WHY NOW · FOR UK SOFTWARE BUSINESSES
Your team has AI now. Does your product ship any faster?
WHAT CHANGES
Fewer handovers, on your own product.
Today, a customer's request passes through a document, a ticket, a design file and code, waiting on messages and meetings between each, and the customer's reason is lost at the first handover. With BlooSprout, the same request goes through one AI step and a review, and reaches the launch email with the reason intact.
WHAT WE BUILD
Where we come in.
Illustration, animated once: a prompt for Claude Code or Codex, "Build this design for real.", is typed and sent, and a blank phone screen builds itself into a working app screen, its main button arriving last.
Designers and PMs who build.
From a customer problem to working software, inside your product.
Illustration: Brindlefen's brand kit, with its logo, colours, typeface and plain-words voice, briefs Claude, OpenAI and Cursor, which make two wordless posters in Brindlefen's navy and orange.
Your AI starts every task briefed.
Your product, your brand and what customers tell support, in every tool your team uses.
Illustration, animated once: a grid of small squares, each one an AI agent running the same checks. Grey means still running, yellow taking long, green passed and red failed. The first run ends mostly green with a few red; the red ones run again and all but one turn green.
AI features that hold up.
Built into your product and tested on real examples before customers see them.
Illustration: a small tile of product facts for a feature called Voice reports feeds three plain surfaces, a web page, a Gmail message and a walkthrough video, and all three carry the same line, "Voice reports are here."
Customers get what you've built.
A website that shows the business you are now, and every launch told the same way.
FOR EXAMPLE
One feature, from customer to launch.
Brindlefen is an example company we made up: a job app for heating engineers. These illustrations open the real pieces behind one of its features.
WHY US
A product leader who builds, and shows people how.
Vaibhav Rana has spent a decade in product work, from customer discovery to launch and support, and still does it as a Head of Product today. He designs and codes complete products, builds and tests AI features, and teaches because he wants more teams to work this way.
The product team he leads works this way every day: designers and PMs open pull requests, and engineers review them.
“Knowing what to put together is the skill.”
APPROACH
Your team learns the new way on your next feature.
Support tells you what to build next.
PMs, designers and marketers ship it. Engineers review it.
Every launch is drafted from the same product facts.
Anyone can ask the business and get a real answer.
Every job leaves your team a new skill.
Illustration: many support conversations are read together, and the question that keeps coming up is picked out and passed to the product team as the next thing to improve.
Illustration: changes made by a PM, a designer and marketing arrive already working, and an engineer reviews each one.
Illustration: once a release is approved, the launch email, the walkthrough and the website update are drafted from the same product facts and wait for sign-off.
Illustration: a person asks Claude and Codex which open deals are waiting on a feature; the question reaches the business's own tools, and an answer comes back with real context.
Illustration: a loop of four steps: do the work, check it, save what worked as a skill, and use it next time, so each job starts from the last.
HOW WE START
A conversation first, then a proposal.
Book a free call.
Fifteen minutes on which feature, why it matters now and who is involved.
We map what it needs.
What it must do, who it is for and where it slows down between your people and tools.
We send a proposal.
In writing, with a quote for that feature, built on what we mapped together.
QUESTIONS
Before the call.
What does it cost?
The call and the mapping are free. The price for your feature comes in your proposal.
Does our team need AI experience?
No. They learn by building the feature with us, in your own product and tools.
How long does a feature take?
We agree the dates with you in your proposal.
Do we commit to more than one feature?
No. Each proposal covers one feature.
Can we see work you have done for clients?
Client work stays private, even with names removed. Everything we show here is our own work.