Product builders

Audited product enhancements. Open the terminal and start building.

AI made shipping software features cheap. The work is judgement now. Decide what to build, present it, then drop straight into build mode in Claude.

Continuum Tracker amplifies that workflow. Every morning an evidence-backed, prioritized list of product enhancements is waiting at your terminal. Query the user problems, reason over the evidence, and build. All in one tool.

Product builders Small product teams Flat hierarchy organizations
You asked for your priorities from Nova Stays. 9 Read 1 file, listed 1 directory, ran 3 shell commands Nova Stays — Book the trip from the same place you paid for it. Travel money and travel plans stop being separate. Mission: travel booking built into the account that already holds the money. North star: percentage of sign-ups per month, target 600/month. Nova Stays has 32 user needs carrying 140 connected data items; the top 5 pain points hold 98 of them. Below are the top 5 user needs ranked by evidence.
#Evidence countUser needCustomer pain point description
128Cancellation Terms Before PaymentThe cancellation deadline and the real refund amount only appear after the card is charged, so travellers book elsewhere rather than risk a non-refundable rate.
222Trip Total in Home CurrencyNightly rates show in the local currency and the conversion happens at checkout, so the amount that finally leaves the account is a surprise.
319Bookings Beside the Card SpendA stay booked in the app never appears next to the card transactions that paid for it, so the trip budget has to be rebuilt by hand.
416Changing Dates After BookingMoving a stay by one night means cancelling and rebooking at whatever the price is now, because an existing reservation cannot be amended.
513Shared Trips With a CompanionOnly the person who booked can see the reservation, so partners and colleagues re-enter the same details in a separate thread.
Which customer pain point should we work on today? Answer with a number.

This terminal replays an illustrative example for a digital product. Nova Stays and its features are a hypothetical product, and the real output will differ depending on your own product, data and setup.

Product builder workflow

Product prioritization runs where you already build

Install the Continuum Tracker skill in Claude Code and every AI agent you run inherits the same product context: your products, the ranked customer pain points and the evidence. There is nothing to look up before the work starts, because the prioritized list of product enhancements is already in the terminal. You keep the product strategy. We synthesise the incoming product data.

what are my priorities? Called 1 tool, ran 2 shell commands Verified auth. You have 14 products in Continuum Tracker — here are yours, alphabetically.
#ProductVision
1Nova CardSpending that makes sense the moment it happens. Every purchase categorised before you close the app.
2Nova Crypto(no vision set)
3Nova ExchangeSend money across a border for the price of a coffee, at the rate you were actually quoted…
4Nova InsuranceCover that switches on when you land and off when you get home. Insurance you never think about.
5Nova JuniorPocket money that teaches. Children learning what things cost before the first real salary.
6Nova PartnershipsTo put the account where people already are — the airline, the retailer, the phone contract.
7Nova PremiumOne subscription that quietly removes the fees, the queues and the paperwork from every other Nova product.
8Nova SavingsA rainy-day fund that fills itself from the rounding on every purchase.
9Nova StaysBook the trip from the same place you paid for it. Travel money and travel plans stop being separate…
10Nova TeamsOne shared account for a small business, with the documents, approvals and permissions in one place.
11Nova TransfersSplitting a bill should end the conversation, not start one…
Which product should we work on today? Answer with a number. ✻ Crunched for 40s

This terminal replays an illustrative example for a digital product. Nova Stays and its features are a hypothetical product, and the real output will differ depending on your own product, data and setup.

The development process

The machine ranks the product enhancements, the human evaluates. All in the terminal.

    • Human review — gate keeping
    • Human review — gate keeping
    • Human review — gate keeping
    • Human review — gate keeping
Getting data in

Connect what you already use

Claude Code Access data in Claude
CSV import Send a spreadsheet
n8n Automate any data inflow
Voice Voice transcript
Written text Copy & paste text
The second opinion

One AI devil’s advocate. Six perspectives before you build.

A customer pain point has different potential when you look at it from marketing, the UI, traction or the business model. Most builders check one or two, then build. The agent argues the other side of whichever course you take.

It is connected to the market data we synthesise, so you are not prompting a chatbot or a general LLM but a product agent that already knows your product market. Everything you argue out stays attached to that customer pain point for later.

Six perspectives on one customer pain point, each showing how far it has been explored
Continuum Tracker leadership presentation

Secure leadership buy-in for large, complex features

Small changes ship on their own. Large, complex features do not. Senior stakeholders want to be in the decision, not told about it. Without their buy-in the work waits.

Continuum Tracker builds the presentation and keeps it attached to the customer pain point it argues for. So it is not a deck but a case you can query, right down to the comparable products, the market research, your customers’ pain expressions and the similar pain points found on your market.

Sign Up for Beta

Manual presentation override

Adapt the presentation to a specific audience, or correct anything the AI wrote, at any point before you present it.

Connected to your pain point

All the product data behind it stays attached, so every claim can be traced.

Presentation mode

One click and the slide deck goes fullscreen, ready for leadership and key stakeholders.

Version control

The same case needs slightly different wording for each audience. Version them. Present in their language to get the outcome you want.

Market research

Every user need arrives with its own market research

You can see exactly which products our AI “thinks” are similar to yours. It uses that knowledge to sharpen its product strategy reasoning, yet the whole system stays auditable.

Your AI product agents carry this product reasoning into every session as context, to improve the outcomes.

A customer pain point beside the shipped solutions that match it, each scored for similarity
FAQ

What builders ask us first

Isn’t this just a wrapper around Claude?
Partly, yes. The skill itself is thin, a wrapper. What matters is what goes through it. A database of your customer evidence clustered into user needs, and research on your product market. Claude cannot build that from a prompt, because it is work that runs continuously and outside the session. And if you already maintain all of it yourself, there is still the devil’s advocate. An agent that argues the other side of your direction from six perspectives, against the market data rather than against your own opinion.
Where does the market research come from?
Research is derived from shipped products capturing some portion of your product market. The Market research tab on any user need shows you the companies and the solutions they shipped for a user problem comparable to yours.
I have 3 users. Is there enough data for this to mean anything?
Half the context never comes from you. From your website we work out which product market you are in and pull the products closest to yours out of it, so there is something to prioritize against on day one. If you would rather not point us at a site, describe the product in your own words during onboarding instead. Evidence only sharpens the recommendation.
What if I don’t work in Claude Code?
Everything works in the web app, and there is a documented REST API with per-key rate limits, so you can pull your priorities into whatever you already automate with. The Claude Code skill is the shortest path for people who live in a terminal, not the only one.
Can I change what the presentation says?
At any point before you present it. Rewrite the wording for a specific audience or correct anything the AI wrote, and every version is kept. The same case usually needs different words for engineering than it does for the board, and both stay attached to the pain point they argue for.
What if I disagree with the ranking?
You cannot reorder it, not yet. Delete the user need to tell the AI it was wrong, or switch to manual mode.