Think Like a Silicon Valley CEO: Build Your First AI Prototype
Go From AI User to AI Operator, Discover Your AI Fluency Level, and Start Building Real Business Tools Without Writing Code
Alex Salinsky challenges entrepreneurs to move from chatting with AI to operating it — assessing their AI fluency across five dimensions and learning to build practical, reusable business tools that exist beyond the chat window, no code required.
Session Overview
Are you using artificial intelligence, or are you learning to operate it?
In Think Like a Silicon Valley CEO: Build Your First AI Prototype, software developer, educator, and AI adoption strategist Alex Salinsky challenges entrepreneurs to rethink what it means to use AI effectively. Drawing on approximately ten years of software development experience in Silicon Valley, Alex introduces the distinction between an AI user and an AI operator.
Most entrepreneurs begin by using ChatGPT, Claude, or another AI assistant to answer questions, write content, conduct research, or complete individual tasks. While these activities can improve productivity, Alex explains that a more significant opportunity emerges when entrepreneurs learn to build tools and applications that exist beyond individual conversations.
Through his company, Humans vs. Robots, Alex helps business owners, professionals, and teams develop the confidence and skills to build practical AI-powered solutions tailored to their own needs. During the session, he guides participants through a five-question AI fluency assessment covering everyday AI adoption, judgment, technical creation, systems integration, and knowledge sharing. This assessment helps participants evaluate whether they primarily use AI for isolated tasks or have begun building repeatable capabilities that influence how their organizations operate.
Alex also discusses his approach to hands-on learning, including live build days, four-week cohorts, and private organizational training programs. His philosophy emphasizes learning through creation — rather than giving every participant the same project to reproduce, his workshops encourage participants to build something directly relevant to their own lives or businesses.
Attendees discover how to assess their AI capabilities, identify opportunities to become more effective operators, and begin thinking about the real-world tools they could create with AI. The central lesson is that AI fluency develops through practice, discernment, integration, and the ability to turn ideas into useful working systems.
Key Takeaways
- Using AI and operating AI are different capabilities. Alex distinguishes between people who use chat assistants for individual tasks and people who build reusable tools that deliver ongoing value beyond the conversation.
- The question is not simply whether you use AI. More useful questions involve how you use it, at what level, and what the technology allows you to accomplish.
- AI operators build products beyond chat conversations. Alex emphasizes creating tools that continue to exist and function after the original chat is closed — tools that do real work even when no one is prompting them.
- AI fluency can be evaluated across multiple dimensions. His assessment examines usage, judgment, creation, integration, and the ability to teach or influence others — a complete picture of operational capability.
- Judgment matters as much as technical ability. Advanced AI adoption includes developing standards for determining whether an AI-generated result is reliable enough to use in real business work.
Transcript
Full searchable transcript of this session. Read along or jump to any moment with timestamped paragraphs.
Resources
- Watch the SessionFull AI Digital Growth Summit presentation (August 14, 2026 broadcast)
- Full TranscriptRead the complete session transcript
- AI Fluency ScorecardAlex's five-question AI fluency assessment across everyday use, judgment, creation, systems integration, and knowledge sharing — each dimension scored 1–4 (link coming soon)
- First AI Prototype PlannerA recommended follow-up exercise based on Alex's operator-first philosophy — define one useful tool that could exist beyond the chat window (link coming soon)
- Humans vs. RobotsAlex's AI education and business empowerment company — practical building skills and helping people maintain control over how AI is used
- Four-Week AI Building CohortsVirtual cohorts with two hours of instruction each week for four weeks; participants work on their own applications and tools, with an optional in-person component in Medellín, Colombia
- Private Team CohortsOrganization-specific AI training designed to help employees develop practical AI capabilities while working collaboratively on relevant projects
- Live Build Days & RetreatsHands-on AI building experiences offered at conferences, company events, and in-person retreats
All Key Takeaways
Using AI and operating AI are different capabilities
Alex distinguishes between people who use chat assistants for individual tasks and people who build reusable tools that deliver ongoing value beyond the conversation.
The question is not simply whether you use AI
More useful questions involve how you use it, at what level, and what the technology allows you to accomplish.
AI operators build products beyond chat conversations
Alex emphasizes creating tools that continue to exist and function after the original chat is closed — tools that do real work even when no one is prompting them.
AI fluency can be evaluated across multiple dimensions
His assessment examines usage, judgment, creation, integration, and the ability to teach or influence others — a complete picture of operational capability.
Judgment matters as much as technical ability
Advanced AI adoption includes developing standards for determining whether an AI-generated result is reliable enough to use in real business work.
Building is a progression, not a starting requirement
Alex's assessment recognizes people who are just experimenting, using AI for tasks, integrating workflows, and creating tools used by others — each a valid stage of growth.
System integration marks an important advancement
More sophisticated users connect their AI-powered tools to the technology and processes their organizations already use.
Teaching others demonstrates another level of fluency
Alex considers the ability to share repeatable methods and influence team adoption part of advanced AI capability.
Practical learning should be personalized
His workshops focus on helping participants create solutions for their actual circumstances rather than reproducing generic tutorials.
