6 Tools AI Leaders Actually Use to Earn More (Just Copy Them)
Silicon Valley Girl · 2026-04-27
💡 Quick Take
1. Treat AI as a thinking or thought partner by providing extensive context and engaging in numerous back-and-forth conversations.
2. Document your decisions and share them with AI to create a historical record that helps avoid repeating past mistakes.
3. Use multiple AI models and pit them against each other to get diverse perspectives and identify the best answer.
4. Leverage AI to augment your intelligence, not to replace your problem-solving skills.
5. Utilize AI agents to automate proactive workflows and delegate tasks, freeing up human time for strategic thinking.
6. Create "guideline files" or "skills" for AI to ensure brand consistency and adherence to specific writing styles and operational procedures.
7. Embrace "vibe coding" to quickly prototype and build products using natural language, even without deep technical expertise.
8. Focus on building a strong brand as a differentiator in an era where AI can rapidly replicate products.
9. Automate repetitive, non-creative tasks using AI to increase efficiency and income.
10. Communicate with AI through voice for more natural and context-rich prompting, leading to better results.
11. Invest time in giving AI context and building processes rather than just paying for more advanced tools.
12. Use AI for financial analysis, investment strategy execution, and tracking investment performance.
13. Record and transcribe meetings to create actionable follow-ups and leverage AI for operational analysis.
📊 Detailed Explanation
1. Treat AI as a thinking or thought partner by providing extensive context and engaging in numerous back-and-forth conversations. This is crucial because AI models, like ChatGPT, can act as incredibly knowledgeable and patient advisors. By feeding them detailed information about your user problems, team management challenges, pricing strategies, or any critical founder decisions, and then engaging in over 20 rounds of dialogue, you can uncover insights you wouldn't have reached alone. It's about moving beyond simple queries to a collaborative exploration of ideas, much like consulting with a senior mentor, but with immediate access and tireless iteration.
2. Document your decisions and share them with AI to create a historical record that helps avoid repeating past mistakes. This practice, exemplified by Mustafa Suleyman's daily check-ins with Copilot, leverages AI's powerful memory. By sharing your daily decisions, feelings, and even screenshots of discussions or documents, you build a personalized AI history. When faced with similar situations later, the AI can recall past outcomes and your reactions, offering advice based on your own lived experience, effectively acting as a personalized consultant that learns from your journey.
3. Use multiple AI models and pit them against each other to get diverse perspectives and identify the best answer. The transcript highlights that AI can sometimes present information with a false sense of certainty. By using tools like Gemini, Deepseek, and ChatGPT, you can compare their outputs. For example, one AI might offer a perspective that's too "American" or too "California" (meaning overly positive or agreeable), while another might point out missing elements or different motivations. This "pitting against each other" approach forces a deeper questioning of the AI's answers, ensuring you arrive at a more nuanced and truthful understanding, much like cross-referencing multiple experts.
4. Leverage AI to augment your intelligence, not to replace your problem-solving skills. This is a critical distinction. AI excels at processing vast amounts of information and performing rapid calculations – tasks that are not natural to the human brain. By offloading these computational heavy lifting tasks to AI, you free up your cognitive resources to focus on higher-level thinking, creativity, and strategic decision-making. The analogy of the scientific calculator is apt: it reduced problem-solving time, allowing some to finish exams faster while others used that extra time for deeper understanding. AI offers a similar opportunity to enhance your own intelligence exponentially.
5. Utilize AI agents to automate proactive workflows and delegate tasks, freeing up human time for strategic thinking. This represents a significant leap from simple AI assistants. AI agents can take action on your behalf, managing multiple hours of work and complex workflows. Examples include daily recaps of urgent emails, morning briefings with industry news, and even kicking off AI agents to create assets for meetings. The key is to automate processes that you would otherwise repeatedly ask an AI to do, such as checking competitor news daily. This delegation can lead to a 2x to 10x increase in productivity, depending on the task.
6. Create "guideline files" or "skills" for AI to ensure brand consistency and adherence to specific writing styles and operational procedures. Companies like Workera use "skills" – essentially files that define how things are done, like recruitment processes or brand guidelines. This ensures that when an engineer builds a website, the AI can automatically verify that the copywriting, color palette, and fonts align with the established brand. For individuals, this means creating documents that dictate your writing style, tone, vocabulary, and factual context. This prevents generic AI outputs and ensures that AI-generated content consistently reflects your unique voice and brand identity.
7. Embrace "vibe coding" to quickly prototype and build products using natural language, even without deep technical expertise. Vibe coding, or using natural language prompts to generate code, is a major trend that democratizes product development. Gary Vaynerchuk suggests it's a significant opportunity for "hyper micro wealth." Even individuals without traditional coding backgrounds can now build functional prototypes and even full products. The Duolingo example, where two team members with no prior chess or programming knowledge built a successful chess course prototype using AI in six months, perfectly illustrates this potential.
8. Focus on building a strong brand as a differentiator in an era where AI can rapidly replicate products. As AI collapses the build cycle, the ability to quickly launch products becomes less of a competitive advantage. What truly matters is how well you understand your audience, connect with their problems, and establish credibility. A strong brand, built on trust and unique identity, becomes the moat. While AI can create many products, it's the brand that fosters loyalty and discovery, especially in the current long tail of AI adoption where consumers are still adjusting.
9. Automate repetitive, non-creative tasks using AI to increase efficiency and income. The core principle is to identify tasks that are repetitive and don't require your unique creativity. These are prime candidates for AI automation. By automating these tasks, you not only boost your efficiency but also create more time and capacity to focus on income-generating activities that leverage your creativity and strategic thinking. This is presented as a non-negotiable for staying ahead in the evolving business landscape.
