Introducing AI Missions: An API Built for Agents

Most APIs are built for developers. AI Missions is built for agents.

Your Voice AI Agent already knows how to make phone calls. But when the task isn't one call but ten, your agent needs a way to track state, coordinate execution, and persist progress across retries.

AI Missions is that layer. It's a task tracking and orchestration API that your agent calls directly. You install the Toolkit, give your agent a goal, and it handles the rest.

What Changes

Traditional voice AI workflows put the developer in the middle. You write code to manage state, handle retries, parse results, and coordinate multi-step execution. The agent makes calls; you build the glue.

AI Missions inverts that. Your agent calls the API to:

• Create missions — Define goals like "find the cheapest contractor" or "book a dinner reservation"
• Track execution step by step — Log every action as events, maintain a complete audit trail
• Deploy voice and SMS agents — Create assistants with custom instructions, assign numbers, schedule calls
• Extract structured insights — Pull quotes, availability, sentiment from completed calls using customizable templates
• Persist state — Mission state survives restarts, enabling long-running tasks with automatic recovery

You're not writing integration code. You're setting up an agent and pointing it at the right tools.

How It Works

AI Missions is a Bring Your Own Agent (BYOA) framework.

1. Set up your agent — Clawdbot or any compatible agent
2. Install the Telnyx Toolkit — clawhub.ai/dotcom-squad/telnyx-toolkit
3. Give your agent a goal — "Call these 5 contractors and find the best price"
4. Your agent runs the mission — It calls the Missions API to create the mission, log steps, extract insights, and persist state

The Toolkit includes a detailed SKILL.md that teaches your agent how to use the API, multi-call workflows, IVR navigation, insight extraction, error recovery. Your agent reads the instructions and executes.

What This Looks Like

You tell your agent: "Find me a table for 4 this Friday at 7pm."

Your agent:

1. Calls the Missions API to create a new mission
2. Identifies target restaurants and creates a plan
3. Makes outbound calls, logging each as a step
4. Navigates IVRs, handles voicemail, talks to hosts
5. Extracts availability from each conversation
6. Persists state — if a call fails, it retries without losing progress
7. Returns structured results when complete

You didn't write the orchestration logic. Your agent did, using the API.

Built on the AI-Native Network

Your agent's calls run on Telnyx infrastructure. We own the carrier network, the telephony stack, and the edge compute. That means:

• Ultra-low-latency voice — consistent across concurrent calls
• HD voice quality — no degradation under load
• Global reach — same performance whether calling Chicago or São Paulo
• Full observability — conversation history, insights, audit trail in Mission Control.

The API tracks state. The network handles voice. Your agent coordinates everything.

Use Cases

Parallel outreach — Call multiple vendors simultaneously, compare results, act on the best option.

Sequential negotiation — Use information from call 1 in call 5. "I got $500 from another contractor — can you beat that?"

Appointment booking — Check availability across providers, book the first match.

IVR navigation and data extraction — Navigate phone trees, extract structured data from messy conversations.

Surveys and research — Conduct outbound surveys with structured insight capture.

Get Started with AI Missions

AI Missions is available now in Mission Control under AI, Storage and Compute > AI Missions.

1. Set up your agent
2. Install the Telnyx Toolkit
3. Give it a mission

Your agent already knows how to talk. Now it knows how to coordinate.

Ready to let your agent run? Open Mission Control →