A first product
You have a customer problem and an idea for solving it. Let’s work out what to test before committing to a full build.
- Customer problem and scope
- Prototype for early feedback
- A first version customers can use
From your first prototype
to the next release.
We design and build software, help finish products already in progress, and put AI to work inside your business. Our engineers can own delivery or join your team, working against your roadmap.
For startups building something new or improving what’s already there.
A booking tool, built around the business.
Illustrative example: independent salons managing appointments.
01Understand the processHow customers book and staff confirm
02Test the booking experienceA prototype to review with salon owners
03Build the first releaseBookings, availability, and reminders
04Review real useCompletion rates and customer feedback
Explore an illustrative project path.
A scope agreed togetherWorking software to reviewA clear role for AISource access and handover
What do you need to build?
Bring the customer problem, an existing codebase, or a process you want to improve. We’ll agree on what to build and what a useful first release needs to do.
Get ready to show it.
A working prototype is one part of the story. We can also help with a launch page, a product demo, and a clear explanation of the customer problem for a pitch.
Work through AI with your team.
Bring a real process to a working session. We’ll identify useful AI applications, decide what needs human review, and choose one use case to test.
Ask about AI coachingLet’s agree on
how we’ll work.
Build alongside us, review progress at agreed milestones, or leave implementation with us. You can also embed specialists within your existing team. We shape the engagement around your roadmap, delivery cadence, and the responsibilities you want us to take on.
How involved do you want to be?
We agree on which decisions you want to make and which you want us to recommend. The scope should make those responsibilities clear.
What is already working for your team?
We review your tools, code, and existing process first. Keeping a useful system is often the right choice. We explain the tradeoffs before proposing a replacement.
Need specialists within your existing team?
Product, design, and engineering specialists can join your existing team. They work in your tools, take on agreed responsibilities, and plan delivery with your team against your roadmap.
Need forward-deployed AI engineering?
Our forward-deployed engineers work with the people doing the job to identify useful AI applications. We test the selected use case with your data, connect it to your systems, and deploy it with agreed checks, monitoring, and human review.
Working toward an existing roadmap?
We plan the work against your roadmap and target dates. Together, we agree on scope, staffing, and dependencies, review progress regularly, and raise changes early so you can make informed delivery decisions.
Where should AI have permission to act?
We identify which steps AI can handle, which outputs need review, and who handles an exception. Those decisions belong in the workflow, before it goes live.
What will you have at handover?
The project agreement covers source access, documentation, hosting, and handover. You should know what you’ll receive and what it takes to maintain it.
From a conversation to a working product.
Understand the problem
Discuss the customer, the current workaround, and what a useful result would look like.
Agree on the scope
Choose the first deliverable, the budget constraints, and how decisions will get made.
Review working software
See progress in demos. Test it, ask questions, and resolve tradeoffs while the work is in reach.
Decide what comes next
Review what we learned and agree on the next release, handover, or change in direction.
A closer look at the work.
AI changes the work.
The product should change with it.
Adding AI to an old process is only a starting point. The useful question is where it helps, where a person should decide, and what the team can stop doing altogether.
Make room for judgment.
Microsoft’s 2026 Work Trend Index describes a shift toward people directing and reviewing work as agents take on execution. For a product team, that makes clear goals and review points part of the design.
Read Microsoft’s 2026 researchDecide what to delegate.
Anthropic’s research shows both collaboration and delegation in real AI use. We use that distinction when mapping a workflow: what needs a conversation, what can run on its own, and what needs approval.
Explore Anthropic’s Economic IndexMeasure the whole job.
METR’s developer studies show why productivity is hard to judge from impressions alone. In a project, we look at the complete result: time spent reviewing, errors caught, and whether the software does the job.
Read METR’s measurement updateResearch informs this approach; it does not establish a delivery-speed guarantee. The studies examine different tools, tasks, and groups of people.
Tell us what
you’re working on.
A few sentences are enough. What are you trying to build, who needs it, and where are you stuck?
Prefer email? info@infinityedge.llc
— Building tomorrow, today —