Launch an embedded product copilot
Lives inside your app, uses your real data, and runs on a managed agentic backend.
Connect tools & data
Expose your existing APIs, DB queries, and services as tools.
Define the copilot in TypeScript
Model the agent's behavior, tools, and guardrails as TypeScript code.
Embed in your product UI
Call the copilot via SDK / HTTP and render it in your app panel.
Turn copilot project into a foundation for AI across your organization
Later, run support, marketing, and finance agents on the same backend - reusing tools, memory, and evals
Where Calljmp sits in your architecture
See how Calljmp integrates into your existing system and what responsibilities each side owns.
You own
- Product UI & UX
- Business logic, APIs, database
- Data models & permissions
Calljmp owns
- Agent execution & scaling
- State, retries, timeouts, HITL
- Traces, logs, metrics, cost tracking
- Keep your backend clean
- Your app backend stays focused on product logic, not LLM plumbing and long-running jobs.
- Offload agent complexity
- Calljmp handles agent execution, state, retries, timeouts, and HITL on a managed backend.
- Connect all your systems
- Agents call your vetted APIs, databases, and services as tools through a single agentic backend.
Evaluation for devs and ops, built into the runtime
Test, monitor, and improve your agents with built-in evaluation tools. Ship changes with confidence and keep quality under control.
For developers
Ship changes with confidence
- See every step of an agent run with inputs, tools, and outputs
- Text new prompts, tools, or models, and see how they perform
- Debug failures with detailed traces
For ops & product
Keep quality and risk under control
- Track regressions over time on critical metrics
- Compare models and prompt versions on the same eval sets
- Get a clear audit trail of why an agent responded the way it did
Capture real traces
Log every agent run step-by-step
Turn traces into evals
Create reusable test sets from production data
Test before you ship
Validate changes against saved evals.
Build faster with Calljmp's agentic primitives
Calljmp gives you the core building blocks for production AI agents — without forcing you into a visual builder or a custom backend. Compose these primitives in TypeScript and let the runtime handle the heavy lifting.
Runtime & workflows
Long-running, stateful runs
Memory & context
Summaries and long-term state
Tools & connectors
APIs, DB, services as tools
Human-in-the-loop
Approvals and reviews
Observability
Traces, logs, costs
Run agents as one unified backend
Develop, deploy, and manage your agentic logic in a single, consistent environment. Calljmp handles the infrastructure, scaling, and orchestration of complex workflows, ensuring reliability and performance without the operational overhead.
Give your agents better context
Empower your agents with comprehensive and relevant information. Calljmp provides a flexible system for ingesting, indexing, and retrieving data from various sources, ensuring your AI models have the context they need for accurate and helpful responses.
Your future agentic infrastructure on one backend
Multiple agents, one runtime: Product, support, marketing, and finance agents share the same execution, state, and observability layer.
Shared tools and data access: Each agent calls the same vetted tools to reach CRMs, billing, data warehouse, ticketing, and more.
Central governance & evaluation: One place to monitor behavior, run evals, and roll out changes across all agents.
Why not just your backend or a visual builder?
Most teams either bolt agents onto their existing backend or try a visual builder. Calljmp gives you a dedicated, code-native agentic backend next to your app backend.
DIY in inside your main backend
- Long-running jobs and pauses are painful
- LLM plumbing mixed with normal business logic
- Scaling, timeouts, queues – all your problem
Calljmp: code-native agentic backend
- Agents as TypeScript in your repo
- Dedicated runtime for long-running, stateful agents with HITL
- Clean tools to call your APIs, DB, services
- Traces, logs, and costs in one place
Visual builders / agent studios
- Good for simple prototypes
- Hard to express complex logic and edge cases
- Limited version control, testing, and deep integration
Build, run, and scale faster with edge-native orchestration
Build AI agents and workflows as code directly in TypeScript, deploy them instantly to the Cloudflare Edge, and connect to your data sources with zero configuration.
Memory
Persistent and queryable context, shared across agents. Durable storage with zero cold starts.
Knowledge
Attach domain data to any agent using built-in vector and hybrid search. Works with your own documents, APIs, or databases.
Reasoning
Design complex multi-step logic as code, with observability at every phase. View traces, logs, and outputs directly from the Calljmp dashboard.
Human in the loop
Integrate approvals, manual feedback, and reviews into any agent flow. Seamlessly combine automation and oversight without extra infrastructure.
Trusted by developers
Accelerate AI-enabled app development with TypeScript - defined agents and workflows.
Simple, transparent pricing
Flexible pricing for AI agents and workflows as code. Start free, scale with predictable costs.
Agent actions
Agent run, dataset query, web fetch and extract
Price
$0.01
Included
Solo: 1,000/month · Pro: 10,000/month
LLM tokens
AI model inference per 1k tokens
Price
$0.011
Included
Pay-as-you-go
Dataset segments
Pages, sheets, or documents indexed
Price
$0.05
Included
Pay-as-you-go
Workflow phases
Multi-step workflow executions
Price
Free
Included
Unlimited
From our blog
Insights, tutorials, and stories from the world of AI agents and workflows as code. Learn how to build better apps with less complexity.
Your future agentic infrastructure
Run support, marketing, and finance agents on the same backend - reusing tools, memory, and evals
Frequently asked questions
Find answers to common questions about Calljmp's features, pricing, and capabilities.


