Developer Tools
Build an AI-powered diagramming tool
Kliv is an AI app builder. Describe the diagramming tool your team needs, and it builds a real app where diagrams render from services, edges, owners, and review states.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a diagramming product you configure from a preset canvas — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the database, the logic, the screens, and the workflows. What you get is a real app that’s yours. You can run it on your own accounts, keep the source in your own Git repository, and change it later by asking for changes. It isn’t a template.
On this page, that app is a diagramming tool for architecture maps. Kliv builds all kinds of web apps; this is one example.
Why build your own diagramming tool?
Architecture diagrams go stale when they are stored as images. A team changes a service, moves ownership, or retires an edge, but the wiki still shows the old picture. New hires trust it because it looks official.
Kliv can build a diagramming app where the picture comes from records. Services, connections, owners, review states, and documents are stored in the database. When a row changes, every view based on it changes too.
The diagram is data
The tool keeps the architecture as records, then renders the diagrams from those records.
Services
Each service is a record with an owner, tier, repository link, and on-call notes. A box on the canvas is that record shown visually.
Edges
Each arrow is a record too: caller, callee, protocol, and what breaks if the connection breaks. Hover the arrow and read the details.
Versions and reviews
A map change stays a proposal until someone approves it. Embeds show the reviewed version, while drafts stay private to the review flow.
Views
Onboarding can show only the ten boxes a new hire needs. Audit can show data flows and stores. Both views use the same records with different filters.
The doc shelf
Design docs and postmortems sit beside the map and feed the team knowledge base that the agent answers from.
The drafting agent
Describe a flow and the agent drafts services and edges as rows. The team checks the result, moves it on the canvas, and approves what is true.
An example: Priya’s platform team
Here’s how one team might use a diagramming tool built with Kliv. It’s only an example — you would describe your own systems, review rules, and documentation.
An incident exposes the stale map
Priya’s outage review stalls because nobody trusts the wiki diagram. The action item is simple: keep the map current for real.
She describes the tool the team needs
Priya asks for services with owners, edges with blast-radius notes, and review before publishing. Kliv builds the app around those records.
The team seeds the first map
They import a service spreadsheet and add edges during a working session. The first useful map comes from records, not a finished PNG.
The agent drafts a payment flow
Priya describes the payment flow. The agent creates seven boxes and nine arrows. Two are wrong, so she deletes them; wrong records can be corrected.
A review changes every embed
A teammate proposes retiring an edge. The proposal notifies the platform channel in Slack, gets approved, and every embed shows the updated shape.
A new hire asks the current map
Six months later, a new hire asks what calls the rating engine. The answer comes from the current edges table, not from an old wiki page.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Say what records the diagram should store, who can edit them, and how reviews should work. Here are three to build on:
Service map
Boxes with owners, arrows with failure notes.
“Build a service map tool for a 40-person logistics SaaS. Store each service with owner, tier, repository link, and on-call notes. Store each connection with protocol and failure impact. Require platform-team approval before publishing changes.”
Flow drafter
Written flows become editable records.
“Build a diagramming app where I describe a request flow in plain language and an agent drafts editable nodes and edges on a canvas. Keep the generated draft separate until an engineer reviews and publishes it.”
Audit views
One graph, filtered per role.
“Build an architecture map with role-based views. Engineers can see all services and edges, auditors see only data stores and data flows, and new hires get a simplified onboarding view with the ten systems they need first.”
How it works in practice
The AI work is inspectable. Kliv builds and changes the diagramming app from your description. Inside the finished app, the drafting agent turns a described flow into records and answers questions from your uploaded design docs. Each conversation is saved in the app’s database.
GitHub can be part of the map. Every service card can carry its repository. Repository events can flag a watched service for review when a pull request touches it, so map drift gets noticed near the code change.
Access follows roles. Sign-in belongs to the organization, and each role gets the views it should have. The audit view only renders for sessions with the audit role.
You can leave with the work. The map is records in a database the company controls, and the app source syncs to a repository the organization owns.
An agent working on a team’s own data is the pattern behind many AI apps. The AI-apps page shows the same shape in other categories.
Common questions
What exactly is Kliv?
Kliv is an AI that builds custom web apps from a description. For diagramming, it can build a real tool where services, connections, owners, reviews, and documents are stored as data.
Do I get a real app, or a template?
A real app. Kliv builds the database, screens, review flow, and canvas behavior for your team’s case. You are not filling in a generic diagramming template.
Can I change it after it’s built?
Yes. Ask for changes in plain words, such as a new review state, a different audit view, or a new field on every service. Kliv updates the app.
Does the AI draw the diagrams for us?
It drafts them. You describe a flow, and the agent creates nodes and edges as records. Layout, correctness, and publishing stay with the team.
Why store diagrams as records instead of images?
Records can be searched, filtered, reviewed, and updated in one place. A PNG can only be replaced, which is why old diagrams keep looking official after they stop being true.
What keeps the map from going stale again?
Changes can require review, and repository events can flag services that need attention. Staleness becomes a visible queue item instead of a hidden wiki problem.
Who can see the map?
Signed-in members of the organization, with views controlled by role. The live app can show different slices to engineers, auditors, and new hires.
Can it answer questions from our docs?
Yes. Upload design docs and postmortems, and the agent can answer from that library, with the conversation stored in your app.
Can we connect it to GitHub?
Yes. Service records can store repository links, and repository events can be used to flag map reviews when relevant code changes merge.
Can I move off Kliv later?
Yes. The app source syncs to your own Git repository, and the map records are in your database.
Can different teams get different views?
Yes. The same service and edge records can render as an onboarding view, an audit view, or a full engineering view.
Will this replace architecture review?
No. It makes the review explicit. People still decide what is true; the app stores the proposal, approval, and published version.
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Build a map your team can keep current
Describe the records, the review flow, and the roles your diagramming tool needs. Kliv builds the app around that structure.
