AI can process millions of conversations. It still can't read the room.

After 15+ years leading business development, strategic negotiations, and commercial transformation at companies like PwC, Michelin, Stellantis, and Itaú-Unibanco, I found the gap no one was filling:

AI models are trained on data. Not on judgment.

I work at that intersection — bringing structured human experience into AI behavioral development, prompt engineering, and real-world interaction design.

Let’s talk

📧 flavio@calltheshots.ai

I train AI to do what no model does natively — adapt, influence, and connect like a senior human executive with 15 years of high-stakes experience.

The Current Reality

The Gap Nobody's Solving

The most advanced AI models still fail in the moments that matter most — not because of capability, but because of behavioral calibration.

They respond accurately, but don't adapt to the person in front of them.

They follow instructions, but miss the emotional context of a conversation.

They sound professional, but lack the timing, warmth, and strategic nuance of a seasoned executive.

This isn't a model problem. It's a human experience problem. And that's exactly where I work.

What I do:

I help companies and AI teams close the gap between technical capability and human effectiveness.

My work sits at the intersection of behavioral science, executive communication, and applied prompt engineering — translating 15+ years of real-world business experience into structured AI training frameworks.

Concretely, this means:

Designing and testing behavioral prompts for high-context business scenarios

Developing interaction frameworks for AI agents in negotiation, client management, and executive communication

Providing structured human feedback (RLHF) grounded in real industry experience — automotive, real estate, insurance, technology, and financial services

Evaluating AI responses against how senior human professionals would actually handle the same situation

I don't replace your AI team. I give them what they don't have: judgment built from experience.

The Differentiator You Won't Find on a Resume

Most people training AI come from engineering or linguistics. I come from the field.

I've negotiated R$84M contracts. Built sales operations from scratch. Led teams across automotive, real estate, insurance, and tech. Worked across cultures, managed crises, and closed deals that required reading people — not just data.

That lived experience is the training data AI can't generate on its own.

When I evaluate an AI's response, I'm not checking syntax or policy compliance. I'm asking: Would a senior executive trust this? Would a skeptical client believe it? Does it feel human?

That's a different standard. And it produces different results.

Formal AI Training Complementing 15+ years of executive experience with structured AI education: — AI Strategy and Governance, Wharton / UPenn — Artificial Intelligence for Business, Wharton / UPenn — Successful Negotiation, University of Michigan — Start Writing Prompts like a Pro, Google

Services

How I Can Work With You

Behavioral AI Consulting Structured evaluation and refinement of how your AI communicates in real business contexts — negotiation, executive outreach, conflict resolution, client management.

Prompt Engineering & Interaction Design Development of advanced prompt frameworks grounded in industry-specific human experience. Tested across leading LLMs.

Domain Expertise — AI Training Data & Feedback Specialized human feedback for RLHF pipelines in sectors where I have direct executive experience: automotive, real estate, construction, insurance, financial services, and technology.

Advisory & Strategic Collaboration Open to consulting engagements, strategic partnerships, and executive roles within AI companies or teams building human-centered AI products.

Real Examples – Before vs After

💰 Negotiation under price pressure

Default AI: “We can offer a discount.”

After training: “That’s a fair point — I’ve been through similar situations in several major deals. Let’s work together on a structure that protects your budget while ensuring quality delivery.”

🔴 Handling client frustration (project delay)

Default AI: “We apologize for the inconvenience.”

After training: “I completely understand your frustration — especially the impact this delay has caused. We’ll send an updated timeline today with full visibility and discuss compensation.”

📈 Business expansion opportunity

Default AI: “We have more services you may like.”

After training: “Based on your strong results and the current market, there are several expansion opportunities worth exploring. What’s your current priority?

😏 Dealing with AI skepticism

Default AI: “AI is efficient and useful.”

After training: “Fair enough — AI does get overhyped. Where it really delivers is in improving decision-making and execution. For now, at least!”

🏗️ First contact with a CEO

Default AI: “Hello, I’d like to schedule a meeting.”

After training:“Congratulations on your latest sustainable project. In this sector, specialized labor is becoming a major bottleneck. How is your company addressing this challenge?”

Tested across leading LLMs.

“People who are able to see around corners are truly smart and their value is incredible. To preempt problems before they show up, just because you feel the vibe, and the vibe came from a combination of data, analyses, first principle, life experience, wisdom, sensing other people. That vibe, that´s smart, that I think is going to be the future definition of smart”

Jensen Huang (NVIDIA)