The 4 AI Models I Use for 4 Different Jobs (And Why One Is Never Enough)

Here's how I split my AI workflow.

(I'm not going to name specific model versions because they change every few months, but the categories are stable)

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Lane 1: Deep Analysis & Strategy (The Thinker)

This is your most powerful, most deliberate model. Slower outputs, but significantly more thorough reasoning. I use this for:

• Analyzing customer data and finding patterns (like the Carol Method deep-dive)

• Evaluating strategic decisions with multiple variables

• Writing investor updates and board materials

• Reviewing contracts and legal docs before sending to counsel

• Synthesizing competitive research into actionable insights

The key here is that you're trading speed for depth. When I fed Valley's entire customer dataset into our Thinker model, it found the agency segment pattern that changed our whole GTM strategy. A faster model gave me surface-level observations. The slow one found the insight worth millions.

Lane 2: Rapid Iteration & Drafting (The Sprinter)

This is your fast, cheap, good-enough model. Use it for volume work where you need quantity before quality:

• First drafts of emails and outreach messages

• Generating multiple variations of ad copy

• Quick summaries of long documents

• Brainstorming session starters

• Internal comms and Slack messages

The mistake people make is using their Thinker model for first drafts. Save the horsepower for work that actually needs it.

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Lane 3: Creative & Voice Work (The Writer)

This is where you need personality. Different models have genuinely different "voices.” Some are more natural, some more formal, some better at matching a specific tone:

• LinkedIn posts and social content

• Sales messaging that needs to sound human

• Customer-facing copy

• Anything where tone matters as much as content

The biggest unlock here is training the model on your existing voice. Feed it your best 20 LinkedIn posts, your most successful outreach messages, your customer testimonials. Then ask it to write new content in that style. The output is dramatically better than starting from a blank prompt.

Lane 4: Data Processing & Research (The Machine)

This is for structured, repetitive, high-volume work:

• Enriching prospect lists with company and contact data

• Classifying leads by segment or intent level

• Extracting key points from sales call transcripts

• Reformatting data between systems

• Bulk categorization tasks

  
  

This lane is about reliability and cost efficiency. You need the output to be consistent across 500 records, not creative on any single one.

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