Building Your Personal AI Brain Trust

April 10, 2025

How to build a personalized "AI Brain Trust" using Claude Projects by curating domain-specific knowledge.

Have you ever been stuck on a difficult problem at 2 AM, wishing you had instant access to world-class expertise? Or found yourself procrastinating on a critical task, needing that perfect blend of motivation and strategic guidance?

I've discovered a way to create specialized AI coaches that have transformed how I work, learn, and overcome challenges. Using Claude Projects, I've built what I call my "AI Brain Trust" – a collection of specialized assistants that provide expert-level guidance exactly when I need it.

The Power of Personalized AI Coaches: Beyond Generic Assistance

Most people use AI assistants for general tasks – answering questions, drafting emails, or summarizing content. But there's a far more powerful approach hiding in plain sight.

By deliberately building specialized Claude Projects loaded with domain-specific knowledge, I've created:

  • A high-agency coach that helps me push through resistance and take decisive action

  • A product management advisor that guides me through complex decisions using proven frameworks

  • An email newsletter specialist that transforms verbose blog posts into engaging emails in minutes

  • A strategic thinking partner that challenges my assumptions using mental models from the world's top thinkers

The difference between these specialized coaches and general AI assistance is profound. When I ask my high-agency coach for help with procrastination, I don't get generic productivity tips. Instead, I receive guidance informed by the specific mental frameworks used by successful founders and backed by behavioral psychology research.

The Step-by-Step Process for Building Your AI Brain Trust

Here's my refined process for creating these specialized AI coaches:

Step 1: Define Your Specific Growth Area

Begin by identifying a precise domain where expert guidance would significantly impact your work or life. The more specific, the better.

Instead of: "I want to be better at marketing" 

Try: "I need help creating compelling email campaigns for SaaS product launches"

This specificity will guide your research and make your AI coach vastly more effective. Ask yourself: "What specific challenge, if solved, would create the most value in my work or life right now?"

Step 2: Curate High-Quality Knowledge Sources

This step is crucial – your AI coach will only be as good as the knowledge you feed it. Using Perplexity (or any research tool you prefer), systematically gather:

  • Frameworks and methodologies: Proven approaches experts use to solve problems in your focus area

  • Case studies: Real-world examples showing successful applications

  • Research findings: Data-backed insights that reveal what actually works

  • Expert perspectives: Different viewpoints from recognized leaders

Focus on actionable content that reveals how experts think and approach problems. I typically spend 1-2 hours on this research phase, collecting 5-10 high-quality sources that represent diverse perspectives on the topic.

For example, when building my email newsletter assistant, I gathered resources on:

  • Subject line optimization from conversion experts

  • Email copywriting principles from top marketers

  • Newsletter structure best practices from successful publishers

  • Psychological triggers that drive email engagement

  • A/B testing insights from large-scale email campaigns

Step 3: Organize and Upload Your Knowledge Base

Once you've gathered materials, organize them logically before uploading to your Claude Project:

  1. Group related content: Combine similar resources to create comprehensive knowledge clusters

  2. Highlight key concepts: Identify the most important frameworks or principles for easy reference

  3. Remove redundancies: Eliminate overlapping content while preserving diverse perspectives

  4. Format for clarity: Ensure headings, bullet points, and structure make information accessible

When uploading to Claude Projects, consider creating a simple table of contents that maps what's included in your knowledge base. This makes it easier to reference specific resources during conversations.

Step 4: Craft Precise Project Instructions

Your project instructions act as the "operating system" for your AI coach. They define its purpose, approach, and how it should leverage its knowledge base.

Effective instructions include:

  • Purpose statement: Clearly define what the project is designed to help with

  • Interaction guidelines: How the AI should engage with you (questioning style, format of responses)

  • Knowledge application: How it should use its specialized knowledge

  • Limitations awareness: Areas where it should recognize boundaries of its expertise

Here's an example of instructions for my email newsletter assistant:

You are my specialized email newsletter assistant. Your purpose is to help me transform blog posts into compelling email newsletters that drive reader engagement.

When I share a blog post with you:
1. Analyze the content to identify the most surprising, valuable, or compelling elements
2. Craft 3-5 potential subject lines (under 10 words each) that highlight these elements
3. Create an email structure that teases the most interesting insights while encouraging readers to click through to the full post
4. Ensure all copy follows proven email engagement principles from our knowledge base
5. Include a clear, compelling call-to-action

Draw on your knowledge of subject line optimization, email psychology, and newsletter best practices. When making recommendations, explain your reasoning based on specific principles or research

Real-World Examples: How I Use My AI Brain Trust Daily

Let me share specific scenarios showing how these specialized coaches have transformed my work:

My High-Agency Founder Coach in Action

Scenario: I needed to make a difficult decision about whether to pivot our product strategy based on concerning user feedback.

Before specialized coaching: I might have spent days overthinking, researching general product strategy articles, and second-guessing myself.