10. Communicate with AI through voice for more natural and context-rich prompting, leading to better results. Switching from typing to speaking with AI, using tools like Whisper Flow, can significantly improve prompting. When speaking, people naturally provide more context and detail than they might bother typing. This leads to more personalized and effective AI outputs. The ability to "complain" to AI, for instance, allows for a more nuanced dialogue where the AI can ask clarifying questions to gather essential information efficiently, moving from generic to personalized content faster.
11. Invest time in giving AI context and building processes rather than just paying for more advanced tools. The most successful AI users aren't necessarily those with the most expensive subscriptions. They are the ones who spend significant time feeding AI context, building custom workflows, and integrating it into their operations. This deep engagement, including adding files and refining processes, is what unlocks true AI-driven productivity and economic advantage, rather than simply relying on the latest, most powerful tool.
12. Use AI for financial analysis, investment strategy execution, and tracking investment performance. Tools like Perplexity Computer can connect to financial accounts (QuickBooks, Fidelity, Schwab) to provide high-level CFO-type reviews, including margin analysis, projected taxes, and tax strategies. AI can also execute investment strategies, like dollar-cost averaging, by tracking market dips and suggesting optimal buying times. This transforms how individuals manage their finances, offering discipline and sophisticated analysis previously only accessible to those who could afford expensive financial advisors.
13. Record and transcribe meetings to create actionable follow-ups and leverage AI for operational analysis. Tools like Granola can record and transcribe meetings, providing a clean list of follow-ups and agreements from previous discussions. This prevents starting from scratch and ensures accountability. Furthermore, this data can be fed into AI models like Claude, allowing for operational analysis against KPIs, effectively turning AI into a digital COO that supports strategic decision-making with data-driven insights.
🎯 Expert Opinion
This transcript offers a fantastic, grounded perspective on how AI is *actually* being used by successful founders and leaders, moving beyond the hype. The recurring theme is that AI isn't a magic bullet; it's a powerful amplifier that requires strategic integration and a willingness to adapt our own workflows. The emphasis on AI as a "thinking partner" and the detailed explanation of how to achieve this through extensive context and iterative dialogue is spot on. This is the core of unlocking LLM potential – moving from transactional queries to genuine collaboration.
The idea of "pitting AIs against each other" is particularly insightful. We're not just looking for *an* answer, but the *best* answer, and different models have different strengths and biases. This sophisticated approach to prompt engineering, where you actively seek out and reconcile diverse AI perspectives, is what will separate the truly AI-savvy from the rest. It mirrors how humans collaborate, bringing together different viewpoints to refine a decision.
The distinction between AI augmenting intelligence versus replacing it is paramount. This is where the real value lies. The fear of AI making us "dumb" is valid if we passively outsource our critical thinking. However, the transcript correctly frames AI as a tool to offload cognitive load, allowing us to focus on higher-order thinking. This is the key to exponential growth – not just doing tasks faster, but thinking *better* and *more strategically*.
The emergence of AI agents and proactive workflows is the next frontier, and the examples provided are compelling. This isn't just about asking an AI to do something; it's about setting up systems that work for you autonomously. The implications for productivity are massive, essentially creating a distributed workforce of AI assistants. As an expert, I see this leading to a significant restructuring of how teams operate, with humans focusing on oversight, strategy, and complex problem-solving, while agents handle the execution and data gathering.
The concept of "guideline files" or "skills" is incredibly important for enterprise adoption and personal branding. It addresses the "generic AI" problem head-on. For businesses, this is about maintaining brand integrity and operational efficiency at scale. For individuals, it's about ensuring your AI outputs reflect your unique voice and expertise, which is crucial for personal brand building in the AI era. This is a foundational element for effective AI deployment.
Vibe coding is a game-changer, democratizing creation. The Duolingo example is a perfect illustration of how non-technical individuals can now bring complex ideas to life rapidly. This will undoubtedly lead to an explosion of niche products and services. The advice to focus on brand is also critical. As product development becomes easier, brand and customer connection will become the primary differentiators. We're moving from a world where *building* was the barrier to entry to one where *connecting* and *resonating* with an audience is key.
The idea of automating repetitive tasks is not just about efficiency; it's about economic survival and growth. In 2026, this will be table stakes. The transcript correctly identifies that the early adopters are the ones who will gain a significant advantage. The opportunity to teach others how to leverage AI is a massive, underserved market right now. This is a prime area for new businesses and career paths.
The shift to voice interaction is a subtle but powerful point. Natural language processing has advanced to a point where voice is becoming as effective, if not more so, for complex prompting due to the inherent context provided. This makes AI more accessible and intuitive, further lowering the barrier to entry.
Finally, the emphasis on investing time in context and process over just tools is a profound insight. This is the differentiator. Building custom workflows, training AI on your specific data, and integrating it deeply into your operations yields far greater returns than simply subscribing to the latest AI model. The examples of Perplexity for finance and Granola for meeting analysis demonstrate how specialized AI applications, when fed the right context, can deliver immense value, effectively acting as high-level strategic partners.
Overall, this is a forward-thinking, actionable summary of AI's current impact. The advice is practical, grounded in real-world use cases, and points towards the future of how we'll work and create. The opportunity for individuals and businesses to leverage these tools is immense, but it requires a proactive, strategic, and continuous learning approach.
Kanal: Silicon Valley Girl