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Brooks Duncan

9episodes
1podcast

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9 episodes

AI Summary

→ WHAT IT COVERS Tan and Brooks break down practical AI tool usage across five platforms — ChatGPT, Claude, Perplexity, Gemini, and Notebook LM — covering real workflows for research, content creation, lead enrichment, and SEO audits, plus a three-level framework for progressively integrating AI into daily work. → KEY INSIGHTS - **Multi-tool specialization:** No single AI tool handles everything well. Use ChatGPT as a daily driver, Claude for coding and Excel analysis, Gemini for image and video generation, and Perplexity for real-time research and social media sentiment analysis. Matching each tool to its strength produces significantly better results than defaulting to one platform for all tasks. - **Context files as AI assets:** Create plain text files containing your writing style, voice, values, and business details. Load these into any LLM session to eliminate repetitive re-explaining. Maintain separate context files per medium — LinkedIn posts, professional email, personal email — so the AI writes in the correct register without additional prompting each time. - **Closing the feedback loop:** When editing AI-generated content, make all revisions inside the chat interface rather than in Word or Gmail. After four to five rounds of in-chat corrections, the model learns your preferences. Alternatively, paste your final edited version back into the chat and instruct it to analyze and internalize your style for future outputs. - **Three-level AI progression:** Level one is AI-assisted prompting — the model advises but you execute. Level two is AI workflows — tools connect to Gmail or calendars and perform actions directly. Level three is AI agents — a digital employee monitors your inbox, cross-references your calendar, and pre-drafts replies for human approval before sending, reclaiming significant daily time. - **Perplexity Computer for autonomous research:** Perplexity's agent feature runs multi-step tasks autonomously across the web. One prompt enriched hundreds of business leads — pulling company size, location, and contact data — without manual intervention. The tool also supports source filtering, allowing queries restricted to social media or Reddit only, making targeted sentiment analysis faster than any standard LLM search. → NOTABLE MOMENT Tan described running an overnight technical SEO audit by connecting Claude's Chrome extension to Google Search Console and Analytics simultaneously. Claude autonomously browsed the site, clicked through reports, captured screenshots to interpret page layouts, and delivered a complete audit by morning — a task typically outsourced to agencies. 💼 SPONSORS [{"name": "Shopify", "url": "https://shopify.com/tps"}, {"name": "Notion", "url": "https://notion.com/tps"}, {"name": "MasterClass", "url": "https://masterclass.com/tps"}] 🏷️ AI Productivity Tools, Prompt Engineering, AI Agents, Workflow Automation, Content Creation

AI Summary

→ WHAT IT COVERS Tan and Brooks from Agent Efficiency walk through how to diagnose and execute a productivity system reset using their Time, Energy, and Attention (TEA) framework, covering when resets are warranted, common pitfalls like tool-hopping and blind modeling, and why deliberate recovery counts as a legitimate reset strategy. → KEY INSIGHTS - **TEA Framework Diagnosis:** Before touching any app or tool, identify which of the three pillars — Time, Energy, or Attention — is underperforming. Symptoms are specific: constant overwhelm signals Time issues, afternoon energy crashes or 11+ hours of sleep debt signals Energy issues, and frequent context-switching or more than five active goals signals Attention problems. - **Reset Timing:** Reserve full system resets for when things are actively broken, not as a proactive exercise. Resetting a functioning system forces you to climb back to your previous baseline before seeing any gains — analogous to averaging down on a losing stock. Continuous small improvements via Kaizen are the better default when performance is stable. - **Recovery as Productivity Reset:** Scheduling a full day of deliberate inactivity — no tasks, no optimization — functions as a legitimate system reset. Tan tracks roughly 67 naps per year via Oura Ring data and credits unstructured downtime with restoring creative output and focus faster than any workflow adjustment. - **One-at-a-Time Tool Adoption:** Adding multiple tools, skills, or workflows simultaneously causes conflicts and abandonment. Tan's vibe-coding experience illustrates the fix: read documentation for each new tool, identify one concrete use case, adopt it, and only then consider the next addition. This prevents toolkit bloat and ensures each tool is actually used. - **Modeling Without Copying:** When borrowing another person's system, extract the underlying principle rather than replicating the exact tool or platform. Self-awareness determines which elements transfer — for example, recognizing a preference for keyboard-driven text tools lets you filter any new system immediately, avoiding repeated failed resets caused by incompatible workflows. → NOTABLE MOMENT Tan revealed he abandoned OmniFocus after roughly a decade of loyalty and now manages tasks entirely inside Airtable — driven by a shift toward AI agents executing work rather than humans tracking it, suggesting task management apps may become obsolete as AI handles execution directly. 💼 SPONSORS [{"name": "Mint Mobile", "url": "https://mintmobile.com/productivity"}, {"name": "Notion", "url": "https://notion.com/tps"}, {"name": "MasterClass", "url": "https://masterclass.com/tps"}, {"name": "Rag & Bone", "url": "https://rag-bone.com"}] 🏷️ Productivity Systems, TEA Framework, AI Tools, Energy Management, Habit Reset

