIS
// MORE SANDBOX BUILDS

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