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12/06/2026

𝟓 𝐩𝐫𝐞-𝐬𝐚𝐥𝐞 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐞𝐯𝐞𝐫𝐲 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐡𝐨𝐮𝐥𝐝 𝐭𝐞𝐬𝐭

If you’re using AI anywhere in the buyer journey, I’d test these first:

1. How much does this cost?
2. What makes this different?
3. How long does implementation take?
4. Will this work for my situation?
5. What happens after I sign up?

If the system struggles with those, that’s where I’d start.

10/06/2026

One thing I’ve learned building in this space:

A lot of noise disappears when you focus on usefulness.

Can it answer clearly?
Can it stay grounded?
Can it reduce friction?
Can it help a real team?

That clears out a surprising amount of nonsense.

08/06/2026

𝐌𝐨𝐬𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐝𝐨𝐧’𝐭 𝐧𝐞𝐞𝐝 𝐦𝐨𝐫𝐞 𝐀𝐈 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬

Hot take:

A lot of businesses don’t need more AI features.
They need better source material.

If your pricing page is vague, your docs assume too much, and your support content is half-clear, no model is going to magically fix that.
AI often exposes clarity problems that were already there.

05/06/2026

A weak answer is frustrating.

It’s also useful.

It usually points to missing content, unclear source material, or a gap in how the business explains itself.

That’s fixable.

03/06/2026

Repeated questions from customers are not merely support noise; they are signals indicating important areas for improvement. These signals suggest that:

- Buyers are still unclear
- Customers are getting stuck
- Documentation may be incomplete
- Onboarding processes might be weak
- The business is making too many assumptions

This is why I pay close attention to question patterns.

They reveal where the business still needs work.

01/06/2026

One simple way I think about answer quality:
Question → Result → Why → Fix
That’s it.
Did the system answer the question?
If not, why not?
And what should be fixed first?
A lot of teams jump from “the AI answered something” to “looks good.”
That skips the part that actually matters.

29/05/2026

Your website usually isn’t answering what buyers actually care about

A lot of businesses think their website explains what they do.
Sometimes it does. But when you look at the actual questions buyers ask, you usually find the gaps quickly.
Pricing confusion.
Implementation confusion.
Comparison confusion.
“What happens after I sign?”
“Will this work for my situation?”
“How long does this take?”

That’s where a lot of friction lives. Usually not because the business is bad. Usually because it knows too much and explains too little.

27/05/2026

A quick thought on the difference between AI that replies and AI that actually helps.

25/05/2026

What I’m building is not “just a chatbot.” I’m trying to solve a more specific problem.
Businesses get asked the same important questions every day.

Before the sale. After the sale. During onboarding. During support.

Most teams either answer them manually, answer them inconsistently, or throw AI at the problem and hope for the best.
I’m more interested in building something that gives better answers and shows the business what it still hasn’t explained clearly enough.

That second part matters more than most people realize.

22/05/2026

Why “mostly right” is still wrong

I’ve spent a lot of time around systems where “mostly right” is still wrong.
That changes how you look at AI.
A lot of AI still gets judged by whether it looks impressive in a demo.
I care more about whether it gives a clear answer when a real buyer asks a real question.
That’s a very different standard.
And honestly, it’s the one that matters.
That’s a big part of why I’m building what I’m building now.

Address

27 Old Gloucester Street
London
WC1N3AX

Website

https://www.infin8y.com/, https://www.linkedin.com/showcase/infin8y/, https://www.infin8y.es/

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