01 · Where it began
It started with a dumping folder.
No product screen. No neat four-step framework. I dropped in whatever the client had and waited to see whether one machine could hold the whole market in its head.
The first version worked like this. I dropped the client’s domain into a folder, added a recording of the call in whatever format Whisper could understand, and put every existing document beside it. Then a dedicated coding session went away for two days and dug through the market.
Every hour it deepened the weighting of hypotheses, found evidence, built maps of job titles, connected company size to role and market, and took apart every competitor around the business. What came back was already useful. It was also slow, expensive and frighteningly dependent on one session keeping the whole world in context.
Even then I knew what kind of animal this was. I had held a $2,000,000 consulting report in my hands before, and this rough machine could already see connections that report had missed. That was the good news. The bad news was that I could not make a business out of waiting two days for one enormous session to survive its own reasoning.
Version two stunned people. Version three made that look small.
The people I showed version two to were looking at their own businesses and seeing markets they had never named. Version three was several times better. By then the release looked close enough to touch. The research was wider, the letters were more specific, and the market vocabulary went far beyond anything a normal database filter could express.
Then GPT 5.6 Sol Max appeared, and I could not leave the possibility of another jump alone. Several more days disappeared. Every weekend. Sixteen hours a day. I kept running the same difficult work through different models because “probably good enough” is a ridiculous standard for something I was going to sell and answer for.
02 · 13 July, 18:50
The hammer changed its molecular structure in my hand.
In the middle of the work, both models I depended on stopped seeing the actual repository. I would say one thing, and they would grab that sentence and walk circles around it while the working code sat untouched. At 18:50 on 13 July, GPT 5.5 and Opus were doing both the design and the implementation noticeably better than Sol Max and Fable 5.
I had watched models degrade before. I had never watched them swing tens of times in either direction inside a week. With a small task, this looks like a bad answer. With a genuinely large repository, it feels like the tool in your hand has changed material and forgotten what a nail is.
I had 1,000,000 nails to drive. The hammer became solid occasionally, and I had to guess the moment.
03 · Version four
At five in the morning, I started writing the whole thing by hand.
Both major providers had told me to fuck off in their own technical language. The system still had to ship.
I sat there and wrote a ten-thousand-line prompt: market research, copywriting and business knowledge in one document. It was not a clever wrapper around a few API calls. It was an attempt to write down every judgment the work required, including the things that had lived in my head for years and had never needed names.
That became version four. At its peak, one scan for one product used between 290 and 500 sequential sessions. The record run took two and a half days. I burned tens of billions of tokens on experiments, and for eight straight days I ran almost nothing else.
A month went into making the models produce work that held together without deterministic constructors, brainless gates or a person assembling the answer between steps. I was not chasing a prettier paragraph. I was trying to make research, business reasoning and writing stay good at the same time, on any business, without me standing between the stages and fixing the joins.
The number of parameters that had to get along was absurd. A broad market map with weak letters was useless. Strong letters built on invented markets were worse. Thousands of search combinations meant nothing if the names collapsed into duplicates or if the person at the end had no authority. Every part had to survive the next part.
04 · The breakthrough
Everything hard turned out to be in the text.
I kept refining the doctrine and the paperwork until one machine could inspect another machine’s work, point to the weak part and send only that part back. I had to define “good” precisely enough for the system to use it, without reducing meaning to a dumb validator.
That is where the four sessions came from: Research, Writer, Market Arms and Judge. Each gets one job. Each can take up to fifty minutes. Each stands on the result before it. The stable version no longer asks one model to keep the whole world in its head.
The quality went up. The system drank all my blood and a few other fluids. I am sick of it. I am not stopping.