Now supporting Claude Code, Cursor, and more

Stop guessing about AI. Start measuring.

Your team uses Claude, Cursor, ChatGPT. Do you know what's working? Zaluno shows which tools drive results and uncovers the patterns that make engineers 10x faster.

See Your AI Insights How It Works

Your team uses 4 different AI tools. You have no idea which ones deliver.

How much are you spending? Is it making anyone faster? Are some engineers getting 10x value while others struggle? Without data, you're just hoping.

"What are we spending?"

Claude, Cursor, ChatGPT: you're paying for all of them. But you don't know which ones your team actually uses, or how much it's costing.

"Is it actually helping?"

Leadership wants to know the ROI. You want to justify the budget. But all you have is anecdotes and gut feelings.

"Why is Sarah so fast?"

Some engineers are 10x more effective with AI. Their tricks stay in their head. The rest of your team reinvents the wheel.

The right insights for every role.

Engineers optimize their workflow. Managers spot adoption gaps. Execs get the ROI numbers they need. Admins never see individual sessions.

For Engineers

See where your AI budget actually goes
Learn which prompts work best for you
Get suggestions to work faster

For Managers

Know exactly what AI is costing your team
See which projects benefit most from AI
Spread what works across the whole team

For Executives

Budget confidently for AI tools
See trends, never individual conversations
Prove ROI to the board with real data

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Insights without exposure.

Zaluno analyzes conversations but only extracts insights. Full transcripts are encrypted and inaccessible.

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claude-code

user: add error handling to the API routes

assistant: I'll add try-catch blocks and proper error responses.

code: try { const result = await db.query(sql);

code: } catch (err) { return json({ error: err.message });

user: refactor this to use async/await

assistant: Converting the promise chain to async/await syntax.

code: const data = await fetchUserData(userId);

user: write tests for the auth middleware

assistant: I'll create unit tests using vitest.

code: describe('auth middleware', () => {

code: it('rejects invalid tokens', async () => {

user: optimize the database queries

assistant: I'll add indexes and batch the queries.

code: CREATE INDEX idx_user_email ON users(email);

user: add rate limiting to prevent abuse

assistant: Implementing a sliding window rate limiter.

code: const rateLimit = new RateLimiter({ window: '1m', max: 100 });

user: implement websocket connections

assistant: Setting up WebSocket server with reconnection.

code: const wss = new WebSocketServer({ port: 8080 });

user: add input validation with zod

assistant: Creating zod schemas for request validation.

code: const userSchema = z.object({ email: z.string().email() });

user: setup CI/CD pipeline

assistant: Creating GitHub Actions workflow for deployment.

code: - name: Deploy to production

code: run: pnpm deploy --prod

user: add dark mode support

assistant: Implementing theme toggle with CSS variables.

code: :root { --bg-color: #ffffff; }

user: implement file upload with progress

assistant: Adding multipart upload with progress tracking.

code: xhr.upload.onprogress = (e) => updateProgress(e);

user: add pagination to the API

assistant: Implementing cursor-based pagination.

code: const items = await db.select().limit(20);

user: create a caching layer

assistant: Setting up Redis for caching.

code: const cached = await redis.get(key);

user: add email notifications

assistant: Integrating with Resend for emails.

code: await resend.send({ to: user.email });

user: implement search functionality

assistant: Adding full-text search with postgres.

code: WHERE to_tsvector(content) @@ query

user: add logging and monitoring

assistant: Setting up structured logging with pino.

code: logger.info({ event: 'user_login' });