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Product copilot, built on your data

Your product, smarter with an AI copilot that knows your app

Embed a product copilot that answers questions, guides workflows, and understands your real data. Help customers succeed—without growing your support team.

Launch CopilotTalk to experts

Answers questions from your data

Guides customers through workflows

Grows revenue without scaling support

Turn support tickets into instant answers

Give customers an always-on assistant that understands their business context.

Reduce support volume

Customers get answers instantly, 24/7, without waiting for human agents. Support tickets drop dramatically.

Faster onboarding

New users learn your product through guided conversations, not dense documentation.

Increase feature adoption

Copilot surfaces relevant features users didn't know existed, driving engagement and retention.

Personalized experience

Responses based on user's actual data, plan, and context—not generic docs.

Scale without headcount

Handle 10x more customer questions without growing your support team.

Embed agents directly in your product

Deploy the same runtime that powers standalone agents—embedded as a copilot in your app. Your agents access your data, execute your tools, and integrate seamlessly with your product without external dependencies.

Assistant
U
You
How do I improve revenue?
A
Agent
Based on your data, you could focus on customer retention strategies and targeted campaigns.

Define agents in TypeScript

Write your copilot agent with full type safety. Access your tools, data, and knowledge base to deliver intelligent, context-aware assistance directly within your app.

Agent runtime
import { workflow, llm, memory } from '@calljmp/agent';
import { z } from 'zod';

export function run(input: { message: string }) {
  return workflow.phase(
    'Copilot',
    () => llm.generate({
      input: [
        {
          role: 'system',
          content: 'You are a copilot for a dashboard.',
        },
        {
          role: 'user',
          content: input.message,
        },
      ],
      memory: memory.short.context(),
      tools: [
        llm.tool({
          name: 'queryMetrics',
          description: 'Query dashboard metrics',
          parameters: z.object({
            sql: z.string().describe('SQL query to fetch metrics data'),
          }),
          execute: ({ sql }) => database.query(sql),
        }),
      ],
    })
  );
}

Workflow in three steps

From idea to live copilot in 3 steps

Simple, straightforward process to get your copilot running.

1

Connect Your Data

Give the copilot access to your APIs, databases, and documentation.

2

Define Behavior

Set guardrails, personality, and what actions the copilot can take.

3

Embed & Launch

Drop in the SDK widget—your copilot is live in your product.

Ready to launch your product copilot?

Join teams building the future of customer support and product guidance with Calljmp.

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Real scenarios where copilots make an impact

Cover support, onboarding, analytics, and internal tooling with one copilot runtime.

Customer Support Copilot

Answer product questions instantly using docs, settings, and account data.

Dashboard Assistant

Help users explore data, understand metrics, and configure features.

Onboarding Guide

Walk new users through setup with personalized recommendations.

Admin Helper

Assist power users with complex configurations and troubleshooting.

Internal Tools Assistant

Help employees navigate internal systems and find information.

Enterprise-ready from day one

Built with security and compliance in mind.

Your Data, Your Control

Copilot only accesses what you expose via tools. You have complete control over what data and APIs it can reach.

No Data Training

Customer data is never used to train models or improve AI performance. Your information stays yours.

Secure Connections

WebSocket with automatic reconnection and message queueing. Built on Cloudflare infrastructure for enterprise security.

Usage Analytics

Track every copilot interaction for compliance, optimization, and understanding customer behavior.

Role-Based Access

Control which users can see and interact with the copilot. Align with your existing permission models.

Built by developers, for developers

Real technology that powers real copilots at scale. TypeScript-first, real-time WebSocket, multi-step workflows, and live events.

Key Features

  • ✓TypeScript-First
  • ✓Real-Time WebSocket
  • ✓Multi-Step Workflows
  • ✓Memory & Context
  • ✓Live Events

WebSocket Connection

Instant responses via automatic reconnection and message queueing.

Multi-Step Workflows

Chain actions, query data, and execute custom tools.

Live Events

Stream progress updates back to the UI in real-time.

Read the full documentation →
Web SDK Integration
import { Calljmp, MessageType } from '@calljmp/web';

const client = new Calljmp({ projectId: 'your-project-id' });
const agent = client.agents.agent('lkp_your_copilot_key');

// Send a message
await agent.send({
  type: MessageType.Call,
  payload: {
    requestId: crypto.randomUUID(),
    input: { message: 'Hello copilot!' },
  },
});

// Handle responses
agent.onMessage = async message => {
  if (message.type === MessageType.Response) {
    console.log('Response:', message.payload.output);
  }
};

Ready to scale your copilot across your organization?

Learn how to deploy support, marketing, and finance agents on the same backend.

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Everything you need to know about building with product copilots

Business and technical answers in one place.