combined
Yes. Let's make it concrete with Brian Tracy as the sales layer.
Assume you now have these compiled inside Aria:
$100M Leads → translated into Troy/Chimba doctrine $100M Offers → translated into Troy/Chimba doctrine $100M Money Models → translated into Troy/Chimba doctrine Brian Tracy sales books → translated into Troy/Chimba doctrine Your transcripts → voice/personality Chimba product/proof/lead-magnet data → factual truth
Now Brian Tracy has a specific job.
What Brian Tracy adds
Hormozi Leads tells Aria:
How do we acquire attention and turn strangers into engaged leads?
Hormozi Offers tells Aria:
How do we construct and communicate something worth buying?
Money Models tells Aria:
How does the customer move economically through acquisition, upsells and continuity?
Brian Tracy gives Aria another perspective:
What has to happen inside the prospect's head for a sale to occur?
That's where things like needs, motivations, questioning, trust, objections, perceived risk, value, credibility, buying decisions, closing, and follow-up become useful.
And because you've run Tracy through your transformation system, Aria isn't sitting there reading Brian Tracy stories and suddenly writing like a 1980s sales seminar.
You've compiled those principles into how Project Chimba sells.
For example, imagine the original sales doctrine boils down to something like:
Understand the customer's real problem before presenting your solution.
Your transformation process could turn that into a Chimba operating rule:
Don't assume the trader needs a robot. Diagnose what manual execution is costing him first.
Maybe he's missing setups because he sleeps.
Maybe his strategy covers 15 symbols and he realistically watches four.
Maybe execution consistency is his problem.
Maybe he already automated it and Chimba isn't relevant.
Find the problem before presenting Strategy-to-System.
Now that's available to every content generation call.
So Yin asks for a LinkedIn post.
The content robot doesn't merely think:
I need a good hook.
It potentially thinks:
LEADS: I need to earn attention.
SALES: I should expose/diagnose a relevant buying problem.
OFFERS: I know which component of Strategy-to-System resolves that problem.
COPYWRITING: I need to communicate this persuasively.
VOICE: It needs to sound like Troy.
TRUTH: I can't invent performance or customer claims.
LEAD MAGNET: If appropriate, there's an assessment that continues this diagnosis.
That's a much more intelligent content-generation problem.
Take the manual-monitoring problem
Without the doctrine stack, generic AI writes:
"Are you tired of watching charts all day? Project Chimba can automate your trading strategy so you never miss an opportunity. Contact us today!"
Garbage.
With Leads alone, you could get:
Your trading strategy might cover 12 markets. You don't.
Then useful material explaining the difference between the opportunity surface of the strategy and the human's ability to monitor it.
Much better.
Now add Brian Tracy-derived sales doctrine.
The robot understands that it shouldn't necessarily announce the solution immediately. It can get the trader mentally answering diagnostic questions:
How many instruments does your strategy actually work on?
How many do you watch?
How many hours are you actually available?
What happens to a valid setup at 3:17 in the morning?
What happens when two setups occur simultaneously?
What happens when you're working, driving, eating, sleeping, or just don't feel like staring at another fucking chart?
Now the prospect is participating in the sales argument.
And then Aria can conclude:
The first automation question isn't whether a robot could make you more money.
It's whether the strategy you've already built has outgrown your personal capacity to execute it.
That's content. But it's doing sales work.
And that's where the Tracy material could become valuable.
Now imagine this across 500 pieces
This is where I think it gets particularly useful.
Don't instruct Aria:
"Use Brian Tracy in every post."
Instead, give the content planner a collection of buyer beliefs and sales problems derived from the Tracy doctrine.
One post might reduce perceived risk.
Another demonstrates competence.
Another exposes an unrecognized problem.
Another handles the Fiverr/$500-developer objection.
Another establishes ownership as important.
Another explains why specification happens before coding.
Another explains why we don't promise profitability.
Another demonstrates transparency through logs.
Another shows why production and R&D are completely separated.
Another demonstrates what source-code ownership actually gives the customer.
So you're effectively letting Aria conduct sales education at scale.
Someone could consume 30 Chimba posts before ever speaking with you.
And those 30 pieces haven't just entertained them.
They may have systematically taught that prospect:
I have an execution-capacity problem.
My strategy needs to be formally specified before anybody codes it.
Cheap code isn't necessarily the same as a production operation.
I want to own my source.
I want to see why the robot makes decisions.
Historical testing should validate implementation rather than promise me riches.
I don't want experimental optimization touching my live account.
These guys seem to understand that distinction.
$10K is being compared against a much larger deliverable than "write me an EA."
Then they hit the application.
Brian Tracy has effectively been helping with the sales conversation before you ever met them.
And your transformation idea makes it considerably better
I wouldn't put raw Tracy + raw Hormozi + raw everything into every call forever.
I'd do exactly what you've been describing:
Brian Tracy → Troy/Chimba Sales Playbook
Not just rewriting his sentences into your dialect. Translate the concepts into your actual business.
So perhaps a Tracy concept becomes:
SALES PRINCIPLE: Diagnose before prescribing.
WHAT THIS MEANS AT CHIMBA: Determine whether the trader has a defined strategy and an execution problem before positioning automation.
CONTENT APPLICATION: Use diagnostic questions and examples that cause qualified traders to recognize execution constraints.
OUTREACH APPLICATION: Ask whether they're executing manually or already automated before pitching.
SALES APPLICATION: Understand strategy, current workflow, execution limitations and desired outcome before walking through Strategy-to-System.
DON'T: Manufacture pain, promise missed profits, assume every trader needs automation, or prescribe Product One before understanding the situation.
CHIMBA EXAMPLE: 12 eligible symbols × 6 hours available versus 24-hour market availability.
That's incredibly usable context for an LLM.
And if you do that with several strong Tracy books, you don't necessarily end up with three Tracy books inside Aria.
You end up with one:
Chimba Sales Doctrine
containing the useful principles you've extracted from all of them, reconciled with Chimba, expressed through your examples and communication style.
Then the final machine is almost a little marketing department:
Hormozi Leads = acquisition strategist.
Hormozi Offers = offer strategist.
Hormozi Money Models = monetization strategist.
Brian Tracy = sales trainer.
Your copywriting source = copy chief.
Your transcripts = voice director.
Chimba's database = product expert/fact checker.
Yin/Yang = production department.
Aria = the system coordinating all of it.
That's the version of adding sales books that I think materially improves what you're building. You're not adding Brian Tracy because "more books = smarter AI."
You're giving the content robot a formal body of sales knowledge so that content can accomplish sales objectives without every piece turning into an advertisement.