AI Summary

→ WHAT IT COVERS Tan explores OpenClaw (formerly ClawBot), a breakthrough AI assistant that runs on personal computers and operates autonomously 24/7. He demonstrates how AI evolved from assisted workflows in 2023 to proactive agents in 2026, sharing specific use cases including automated research, vibe coding, and custom podcast creation without writing code. → KEY INSIGHTS - **AI Evolution Timeline:** 2023 brought AI-assisted workflows with ChatGPT for productivity gains. 2024 introduced AI workflows with LLM calls in automation tools like Zapier. 2025 delivered specialized AI agents making autonomous decisions within guardrails. 2026 enables proactive AI that develops new skills independently, researches solutions online, and executes tasks without predetermined instructions or technical setup. - **OpenClaw Architecture:** Created by Peter Steinberger, OpenClaw functions as a mini operating system within macOS, Windows, or Linux. It accesses local files and online resources simultaneously, operates continuously on dedicated hardware like Mac Minis, and communicates through Slack or Telegram. Users create a 33-page context profile containing personal preferences, business details, and decision-making patterns for instant AI personalization. - **Vibe Coding Method:** Users describe desired outcomes in plain English, and AI translates requirements into functional code without programming knowledge. Tan built a Kanban board connected to Airtable in ten minutes through conversation alone. Tools like Lovable.dev and Replit.com enable beginners to create custom applications. Deployment happens automatically to platforms like Vercel or GitHub Pages without manual configuration. - **Security Implementation:** Default OpenClaw installations on virtual private servers create open network access vulnerabilities and prompt injection risks. Essential protections include firewall rules requiring manual approval for outbound connections, whitelisted service access only, and virtual machine isolation preventing root system access. Technical configuration requires editing JSON and markdown files similar to MS-DOS era computing, creating barriers for non-technical users. - **Personal Podcast Automation:** Tan built a daily podcast that scrapes articles from Instapaper without API access by having AI control browser tabs, read source code, and identify clickable coordinates. OpenAI TTS converts articles to audio for 5 cents per episode. GitHub Pages hosts the RSS feed with automatic daily updates at noon. When no new articles exist, the system searches trending topics based on user interests and generates fallback episodes. → NOTABLE MOMENT Tan describes delegating monitor research to his AI assistant Router, which searched his email inbox to identify his current VESA arm model, determined it lacked sufficient strength for the new 49-inch curved display, and recommended three compatible replacements within one minute—a task requiring multiple context switches and extensive manual research when done traditionally. 💼 SPONSORS [{"name": "Shopify", "url": "https://shopify.com/tps"}, {"name": "DripDrop", "url": "https://dripdrop.com"}, {"name": "Gusto", "url": "https://gusto.com/tps"}] 🏷️ OpenClaw, AI Agents, Vibe Coding, AI Security, Workflow Automation

