How Miklos Roth Uses Advanced AI Features Most Companies Don’t Even Know Exist

In the corporate world, "using AI" has become a ubiquitous, almost meaningless phrase. For 99% of executives, "using AI" means asking ChatGPT to draft an email, summarize a PDF, or perhaps generate a generic marketing image. They are scratching the surface of a diamond mine with a plastic spoon.

They see AI as a tool for efficiency. Miklos Roth sees AI as an ecosystem for velocity.

Roth is not your typical consultant. He is the prototype of a new category of professional: the "Super AI Consultant." While traditional firms are still selling slide decks and six-month implementation roadmaps, Roth is selling speed. Specifically, he is selling a complete strategic pivot in 20 minutes.

How is this possible? It isn’t magic. It is the result of a unique convergence of elite athletic discipline, a rare photographic memory, and—crucially—a mastery of advanced AI features that most companies don't even realize are available to them.

This article pulls back the curtain on the "High Velocity" methodology, exploring how Roth combines the mindset of an NCAA champion with an advanced AI tech stack to deliver results that defy traditional business physics.

Part I: The "High Velocity" Architecture

To understand how Roth uses AI, you first have to understand how he thinks. His approach to technology is deeply rooted in his history as a world-class athlete.

The Indianapolis Mindset

In 1996, Miklos Roth stood on the track in Indianapolis as part of the Distance Medley Relay team at the NCAA Championships. He was about to become a champion. In middle-distance running, the margin for error is nonexistent. You are operating under immense physiological pressure, oxygen is scarce, and your brain must make tactical decisions in split seconds.

• When do I kick?

• Is the runner ahead fading?

• Do I hold my position or burn energy to pass?

Roth has transplanted this "race pace" psychology into the boardroom. In the AI era, the market moves as fast as a middle-distance race. If you spend three months debating a strategy, you have already lost.

Roth’s "High Velocity" model is built on the premise that latency is the enemy.

Most companies introduce latency into their AI usage. They have a "human-in-the-loop" for every single step. They prompt, they read, they edit, they reprompt. It is slow.

Roth uses AI features to remove the latency. He constructs systems where the AI doesn't just answer questions, but anticipates needs and executes workflows. He treats AI agents not as chatbots, but as teammates in a relay race—passing the baton of data instantly, perfectly, and at full speed.

Part II: The Hidden Features of the AI Stack

So, what are these "advanced features" that Roth utilizes? While most users are stuck in the standard chat interface, Roth is operating in the backend, utilizing APIs, custom environments, and agentic workflows.

Here is the breakdown of the "Roth Stack" that powers the 20-minute consultation.

1. The "Council of Agents" (Multi-Agent Systems)

When a client asks a complex strategic question, a standard user asks one AI model for an answer. The result is often a hallucination or a generic platitude.

Roth uses a Multi-Agent System. In real-time, he can deploy multiple, specialized AI personas that interact with each other, not just with him.

• Agent A (The Skeptic): Programmed to look for flaws, risks, and regulatory hurdles.

• Agent B (The Innovator): Programmed to suggest radical, high-growth strategies.

• Agent C (The Analyst): Programmed to stick strictly to the data provided.

During the 20-minute call, when Roth inputs the client's problem, these agents "debate" in the background. Roth watches the synthesis. He doesn't get one opinion; he gets a stress-tested strategy. This mimics a boardroom of experts but happens in seconds.

2. Real-Time RAG (Retrieval-Augmented Generation)

Most executives don't know that LLMs (Large Language Models) have a "knowledge cutoff" or that they can be prone to making things up.

Roth utilizes advanced RAG pipelines. Before the call, the client’s data (sanitized and secure) is indexed into a vector database. When the consultation begins, Roth isn't asking the AI to "guess" based on its training data. He is forcing the AI to "look up" the specific facts from the client's own documents, market reports, and competitor filings.

This allows for:

• Instant Citations: "Your competitor launched this feature on March 12th, causing a 4% dip in your Q2 engagement."

