Cuesoft

If someone has to walk to a meter, write the number down and type it in later, that number has three chances to go wrong.

We connected smart meters for an energy-transition partner this cycle. Each meter now keeps its own reading history on the platform, device by device.

It's the kind of work nobody asks for by name.

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There's a public holiday on Thursday, so this week gives you three working days before the break.

Decide this morning which job has to be finished by Wednesday night, and start there. The rest can wait for Friday.

Happy Monday from all of us at Cuesoft.

You save a property, the screen doesn't change, and you're not sure it worked.

Small thing, except it's the moment somebody decides whether the app is reliable. We worked on that this cycle for a proptech partner, and on a click that sent signed-in people back to the logged-out page.

Neither is a feature anyone asks for by name. Both decide whether people come back.

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There's a note you left yourself on Friday about where you stopped.

Read that first on Monday morning, before the inbox gets a vote. The first hour of the week is the quietest one you'll get, so give it to the work that needs you thinking rather than answering.

Happy Monday from all of us at Cuesoft.

A figure on its own is not information. It is a number that happens to be true today.

We spent this cycle on that with a partner working in climate. Their reporting held plenty of accurate figures that nobody could act on, because none of them said which direction they were going.

Every figure now carries its movement against the previous period, with the trend drawn behind the number. And where a figure genuinely is not available, it says so rather than showing a zero.

That last part matters more than it sounds. A missing measurement shown as nought is a claim made on the reader's behalf.

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Getting a model into production is the part that decides whether the work mattered. MLOps, LLMOps and GenAIOps takes twelve weeks and teaches you to deploy a live model and keep it working properly.

You learn it from engineers who do this every day, and you finish certified.

The next cohort begins on 1 October. cueta.cuesoft.io

Eight weeks is enough time to build an AI agent that actually works. AI-Assisted Backend Engineering gives you one real project and grows it week by week until you can hand it to somebody.

You learn it from some of the most talented software engineers we have, and you finish certified.

The next cohort begins on 1 October. cueta.cuesoft.io

Every business has work that repeats itself every single week. AI Workflow Automation shows you how to hand that work to AI and get your time back, and it takes four weeks.

You learn it from some of the most talented software engineers we have, and you finish certified with automations you can put straight to work. Come yourself or send your team.

The next cohort begins on 1 October. cueta.cuesoft.io

There's a job on your list you already know you're going to move to tomorrow.

It's the one with no obvious first step, or the one you're not certain you'll do well. So it slides, and the four smaller things get done instead.

But the hard one is usually the one the others are waiting on. Move it to Thursday and you don't get a lighter week, you get the same week with less room in it.

Take it first, while the day is still yours. You don't have to finish it, just start it.

Happy Monday from all of us at Cuesoft.

Buying a home that isn't built yet means paying for something you can't stand in.

You send money against a plan and a promised date, and the gap between what was promised and what actually gets built is carried almost entirely by the buyer.

We spent this cycle on that with a partner in proptech. Their platform now keeps finished properties and under-construction projects apart, gives the developer a schedule of milestones with dates, and releases each payment only once its milestone is met. The money waits in escrow in between.

What it changes is the question the buyer is being asked.

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