AI Summary

→ WHAT IT COVERS Tan and Brooks explore strategic planning frameworks for 2025, focusing on how AI tools like Claude and ChatGPT compress multi-day planning sessions into hours. They discuss the four key business decisions from Scaling Up, explain why traditional incremental goal-setting fails, and demonstrate practical prompting techniques for generating KPIs and leading indicators. → KEY INSIGHTS - **Strategic Variables Simplification:** Effective strategy reduces to three to five core variables maximum. For events, this means venue quality, people curation, and budget allocation. For business, focus on opportunity assessment, market trends, and financial implications. AI can identify these variables in twenty to thirty minutes versus the days required through traditional team brainstorming sessions, providing menu options based on historical strategic planning data. - **Four Decisions Framework:** Scaling Up by Verne Harnish identifies four critical business decisions: people, strategy, execution, and cash flow. Under people, define team characteristics and shared values. For strategy, articulate core competency in one page. Execution requires clear priorities and relevant data. Cash represents business oxygen. Master these four areas to build sustainable business operations regardless of industry or company size. - **Frontline Data Advantage:** Customer-facing employees possess insights AI cannot access from offline interactions at restaurants, meetings, and service touchpoints. Record customer calls, generate transcripts, and use AI to analyze patterns and missed details. This combination of human-gathered intelligence with AI analysis creates competitive advantage. CEOs like Whole Foods' Jason demonstrate this by personally delivering groceries to understand operational inefficiencies firsthand. - **Leading Indicators with AI:** Before AI, determining progress metrics for non-numerical projects like website redesigns required extensive consultation and story point systems using Fibonacci sequences. Now, prompt AI with project details and request leading indicator suggestions. The system generates multiple measurement options immediately, eliminating days of deliberation. This applies to any project lacking obvious numerical tracking methods. - **Brutal Feedback Prompt:** Submit existing plans to ChatGPT or Claude with this specific prompt: be brutally honest and one hundred times more specific than normal when providing feedback. This technique reveals overlooked assumptions, missing variables, and unrealistic timelines. The AI challenges plans with questions and considerations that internal teams miss due to proximity bias. Apply this to current strategies or retrospectively to past plans. → NOTABLE MOMENT The Whole Foods CEO serves as VP of Amazon's worldwide groceries and personally delivered packages alongside drivers when Amazon launched grocery delivery. By working boots-on-the-ground from day one, he identified inefficiencies in food handling, packaging waste, team misalignment, and supply chain gaps that executive reports and frontline interviews would never reveal completely. 💼 SPONSORS [{"name": "Gusto", "url": "https://gusto.com/tps"}, {"name": "Claude", "url": "https://claud.ai/tps"}, {"name": "MasterClass", "url": "https://masterclass.com/tps"}] 🏷️ Strategic Planning, AI Productivity, Business Frameworks, KPI Development, Organizational Alignment

AI Summary

→ WHAT IT COVERS Tian and Brooks explore the copy-and-paste strategy from Katie Milkman's book How to Change, demonstrating how to accelerate personal and professional growth by finding people who have already solved your problems and adapting their proven methods rather than reinventing solutions from scratch. → KEY INSIGHTS - **Who Not How Framework:** Instead of asking what to do or how to do it, ask who has already figured it out. This shifts focus from being the bottleneck to leveraging others' expertise. Platforms like Clarity.fm allow booking experts by the minute, where one sixty-dollar hour-long call can replace weeks of trial-and-error experimentation and research. - **Proximity Matters for Modeling:** Learn from people two to three steps ahead, not decades ahead. A business owner making ten thousand dollars monthly gains more actionable advice from someone at fifty thousand monthly than from billionaires whose infrastructure, resources, and context are too different to translate effectively into immediate next steps. - **Survivorship Bias Awareness:** Recognize that successful outcomes don't guarantee replicable strategies. Just because someone moved to Hollywood and became an A-list actor doesn't mean the same path works universally. Evaluate whether the person's success factors are transferable to your specific situation, resources, and constraints before copying their approach wholesale. - **Context Translation Required:** Copy-paste works best with similar lifestyle and values alignment. Productivity advice from someone young without kids requires significant translation for parents of three. Look for warm referrals and consistent track records rather than trend-chasers who switch strategies annually, jumping from crypto to AI to penny stocks without mastery. - **Possibility Before Process:** Seeing someone successfully doing what you want unlocks belief that it's achievable. Katie Milkman couldn't visualize vegetarianism working until she observed colleagues eating satisfying, protein-rich meals at restaurants. Witnessing real examples removes mental barriers about feasibility before you even learn the how-to steps. → NOTABLE MOMENT Tian reveals he created a personalized daily podcast using Claude bot that automatically pulls articles from his Instapaper backlog, summarizes them through the lens of his specific goals and interests, and delivers action items tailored to him using ElevenLabs voice synthesis, all set up in five minutes using free tools. 💼 SPONSORS [{"name": "Shopify", "url": "https://shopify.com/tps"}, {"name": "SelectQuote", "url": "https://selectquote.com/tps"}] 🏷️ Copy-Paste Strategy, Behavioral Change, Business Mentorship, AI Automation, Productivity Systems

