Calljmp

What kind of apps can I build with Calljmp?

AI chatbots and assistants, Voice translators and speech-driven apps, Image captioning or creative apps, Semantic search and RAG apps, Multi-step agent workflows (e.g., summarize → store → notify)

What are AI Agents in Calljmp?

AI Agents in Calljmp are multi-step, intelligent entities that you define as TypeScript code. They can perform complex tasks like data retrieval, processing, decision-making, and integrations with custom tools, all orchestrated seamlessly on our edge-native platform. Agents leverage advanced features such as AutoRAG for optimized retrieval-augmented generation, personalization, anomaly detection, and workflow orchestration, enabling autonomous behavior in your apps.

How do I build and deploy AI Agents with Calljmp?

Building AI Agents is straightforward with Calljmp’s zero-config approach: Define your agent logic in TypeScript, including steps, tools, and prompts., Use the CLI to deploy the agent., Integrate into your React Native or Web app using the Web SDK or REST API., Leverage the dashboard for agent building, monitoring, and observability.

What are AI Workflows in Calljmp?

AI Workflows allow you to orchestrate sequences of AI primitives, enhancements, and custom tools as reusable TypeScript-defined pipelines. They support multi-step processes like chaining text generation with semantic search or image processing with notifications. Workflows come with built-in agent state persistence and storage, ensuring reliable execution across mobile and web apps.

How do I integrate AI Workflows into my app?

Integration is plug-and-play with our SDKs: Install the Web SDK or React Native SDK to invoke workflows., Define workflows in TypeScript and deploy via CLI., Monitor and edit workflows in the dashboard workflow orchestration views., Invoke workflows via REST API or SDK from your applications. This enables zero-config experiences, with secure app attestation and usage tracking built-in.

What are some examples of AI Agents and Workflows in Calljmp?

Calljmp empowers developers to create versatile AI-driven solutions: A content moderation agent that analyzes text/images, detects anomalies, and notifies via webhooks., A personalized recommendation workflow: Embed user data, perform semantic search, generate suggestions, and store results., An e-commerce assistant agent: Handle queries with RAG, invoke custom tools for inventory checks, and orchestrate payments., A health monitoring workflow: Process voice input, analyze sentiment, detect anomalies, and trigger alerts. All built as TypeScript code, deployable instantly, and integrable via RE

How do Custom Tools work with AI Agents and Workflows?

Custom Tools are developer-defined TypeScript functions. They can be invoked within agents or workflows for custom logic, such as API integrations, data transformations, or external service calls. Deploy via CLI, monitor in the dashboard, and use securely with attestation for agent-specific access.

How do I use my own data with AI Agents (RAG)?

Calljmp Datasets enable Retrieval-Augmented Generation (RAG) by letting you upload documents that agents can search and reference. Upload PDFs through the dashboard, and documents are automatically processed and indexed for semantic search. Upload documents to your project via the Datasets page in the dashboard., Connect datasets to specific agents through Agent Settings (agents have no dataset access by default for security)., Use the datasets tool in your agent code to query documents with natural language., Agents automatically retrieve relevant passages and use them to generate accurate, g