- Competitors
- Market
Building got cheap.
Deciding what to build didn't.
AI is transforming how software gets built, but understanding the market, defining the domain and deciding what your product should do still take careful thought.
Kheel brings AI into that work too. Work with your AI assistant to explore customer needs, develop a common language, define capabilities and make product decisions, building a connected model of your product as you go. That model stays with you and your AI, from the first questions through to specification and development.
Kheel is in beta. Use all of it free for three months, with no card needed.
- Comparison
- Market
- Personas
- Market
- Glossary
- Domain
- Use cases
- Capability
- Decisions
- Specification
Product decisions are now the bottleneck
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01
Building software costs less
AI now writes a large share of the code in many teams, so being able to build a feature is less of an advantage than it used to be.
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02
Deciding what to build matters more
When competitors can build as quickly as you, products differ in smaller ways, such as which customers they serve and how well. Those choices need careful reasoning.
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03
That reasoning gets lost
AI already helps write competitor reviews, glossaries, job maps and specifications. Most of it ends up in chat histories and documents that nobody finds again, with nothing connecting one piece to the next.
A model of your product, built as you work it out
Kheel holds your competitors, customer needs, terms, rules and decisions as linked records. You build them up as you work out what the product should be, and you and your assistant come back to them each time.
Work out what matters
Work through the domain's language and rules, the jobs your customers need done and how competitors serve them, with your assistant reading the interview notes, drafting the definitions and checking a competitor's pricing page.
Keep the model coherent
Each concept is defined once, with the terms people use for it, and each rule is stated once. Capabilities and decisions link to what they serve, so a change shows where else it matters.
Question what you know
Ask across the links before you build: which customer needs nothing serves, which personas are still assumed, which stories have no acceptance example, and what a change would touch.
From the market to the specification
Kheel covers four areas, in the order product work usually moves through them. You don't need to learn them first: tell your assistant what you've found, and it puts it in the right place.
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Market
Your competitors and how they compare, the segments and customers you target, and the people involved in each sale.
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Domain
The terms people in the domain use, the jobs they need to get done and how they judge them, and the rules that apply regardless of software: the foundation the rest is built on.
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Capability
What your product does for its users, written as activities, use cases, stories, business rules and acceptance examples.
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Specification
The design decisions and the detailed specification that a developer or coding agent builds from.
User experience runs across all four. Personas are part of the market area today, and the free mockup skills let your AI draw screens from your design system.
Get the domain right before you design the solution
In one product, “role” might mean a position in an organisation, the responsibilities that go with it, or what a user may do in the software. Mix them up, and the mistake travels into the requirements, the data, the screens and the code your AI writes.
Kheel gives the domain a place of its own, apart from any software: the terms people use and how they relate, the jobs they need done and how they judge them, and the rules that hold whatever the product does. Your assistant works through it with you, and the free analysis skills give it a method.
More about the domainBring AI into product definition.
Work with the AI assistant you already use, such as Claude or Copilot, to understand the market, model the domain, define capabilities and develop specifications. You direct it to work inside your product model, using the definitions and rules you've agreed and building on what you've already worked out.
How it works- You
- Know the domain, set the priorities and make the decisions.
- Your AI assistant
- Does the legwork: reads your notes, drafts records and answers questions from the model.
- Kheel
- Holds the model: every record, how they link, and what changed.
MCP server address
https://kheel.app/mcp
Why not documents, a product tool and an assistant?
Your AI assistant can write a specification in minutes. But does it know which customer needs it serves, which assumptions are still untested, which rules already exist, and why earlier decisions were made?
Documents and product tools
Capture and organise the work: notes, roadmaps, feedback and tickets. Keep using them; Kheel links what they describe.
Kheel
Links market evidence and customer needs to the decisions behind what gets built, and shows what's missing.
Coding agents and delivery tools
Build and ship it, from a specification Kheel can trace back to the needs and decisions behind it.
Join the beta, free for three months
You don't need a complete model to start. In your first session, connect your assistant, describe your product and work through one real question together; the model grows from there. Every part of Kheel is in the beta, free for three months.