AI Summary

→ WHAT IT COVERS Tan and Brooks explore how to build productivity habits through evolution rather than revolution, focusing on habit stacking and removing friction from existing routines. They demonstrate practical methods for incrementally improving daily systems, from audiobook listening workflows to weekly reviews, emphasizing that small weekly tweaks compound into significant productivity gains over time. → KEY INSIGHTS - **Habit Stacking Method:** Attach new habits to existing behaviors rather than creating fresh routines from scratch. For audiobooks, pair listening exclusively with walking sessions instead of attempting to listen while stationary. This leverages established patterns and increases success rates because the trigger behavior already has momentum and consistency built into daily life. - **Friction Removal Strategy:** Permanently place a yoga mat on the floor instead of rolling it out each time to eliminate barriers to stretching. Keep frequently used apps in the menu bar with keyboard shortcuts for instant access. Small environmental changes that reduce steps between intention and action dramatically increase habit adherence and execution frequency throughout the week. - **Weekly Review Practice:** Dedicate time each week to identify what can be removed from life before adding or tweaking anything. Ask two questions: what recurring annoyances exist, and what can be improved next week. This subtraction-first approach prevents productivity system bloat and ensures energy focuses on genuinely valuable activities rather than accumulating unnecessary commitments. - **Incremental Automation:** Start habits imperfectly and iterate over time. Begin playing audiobooks directly from phone speakers, then connect to Sonos speakers, then create shortcuts, then explore NFC triggers. Each improvement builds on the previous version rather than waiting for the perfect system, allowing immediate benefits while gradually optimizing the workflow through practical experience. - **Evolution Over Revolution:** Make one tweak per week to existing routines instead of attempting complete overhauls. This approach maintains momentum from current systems while steadily improving effectiveness. Competitors and colleagues making small continuous improvements will eventually surpass those doing the same tasks repeatedly without refinement, making consistent incremental changes essential for long-term productivity growth. → NOTABLE MOMENT Tan shares how his assumption that everyone uses AI tools daily was shattered when presenting in a new city, realizing his Austin tech bubble created a distorted view of normal technology adoption. The moment highlights how productivity enthusiasts often overestimate how widely their optimization strategies have spread beyond specialized communities. 💼 SPONSORS [{"name": "Drip Drop", "url": "https://dripdrop.com"}, {"name": "Mint Mobile", "url": "https://mintmobile.com/productivity"}, {"name": "Gusto", "url": "https://gusto.com/tps"}] 🏷️ Habit Stacking, Friction Reduction, Weekly Review, Incremental Improvement, Productivity Systems