Building confidence requires hands-on practice
Alex emphasizes live activities and real projects rather than relying exclusively on demonstrations.
AI adoption can change team behavior
He describes training programs designed to help employees develop more ownership and confidence in solving problems.
Group learning can strengthen collaboration
When employees build within the same training environment, they can share ideas and learn from one another's work.
Consistency supports adoption
Alex uses four-week cohorts with recurring sessions to encourage learning habits rather than one-time exposure.
AI tools are not a substitute for clear thinking
He emphasizes learning frameworks and applying structured approaches between imagining a solution and building it.
Business owners can begin developing builder-level skills
Alex's central message is that creating useful AI-powered tools is becoming more accessible to people without traditional programming experience.
What You'll Learn
Move From User to Operator
Understand the difference between asking AI for answers and building tools that perform useful work beyond the chat.
Assess Your AI Fluency
Evaluate your current AI capabilities through five practical dimensions — usage, judgment, creation, integration, and knowledge sharing.
Think Beyond the Chat Window
Explore how AI-powered applications can become reusable business tools that keep working after the conversation ends.
Build Around Your Own Needs
Learn why Alex encourages participants to create personally relevant solutions rather than copy generic tutorials.
Develop AI-Enabled Teams
Discover how shared AI learning can encourage ownership, confidence, and organizational collaboration.
Turn Ideas Into Prototypes
Understand the mindset and foundational skills needed to progress from a business idea toward a working AI solution.
The next stage of AI adoption is moving beyond chatting with AI and learning to build practical tools that continue delivering value outside the chat window.
AI fluency develops through practice, discernment, integration, and the ability to turn ideas into useful working systems.
Frameworks From This Session
The Five Dimensions of AI Fluency
- 11 · Everyday AI Use — how deeply is AI integrated into your work?
- 22 · Judgment & Discernment — how do you evaluate AI-generated outputs?
- 33 · Building & Creation — what have you created using AI?
- 44 · Systems Integration — how does AI connect with your existing technology?
- 55 · Knowledge Sharing — how do you help others develop their AI capabilities?
AI User vs. AI Operator
- 1AI User — works inside the conversation; uses AI for answers, writing, summarization, research, or occasional workflow assistance
- 2AI Operator — builds usable capabilities; creates tools or applications that exist outside the chat and can be integrated into business operations
AI Fluency Assessment (5 Questions)
- 1Q1 · How does AI show up in your day?
- 2Q2 · How do you evaluate AI-generated answers?
- 3Q3 · What have you actually built with AI?
- 4Q4 · How does AI connect with your existing systems?
- 5Q5 · How do you share what you learn about AI?
- 6Each response is scored 1–4, producing a total from 5 to 20
The Personalized Build Approach
- 1Identify — what problem or opportunity matters to you?
- 2Imagine — what useful tool could address the need?
- 3Learn — what frameworks or skills are necessary?
- 4Build — create a first working version through hands-on practice
- 5Integrate — connect the result to the people or systems that need it
Tools Mentioned
The tools matter less than the workflow — these are the ones referenced in this session.
ChatGPT
Example of a conversational AI interface for individual tasks.
Claude
Example of an AI model used for tasks and potential tool creation.
Large language models
Underlying technology behind AI chat systems.
Zoom
Delivery of virtual AI-building cohorts.
AI-powered applications
Tools created outside the chat window for ongoing use.
Humans vs. Robots
Alex's company providing AI training and build experiences.
Ask About Alex's Session
Have a question about moving from AI user to AI operator, assessing your AI fluency, building your first AI prototype without code, or helping your team develop practical AI capabilities? Ask the Summit AI and get an answer grounded in Alex's session and related expert presentations.
Related Sessions
Mindset Shifts for an AI-Powered Future
Why it's related: Ben defines the outcome and establishes the mindset; Alex turns that mindset into a concrete builder practice — assessing fluency and building your first AI prototype.
Turning Tribal Knowledge Into AI-Powered SOPs
Why it's related: Lauren Polasek captures the underlying process as documented SOPs; Alex takes the next step — turning that documented knowledge into a reusable AI tool that lives beyond the chat window.
Moving From Prompts to AI Employees
Why it's related: Robyn designs AI employee roles and workflows; Alex shows the upstream capability-building that makes those roles achievable — moving from user to operator.
About the Speaker
Alex Salinsky
Alex Salinsky is a software developer, entrepreneur, and AI adoption educator with a professional background spanning Silicon Valley software development, technology education, and small business consulting. He reports spending approximately ten years developing software in Silicon Valley before shifting toward startup support, small business technology, and AI education. He has also lived and worked across the United States, Mexico, and Colombia, and joined the AI Digital Growth Summit live from Colombia. Through Humans vs. Robots, Alex helps entrepreneurs, teams, and business leaders move beyond basic AI prompting and begin creating tools that directly support their work. His programs emphasize hands-on learning, personalized applications, real-world problem-solving, and the development of practical AI fluency. This biography is based on his statements in the supplied session write-up and has not been independently verified.
Speaker-Reported Business Examples
Figures reported by the speaker during the presentation; labeled internally as speaker-reported rather than independently verified.