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Your AI should already know how you work.

Build one that does, and keep the edge.

An AI brain is a working system that holds your standards, your context and the decisions you have already made, then uses them on real work. Built with you in private, inside your own accounts.

What it does on a Monday.

More of the work only you can do.

  • The board paper, argued from every side before you walk in
  • Your network, searchable at the moment a name matters
  • The taste that makes your work yours, written down and applied

Less of the work you would rather not do.

  • Copy drafted in your voice, to your standards, before you arrive
  • The admin between decisions
  • The first pass of everything you currently dread starting

Hours back every week, and better calls made with them.

How it learns you.

Two pieces of your own work, side by side

You say which is the better one, and why. Real work, never a questionnaire.

It writes down the rule you used

In your words, with the two examples kept beside it as the evidence.

The next piece tests the rule

What holds is kept. What does not is rewritten, by you, and the record shows when.

How it decides.

Behind the brain sits CTRL, our own decision engine. It lays out a situation in plain English: the trade-offs, the arguments against, and what would change your mind.

Ours, two years in the buildingDecades of decision research inside

We built this for ourselves first. Then we build yours.

We trust the source, not the sales pitch.

What a company publishes about its own product counts for less than what it actually shipped.

Two sources agree, or we leave it out.

One report is a rumour. Two that agree is something you can use.

It tells you when it cannot know.

If the answer depends on something only you know, it says so rather than guessing.

What it holds.

CTRL, full app frame: Your Digital Brain graph, 42 things known, 18 confirmed by the owner, one connection open, load-bearing and confirmed

You confirm what is true and fix what is not.

Two leaders, and what they kept.

Publishing moved from monthly to most days.

A founder-owned content system cut publishing time from days to under an hour. Publishing moved from about monthly to most days.

Since working with Krish I've learnt to push through basic barriers I didn't realise I could, and he set up systems that make me more effective and more motivated. I used to post once a month; now it's most days because I focus on building an AI engine around what I do and what I get bottlenecked by. It's helping me be seen by my customers.Founder, research and content brand

About once a monthMost days

The business was rebuilt and left in the founder's hands.

An eight-week rebuild covered the brand, offers, lead capture, content and outreach. Five videos shipped in week one.

The reason I'm loving Krish's sprints is the unique approach. He uses his incredible knowledge of AI and tech to help me with really human problems. I'd had an AI mentor before who was way too technical. Krish thinks about me and the results I need.Founder and CEO, executive coaching practice

5

videos shipped

in week one of eight

See what it would do for you.

01We read your companyWhat it sells and how it talks about itself, pulled together from public sources while you watch.
02Then we read your weekWhat the same picture means for the work only you can do, rather than for the business in general.
03One email, and that is itWeek one written out, our terms, and nothing else afterwards.

Four details and two taps.

We read your company from the outside, then what that means for your own week rather than for the business.

We read your company from this.

Which part of the business do you work in?
What eats most of your week?
If it remembered everything you value, point it first at

One piece of work, and the second half is optional.

The build

Built once, connected to where you already work.

We learn your standards from real work, switch on the parts that keep learning, and leave when it is running.

The habit, optional

It gets better the more you use it.

Occasional check-ins to build the habits that keep it improving. No monthly retainer.

Questions people ask us

01

Does anyone in my company need to know?

No. The work happens on your own decisions, with you, and nobody else in the business has to be told you started. Where the work needs your team, you decide when and how they come in.

02

Do I need to be technical?

No. That is rather the point. We handle the technical side, and everything the system shows you is in plain English.

03

What actually happens in the work?

Week one we learn how you decide, from real work rather than a questionnaire. Week two the first piece goes live and you use it. After that we connect it to the tools your week already runs on and tighten it against what you actually did with it. You see something working from the first week, not a plan at the end.

04

What do we keep at the end?

The system, the automations and the record of your standards. All of it is yours, and it keeps working after we finish.

05

Who sees my data?

Only you. We build it inside your own accounts, and we never publish, share or train anything on your work.

06

How do you charge?

On the result, agreed before we start, and not on hours or a monthly retainer. We say what the work will produce, you agree the number privately, and it does not move afterwards. There is nothing to cancel at the end because there is nothing running.

07

What if it does not work?

You would know inside the first week rather than at the end, because something real is running by then. If it is clearly not going to be worth it we say so and stop, and you keep whatever has been built up to that point.

08

We tried AI and it got things wrong. Why would this be different?

It will get things wrong, and so will the next one. What matters is what happens then. Writing, the loom, the calculator and satnav all drew the same objection when they first slipped, and the objection was rarely about accuracy. A system built inside your own accounts, that shows its sources and says when it cannot know, is one you can check rather than one you have to trust.

09

Why do I need this? Could I not do it myself?

You could, and some people should. What usually stops it is not capability, it is that the work never reaches the top of anyone's week. We bring the time, the tooling and the pattern from having done it before, and we leave you owning it rather than depending on us.

The idea underneath this

Sixty seconds on the idea underneath all of this: machines do the remembering and the searching, and a person still makes the call.

You keep everything.

The system, the automations and the record of your standards.