With my AI coach: I explained the situation in detail, including the feedback data and my concerns. My high-agency coach:

  1. First helped me reframe the problem by asking "Does this defy the laws of physics?" to shift my thinking from "impossible problem" to "solvable challenge"

  2. Prompted me to consider "What would you do if you had 10x the agency?" which immediately generated creative solutions I hadn't considered

  3. Broke down the overwhelming decision into smaller, actionable next steps I could take immediately to gather data

  4. Identified specific low-agency traps I was falling into (mainly the rumination trap and attachment to past assumptions)

  5. Helped me craft a time-bound experiment that could be implemented within 48 hours to test my biggest assumptions with minimal risk

  6. Created accountability by establishing clear success metrics and a follow-up schedule

This guidance transformed what might have been weeks of analysis paralysis into decisive action within a day. The most valuable aspect wasn't just the decision framework, but how it pushed me to take immediate ownership of the situation and approach it with a "there's no unsolvable problem" mindset.

What makes this coach different from generic AI assistance is that it doesn't just answer questions—it actively challenges my thinking patterns, identifies when I'm operating with low agency, and consistently pushes me to approach challenges as if I were at my absolute best.

My Email Newsletter Assistant at Work

Scenario: I had written a detailed 2,500-word blog post about productivity systems and needed to create an engaging newsletter to drive traffic to it.

The process:

  1. I shared the full blog post with my email assistant

  2. It immediately identified the most compelling insights: my unusual approach to calendar blocking and the surprising research on context switching

  3. It crafted five potential subject lines focused on these elements, explaining the psychological principles behind each

  4. It proposed an email structure that teased these insights while clearly prompting readers to visit the full post

  5. It suggested personalization elements based on my audience segments

The entire process took less than 10 minutes and resulted in an email with an open rate 23% higher than my usual average.

Advanced Strategies for Maximizing Your AI Brain Trust

After creating dozens of specialized coaches, I've discovered several advanced strategies to enhance their effectiveness:

1. Cross-Pollinate Knowledge Between Projects

Don't isolate your AI coaches. When I discover a valuable framework in one domain, I often add it to multiple projects. For example, the "second-order thinking" concept from my strategic advisor has proven valuable in my product management coach as well.

2. Create Deliberate Learning Loops

After each significant interaction with your AI coach, capture what worked well and what didn't. Use this feedback to refine your project knowledge and instructions. This creates a virtuous cycle where your coaches become increasingly aligned with your specific needs.

3. Develop Specialized Prompting Templates

For recurring challenges, create templated prompts that provide the perfect context for your AI coach. For example, I have a "product decision framework" template that guides me through the exact information my product management coach needs to provide optimal guidance.

4. Combine Human and AI Expertise

Your AI Brain Trust becomes even more powerful when complemented with human expertise. I often use my AI coaches to prepare for conversations with mentors or consultants, helping me ask better questions and maximize the value of those interactions.

Common Pitfalls and How to Avoid Them

Creating effective AI coaches requires avoiding several common traps:

Pitfall #1: Information Overload

Problem: Uploading too much unstructured content creates a "haystack" where valuable insights get buried.

Solution: Focus on quality over quantity. I've found that 5-7 exceptional resources typically outperform 20+ mediocre ones. Curate ruthlessly and prioritize content that reveals how experts think rather than just what they know.

Pitfall #2: Overly Rigid Instructions

Problem: Extremely prescriptive instructions can limit your AI coach's ability to apply knowledge creatively to your unique situations.

Solution: Balance structure with flexibility. Define clear purposes and approaches while allowing room for adaptive thinking. I periodically review and refine my instructions based on actual usage patterns.

Pitfall #3: Neglecting to Update Your Knowledge Base

Problem: Fields evolve, and static knowledge bases gradually lose relevance.

Solution: Schedule regular review sessions (I do this quarterly) to refresh your knowledge base with current research, case studies, and evolving best practices. Treat your AI Brain Trust as a living system that grows with you.

Getting Started: Your First AI Coach in 60 Minutes

You can create your first specialized AI coach in just one hour:

  1. Choose your focus area (15 minutes): Select something specific you're actively working on where expert guidance would create immediate value

  2. Gather core resources (30 minutes): Find 3-5 high-quality resources that represent best practices in that domain

  3. Set up your project (15 minutes): Create your Claude Project, upload your knowledge, and write clear instructions

Start small and experience the immediate benefits before expanding your AI Brain Trust. The beauty of this approach is that it compounds over time – each new coach you create adds another dimension of expertise to your personal guidance system.

What's Next: The Future of Personal AI Coaching

I believe we're just scratching the surface of what's possible with personalized AI coaching. As these systems evolve, they'll increasingly integrate with our workflows, anticipate our needs, and provide just-in-time guidance that accelerates our learning and effectiveness.

The most exciting aspect is how this approach democratizes access to expertise. Skills and knowledge that once required years of experience or expensive consultants are becoming accessible through thoughtfully designed AI coaches.

Dillon Carter © 2024

Founder

Dillon Carter © 2024

Founder