Jul 15, 2026 · 1h 5m · bigdeal
How to Use AI to Make Money, Grow Your Business, and Be More Productive | Geoff Woods
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Author and executive advisor Geoff Woods joins Codie Sanchez to break down his signature CRIT framework, demonstrating how leaders can move beyond basic prompt engineering to use artificial intelligence as a strategic thought partner. Through real-world case studies and the 80/20 principle, the discussion outlines practical methods for simulating high-stakes business scenarios, automating complex workflows, and elevating human leadership.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Codie holds 23.8% of the talking time here. How this is scored →
speaking balance: gold is Codie, purple is the guest (3 minute bins)
Geoff forcefully challenges the prevailing online narrative that people need dozens of autonomous agents, calling it a distraction and declaring claims of effortless agent wealth to be complete nonsense.
Hardest push from Codie ▶ 55:27 Codie pushes back on single-tool simplicityWhen Geoff names Claude as the single broad-based answer for 2026, Codie directly refuses the framing and argues that ChatGPT provides distinctly better short-prompt image output without forced stylistic templates.
Biggest teaching moment ▶ 3:07 Geoff explains simulating hostile board dynamicsGeoff walks through the exact mechanics of feeding executive interview answers into customized personality profiles, showing how strategic prompt architecture can anticipate hostile meeting dynamics in seconds.
Codie holds their own ▶ 1:02:46 Codie outlines their custom Avoma sales coaching pipelineCodie demonstrates superior hands-on enterprise technical execution by explaining how her team feeds Avoma transcription data into real-time voice-triggered coaching bots to turn struggling reps into top closers.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Codie as informed peer | Guest teaching | Guest disagreement | Codie pushing back | Why |
|---|---|---|---|---|---|---|
| Case Study: Simulating a Hostile Board with AI | 2 | 6 | 1 | 1 | Codie asks Geoff for a concrete, jaw-dropping case study of high-level AI usage. Geoff details how his team simulated a hostile board of directors using HR profiling and quarterly board deck transcripts to coach a CEO. | |
| The CRIT Framework for Strategic AI Prompting | 3 | 7 | 2 | 1 | When Codie asks for a rapid-fire list of use cases, Geoff redirects focus to the single framework delivering 80% of value: CRIT (Context, Role, Interview, Task). Geoff breaks down why making the AI interview the user unlocks deeper strategic context. | |
| Eliminating AI Slop and the 80/20 Principle | 6 | 5 | 1 | 2 | Codie introduces the concept of AI slop and shares an anecdote about a job candidate disqualified for submitting a generic ChatGPT brief. Geoff connects this to the 80/20 rule, explaining that treating AI like a search engine wastes its strategic potential. | |
| Case Study: Saving a Company 300 Million Dollars | 1 | 7 | 1 | 0 | Codie listens as Geoff recounts saving a US manufacturing company $300 million by using ChatGPT to roleplay a debt-restructuring investment banker versed in Japanese cultural dynamics. | |
| The Three Fundamental Skills of an AI Leader | 4 | 6 | 1 | 1 | Codie summarizes the mechanics of the prompt framework, which Geoff reframes into the three foundational skills of an AI-driven leader: identifying 20% priorities, communicating via CRIT, and remaining the skeptical thought leader. | |
| Advanced AI Tactics: Speech-to-Text and Adversarial Roles | 5 | 6 | 1 | 1 | Geoff advocates speech-to-text to capture unstructured context and explains how to pit AI personas against each other as adversarial red teams. Codie contributes her observation that default models are excessively agreeable. | |
| The Sticky Note Trigger and Building an AI CFO | 5 | 6 | 1 | 1 | Geoff shares his practical trigger habit of placing sticky notes on his desk to prompt AI usage, leading to the creation of an automated AI CFO. Codie shares her own technical hurdles and realizations when setting up terminal agents. | |
| Documenting Processes with Markdown for AI Agents | 4 | 7 | 4 | 2 | Geoff dismisses the internet hype surrounding complex multi-agent systems as a distraction, arguing agents are the 18th domino rather than the first. He explains how to document business processes using CRIT and markdown files before deploying agents. | |
| The 80/20 Prioritization Method and Future Skills | 3 | 7 | 2 | 1 | Codie asks for a tactical prioritization framework. Geoff outlines an analog weekly task audit to isolate the top 20% leverage tasks and explains why strategic thinking and collaboration will outlast machine-based output generation. | |
| Job Automation, Entry-Level Gaps, and Network Organizations | 6 | 6 | 2 | 1 | Geoff identifies paralegals and entry-level review roles as prime targets for automation, warning of an apprenticeship gap. Codie builds on this by contrasting daycare employees who require supervision with self-directed department chair employees. | |
| Ownership Culture, Extreme Leverage, and Leadership | 6 | 7 | 3 | 4 | Geoff shares a lesson from Gary Keller on full operational ownership. Codie challenges him to explain how this style differs from perceived toxic culture, prompting Geoff to clarify how high standards empower rather than abandon employees. | |
| AI as a Creative Amplifier: Player to Conductor | 3 | 7 | 2 | 1 | Codie raises common objections regarding AI stifling human creativity. Geoff counters with a boardroom case study where a simulated Steve Jobs manifesto aligned an executive suite, reframing the creative role from single instrumentalist to conductor. | |
| Crafting Authentic Writing Personas and Eliminating Fluff | 7 | 6 | 1 | 2 | Geoff outlines his method for training AI on authentic writing styles using 20 to 50 sample emails. Codie demonstrates strong expertise by naming recurring linguistic tells of raw AI writing, such as em dashes and overused transition tropes. | |
| Assembling a Virtual Board of Advisors and Future Self | 3 | 7 | 1 | 1 | Geoff details how he assembled a personalized virtual advisory board including Steve Jobs, Warren Buffett, Jeff Bezos, and a 30-year future self, complete with explicit behavioural boundaries for each persona. | |
| Mid-Show Promotion: Contrarian Thinking Boardroom | 5 | 6 | 1 | 2 | Following a mid-roll boardroom promo, Geoff warns against cognitive decay from relying blindly on AI outputs and explains his dedicated analog thinking chair routine. Codie shares her own preference for working on physical sticky notes before consulting Claude. | |
| Tool Selection Debate and Avoiding Tool Overload | 7 | 4 | 4 | 6 | Codie asks for top tool recommendations and pushes back against Geoff's sole endorsement of Claude by defending ChatGPT's superior prompt handling for image generation. Geoff pushes back against obsessing over tool stacking rather than high-leverage business problems. | |
| Enterprise Data Strategy and Real-Time AI Sales Coaching | 8 | 5 | 3 | 4 | Codie asks about centralized company data lakes and division-level sub-agents. Geoff outlines automated customer feedback podcasts and real-time sales coaching prompts, while Codie matches his examples by describing her company's Avoma-integrated real-time sales objection bot. |