AI Summary

→ WHAT IT COVERS Tan and Brooks share their essential productivity apps and physical tools, covering selection criteria, AI integration strategies, and specific recommendations. They discuss text expansion tools, note-taking apps like Obsidian and Notion, AI agents through Lindy, voice-first productivity with Whisperflow, and hardware including Stream Deck and MX Master mouse for workflow optimization. → KEY INSIGHTS - **AI Agent Integration:** Lindy automates meeting follow-ups by scanning transcripts, extracting action items, adding them to Todoist with due dates, and drafting proposal emails with client details pre-filled. This workflow saves forty to forty-five hours weekly by eliminating manual transcript review and administrative tasks that previously required multiple steps. - **Voice-First Text Entry:** Whisperflow replaces keyboard typing with AI-powered dictation that interprets semantic meaning, removes filler words, and executes voice commands like "my Austin address" to auto-fill forms. Unlike standard dictation, it corrects contradictions in real-time when you change your mind mid-sentence, minimizing editing requirements. - **Tool Selection Framework:** Evaluate apps by testing within thirty minutes—if you don't enjoy using it immediately, abandon it. Prioritize cross-platform availability, offline functionality, and API integration capabilities over feature lists. Research what top users recommend, then shortlist three to five popular options before testing to avoid analysis paralysis. - **Text Expansion Systems:** Use text expansion apps like TextExpander, Alfred, or built-in OS tools to convert short codes into full addresses, email templates, or complex forms. Even basic implementations save hours weekly on repetitive typing. Advanced users combine this with AI tools to create voice-activated text expansion for hands-free form filling. - **Stream Deck Automation:** Program Stream Deck buttons to execute window management setups that open specific apps and arrange screens for different tasks like morning routines, journaling, or Zoom meetings. Context-sensitive buttons change based on active applications, providing one-touch access to mute controls, lighting adjustments, and app-specific shortcuts like OmniFocus perspectives. → NOTABLE MOMENT Tan describes building a custom event management app in three days using Claude Code that reads text messages, drafts responses, and mass-sends invitations to curated contact lists. This type of personalized automation tool would typically cost thousands of dollars and require professional developers, but AI coding assistants now enable non-programmers to create custom solutions. 💼 SPONSORS [{"name": "MasterClass", "url": "masterclass.com/tps"}, {"name": "Gusto", "url": "gusto.com/tps"}] 🏷️ AI Automation, Productivity Apps, Text Expansion, Voice Dictation, Stream Deck

AI Summary

→ WHAT IT COVERS Tan and Brooks explore automation strategies from simple bill payments and email filters to AI browsers and home setups that save time daily. → KEY INSIGHTS - **Bill Automation:** Set up automatic payments for all recurring bills to eliminate monthly login sessions, late fees, and mental overhead while requiring only 15-minute weekly reviews. - **Browser Profiles:** Use Chrome profiles with keyboard shortcuts to separate work and personal contexts, plus tools like Veja to automatically route specific links to designated browsers. - **Custom Web Searches:** Configure Alfred or similar tools to create shortcuts like typing "j" plus terms to search Jira tickets or "maps" plus addresses for instant Google Maps queries. - **Weekly Review Structure:** Use consistent prompts and predetermined checklists at the same time weekly to automate the review process, starting simple with just two questions about learning and improvement. → NOTABLE MOMENT Tan reveals his friend Tim Francis has consumed the identical smoothie recipe for over 3,000 consecutive days as his ultimate morning routine automation strategy. 💼 SPONSORS [{"name": "Shopify", "url": "shopify.com/tps"}, {"name": "Notion", "url": "notion.com/tps"}, {"name": "Gusto", "url": "gusto.com/tps"}] 🏷️ Automation, Productivity Systems, Browser Optimization, Weekly Reviews

AI Summary

→ WHAT IT COVERS Tan and Brooks share six underrated productivity books that significantly impacted their lives but rarely get mainstream attention or discussion. → KEY INSIGHTS - **Self-Discovery Framework:** Use "3,001 Questions All About Me" during travel or weekly thinking sessions to build self-awareness through random journaling prompts and deep reflection exercises. - **Project Completion Strategy:** Charlie Gilkey's "Start Finishing" provides structured frameworks for breaking down projects, managing focus blocks, and addressing psychological resistance to completing important work. - **Risk Assessment Method:** Keith Cunningham advocates conducting pre-mortems before starting initiatives by asking "What's the upside, downside, and can I live with the downside?" - **Visual Communication Skills:** Nancy Duarte's "Slideology" teaches story structure, persuasion techniques, and design principles that remain valuable even when using AI tools for presentations. → NOTABLE MOMENT Tan reveals Keith Cunningham may be the mysterious "Rich Dad" from the famous Robert Kiyosaki book series, though Cunningham never publicly confirms this connection. 💼 SPONSORS [{"name": "MasterClass", "url": "masterclass.com/tps"}, {"name": "Gusto", "url": "gusto.com/tps"}, {"name": "Drip Drop", "url": "dripdrop.com"}] 🏷️ Book Recommendations, Self-Awareness, Project Management, Visual Communication

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