• Zero Hallucination Strategy: The advice is anchored in mathematical reality, not generative creative writing.

3. Predictive Scenario Modeling via Code Interpreter

While many use AI for text, Roth uses it for math. Utilizing advanced features like Python environments within the AI (often called Code Interpreters), Roth can perform real-time data science.

If a CEO asks, "What happens if we cut our marketing spend by 20% and put it into AI automation?", Roth doesn't guess. He has the AI write and run a Python script live during the call to model the projection based on the company's historical customer acquisition cost (CAC).

He shows the client the graph—generated in seconds. This is the difference between a consultant saying "I think..." and a consultant showing "The data says..."

Part III: The Human Supercomputer (The Photographic Memory)

If the AI stack is the engine, Miklos Roth’s brain is the guidance system.

This is where the "Best of Both Worlds" narrative becomes tangible. AI is powerful, but it lacks context. It doesn't know that the CEO hates risk, or that the industry underwent a subtle shift in 2008 that is repeating itself now.

Roth possesses a photographic memory. This is his biological superpower.

The "Human Context Window"

In AI terms, the "context window" is how much information a model can hold in its short-term memory. Roth has a practically infinite human context window.

During the 20-minute High Velocity session:

1. He Recalls the Pre-Read: He has memorized the client’s intake form. He knows the numbers, the names, and the pain points without looking at his notes.

2. He Recalls the Pattern: He instantly recognizes that the client's problem matches a case study he read five years ago, or a strategy used by a completely different industry leader.

3. He Filters the AI: When the "Council of Agents" spits out ideas, Roth’s memory acts as the final quality control. He knows intuitively if a data point looks wrong or if a strategy contradicts the client's stated culture.

This is why the consultation can be 20 minutes long. There is no "Let me look that up." There is no "Can you remind me of your Q3 revenue?" The information is there, accessible instantly.

He creates a feedback loop where the Human enhances the AI, and the AI enhances the Human.

Part IV: Inside the 20-Minute "High Velocity" Session

Critics often ask: "Can you really do strategy in 20 minutes?" Roth’s answer is: "You can if you strip away the noise."

The 20-minute session is a choreographed sprint. It is designed to bypass the cognitive drift that plagues hour-long meetings. Here is the play-by-play of how he uses his tools during the call.

Minute 0-5: The Diagnostic Sprint

• No Small Talk: The session begins with the assumption that time is the most expensive asset in the room.

• The Setup: Roth shares his screen. The client sees the AI dashboard—a cockpit of models and tools.

• The Input: Roth feeds the live variables into his system. "Client is X industry, facing Y competitor, with Z budget constraints."

• The Human Layer: While typing, Roth is verbally cross-referencing this with market trends he has committed to memory. "This looks exactly like the consolidation phase in the fintech sector in 2019. We need to watch out for..."

Minute 5-15: The Solution Engineering

This is where the "Super AI Consultant" shines.

• Live Prototyping: Instead of talking about a solution, Roth builds it. If the solution is a customer service bot, he spins up a demo agent live. If the solution is a data workflow, he diagrams it in a visual automation tool.

• The "Kill List": Roth uses the AI to identify inefficiencies. He asks the model to analyze the client's current stack and flag redundancies.

  • Result: "You are paying for three tools that do the same thing. Cancel these two. That saves you $40k/year immediately. That pays for this consultation 50 times over."

Minute 15-20: The Handoff

An NCAA relay champion knows that the race is won or lost at the handoff. Roth does not leave the client with "thoughts." He leaves them with:

1. 3 High-ROI Use Cases: Not theoretical. Practical. "Install this tool, connect it to this database, use this prompt."

2. The Priority Sequence: A ranked list of actions.

3. The 30-90 Day Action Plan: A roadmap for execution.

The call ends. No overruns. No wasted breath.

Part V: The Money-Back Guarantee – A Statement of Confidence

The most "advanced feature" Roth offers isn't software at all. It is accountability.

