Stop Treating AI Like Search

One tiny change in how you use AI can turn “pretty good” answers into work that actually sounds like you. We’re Jason Wright and Sarah, and we break down the shift from treating Claude like a search box to treating it like a coworker on a shared project. When you ask a single question, you get a single answer that lives or dies by how you phrased the prompt. When you collaborate over time, you build context and the quality starts to compound.

We dig into what “building context” really means using a simple analogy: a new hire. On day one, they don’t know your clients, your voice, or what you care about most. Months later, they do, and their work reflects it. That’s the same unlock for AI productivity, better prompt engineering, and more consistent brand voice. We walk through two practical ways to make it happen: setting up Claude Projects with reference docs, examples, and custom instructions, and running intentional conversation threads where you share background, iterate, and push back when the output is off.

We also call out the mindset that blocks most people: using AI like a transactional tool instead of a collaborative partner. If you want recommendations that are grounded in your business context, and writing that matches your tone, this approach is the fastest path there. Subscribe for more practical AI workflows, share this with a friend who’s stuck with generic AI output, and leave a review telling us what you want your AI to learn about your work.

If this sparked ideas for your brand or business, subscribe for more deep dives, share the show with a founder who needs focus, and leave a quick review to help others find it. Ready to explore your own AI-hosted podcast and growth system? Head to www.intentionallyinspirational.com, hit the blue button, and book a call with the human version of Jason Wright.

Transcript

Welcome And The Big Shift

SPEAKER_00 0:00

What's happening everyone? Jason Wright here. Joining me as always is Sarah.

SPEAKER_01 0:04

Hey everyone.

SPEAKER_00 0:05

There's a shift happening in how I use AI that I want to talk about today.

Questions Versus Project Work

SPEAKER_00 0:10

It's the difference between asking Claude a question and working with Claude on a project.

SPEAKER_01 0:15

That sounds subtle but important.

SPEAKER_00 0:17

It's massive. When you ask a one-off question, you get a one-off answer. Could be okay, could be generic, depends entirely on how you phrased it. When you work with Claude on a project, you build context over time, and the output gets dramatically better.

SPEAKER_01 0:32

What do you mean by building context?

The New Hire Context Analogy

SPEAKER_00 0:34

Think about a new hire. The first day, they don't know your business, your tone, your clients, your goals. You wouldn't expect great work from them, but six months in, they're producing stuff that sounds like you because they've absorbed how you think. AI works the same way if you let it. So how do you build that context?

Two Ways To Build Context

SPEAKER_00 0:51

Two ways. First, Claude projects. You can upload reference docs, set custom instructions, paste in examples. Now every conversation in that project starts with all that context loaded. You're not starting from zero each time.

SPEAKER_01 1:05

And the second way?

SPEAKER_00 1:06

Conversations themselves. Don't treat each chat as a transaction. Treat it like a working session. Give Claude background, share what's worked before, push back when the output's off. The

AI As Coworker Mindset

SPEAKER_00 1:18

longer the conversation, the smarter the responses get within that thread.

SPEAKER_01 1:22

Does that mean having really long conversations though?

SPEAKER_00 1:24

Not necessarily. It means having intentional conversations. A 20-minute working session beats 10 two-minute QA blasts every time. You build something together.

SPEAKER_01 1:35

What changes when people make this shift?

SPEAKER_00 1:37

Quality. The output starts feeling like it came from someone who actually knows your business. Tone matches. References make sense. Recommendations are grounded in your context, not just generic advice. People email me and say, this sounds exactly like me. And that's because Claude has been working with me, not just answering me.

SPEAKER_01 1:58

What's the mindset shift to actually do this?

SPEAKER_00 2:01

Stop thinking of AI as a search engine. Think of it as a coworker. Search engines, you ask, you get an answer, you leave. Coworkers, you collaborate, you iterate, you refine. The technology supports the second model. Most people still use it like the first.

Quick Security Scan Callout

SPEAKER_00 2:54

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Thanks And Sign Off

SPEAKER_00 3:12

it. Thanks for listening.

SPEAKER_01 3:14

Thanks everyone.

SPEAKER_00 3:15

See you in the next episode.

SPEAKER_01 3:17

Thanks for tuning in. Until next time, stay curious.