Journal entries connected by topic.
Journal 043
A growing category is trying to preserve AI conversations, memory and context across models. That may let Wayli focus on a narrower problem: preserving the state a person has actually accepted.
Journal 042
Portable AI memory may solve the problem of repeating ourselves. Threads is our experiment in solving the problem that comes next: preserving what the user actually decided.
Journal 041
AIR produced deterministic, repeatable results, but checking six assessments against the websites exposed something more important: a reproducible interpretation can still be wrong.
Journal 040
Making AIR's scoring more transparent exposed an Audience score that could never be reached. Testing the problem led us to simplify the question rather than weaken the evidence standard.
Journal 039
Testing AIR on Wayli exposed a weakness in where the assessment looked, leading to a more representative bounded acquisition method.
Journal 038
Wayli began with calculators, questions and a growing realisation that the real product was understanding.
Journal 037
A technically healthy website can still produce a poor AI answer when the retrieval system selects the wrong evidence.
Journal 025
The biggest improvement to AI Readiness wasn't a better engine. It was realising what people should not have to pay for.
Journal undefined
We don't publish because we have all the answers. We publish because we're still looking for them.
Journal 018
Testing Wayli didn't just improve our website. It changed what AI Readiness was becoming.
Journal 019
Testing one website taught us about Wayli. Testing one hundred began to teach us about AI.
Journal 022
One hundred businesses gave us our first evidence. It also reminded us how much we still have to learn.
Journal 016
The first question is rarely the real problem. Wayli exists to understand what people are actually trying to decide.
Journal 017
Before asking anyone else to trust our Understanding Engine, we pointed it at ourselves.
Journal 015
Looking back, Wayli didn't change direction. Each project simply revealed a deeper question than the one before it.
Journal 014
We set out to improve a mortgage page and ended up questioning whether Wayli should generate reports at all.
Journal 011
AI Readiness wasn't built by looking for customers. It started by trying to understand whether AI understood Wayli.
Journal 010
One of the hardest lessons wasn't deciding what to build. It was deciding what not to build yet.
Journal 009
We weren't trying to build another product. We were trying to understand how AI would understand Wayli.
Journal 004
I expected to spend most of my time writing code. Instead, I spent it learning how to ask better questions.
Journal 003
The biggest improvement wasn't better code. It was asking better questions.
Journal 002
AI helped me learn faster, but it never replaced the thinking behind the project.
Journal 001
I thought I was building better calculators. I slowly realised I was trying to solve a different problem.