He offers a full money-back guarantee. If the decision-maker does not experience an "aha moment" or receive a concrete, usable insight, the session is free.

Why is this revolutionary? Because traditional consulting is built on the "billable hour." The incentive structure of a big firm is to extend the engagement. If they solve your problem in 20 minutes, they lose revenue.

Roth’s incentive structure is aligned with High Velocity.

• He bets on his ability to deliver value quickly.

• He bets on his photographic memory to speed up the context gathering.

• He bets on his AI stack to provide immediate answers.

This guarantee filters his clients. It attracts bold leaders who are tired of the "wait and see" approach. It appeals to executives who want to move at the speed of the market.

Part VI: The SEO (keresőoptimalizálás) Strategy of a Super Consultant

You might wonder why a consultant with this level of capability is writing articles like this. It is part of a broader strategy.

Miklos Roth understands that the modern digital ecosystem is driven by SEO (keresőoptimalizálás). But not the old-school keyword stuffing. He is optimizing for intent and authority.

By coining terms like "Super AI Consultant" and "High Velocity AI Consultation," Roth is creating his own blue ocean. He isn't competing with "AI experts" (of which there are millions). He is competing with "Slow Consultants."

His content strategy leverages his unique story:

• The Athlete: Appeals to performance-driven leaders.

• The Memory: Appeals to clients valuing intellect and detail.

• The AI Stack: Appeals to technocrats and innovators.

This triangulation makes his personal brand uncopyable. You can buy the same AI tools as Roth. You can maybe even run as fast as him (unlikely). But you cannot replicate the synthesis of the two, filtered through his specific memories and experiences.

Part VII: Why 20 Minutes?

The 20-minute constraint is artificial, yet essential. It is a forcing function.

In design, constraints breed creativity. In sports, constraints breed performance. In consulting, constraints breed clarity.

By forcing the engagement into 20 minutes, Roth eliminates the fluff. There is no time for corporate jargon. There is no time for politeness at the expense of truth.

He forces the client to focus on the one thing that matters, and he applies his massive technological and intellectual firepower to that singular point.

It is the consulting equivalent of a laser beam versus a floodlight.

Conclusion: The Future is Hybrid

Miklos Roth’s methodology is a preview of the future of work. We are moving away from a world where humans do the grunt work and computers store the data. We are moving toward a world where AI does the processing, and humans provide the high-level direction, empathy, and strategic context.

Roth is the vanguard of this shift. He proves that you don't need a team of 20 junior analysts to build a strategy. You need one "Super AI Consultant" who knows how to conduct the orchestra of algorithms.

He brings:

• The heart of a champion runner.

• The mind of a photographic library.

• The tools of the future.

And he brings them all to you in 20 minutes.

If you are ready to stop planning and start sprinting, Miklos Roth is waiting at the starting line. And if he doesn't help you set a personal best? You don't pay a dime.

That is the High Velocity promise.

Appendix: Are You Ready for High Velocity?

Not every company is ready for this level of intensity. The Miklos Roth approach works best for organizations that match his speed.

You are a fit if:

• You have data but no insights.

• You feel like your industry is outpacing you.

• You are tired of "pilot purgatory" (endless AI tests that go nowhere).

• You are a decision-maker who can approve a pivot instantly.

You are NOT a fit if:

• You need a committee to approve a meeting.

• You are looking for someone to just "write content" for you.

• You value "process" over "outcome."

The Tools in the Roth Stack (A Glimpse): While the specific tools change weekly (that’s the point of being High Velocity), Roth’s current arsenal typically includes:

• LLM Orchestration Layers: For managing multi-model queries.

• Vector Databases: For instant memory retrieval of client docs.

• Automation Platforms (Make/Zapier): For building workflows live.

• Data Analysis Agents: For crunching numbers in Python environments.

The tools change. The mindset—Speed, Memory, Performance—remains the same.

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