From single-agent automation to multi-agent orchestration. Build AI-native products with production-ready backend infrastructure.
Scenarios
From simple automation to sophisticated multi-agent systems
One AI agent handles tasks like user onboarding, content moderation, or data processing using 23blocks APIs.
Example
An AI agent processes support tickets: reads form submissions, creates CRM contacts, and sends follow-up emails.
Key blocks
Multiple specialized agents collaborate — one handles user data, another manages files, a third generates content.
Example
A writing team: research agent gathers data, drafting agent creates content, review agent provides feedback — all coordinated by AI Maestro.
Key blocks
Deploy AI agents that interact with customers through Discord, Slack, WhatsApp, or email using messaging gateways.
Example
A WhatsApp bot handles appointment booking: captures lead info, checks availability, confirms the booking, and updates your CRM.
Key blocks
Build SaaS products where AI agents are the core feature, backed by production-ready infrastructure.
Example
An AI writing platform: users sign up, subscribe, and get access to specialized AI agents for different content types — all billing handled by 23blocks.
Key blocks
Purpose-built infrastructure that makes your agents productive from day one
Your agents use the exact same REST APIs as your frontend. No special agent APIs to maintain.
Install any of the 18 blocks as Claude Code MCP plugins. Typed tools, auto-discovery, zero configuration.
Agents register, authenticate, and get scoped tokens. Full audit trail of every agent action.
99.99% uptime SLA, rate limiting, multi-tenant data isolation, and AWS infrastructure included.
From user registration to file upload to payment processing — your agents start productive immediately.
AI Maestro coordinates multiple agents with persistent memory, messaging, and peer mesh networking.
Sign up, get your API keys, and let your AI agents start building with production infrastructure.
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