Platform · Agents

It doesn't just answer. It finishes.

Most AI answers questions. Ours completes tasks: books the meeting, moves the money, closes the ticket, updates the CRM, then remembers it did.

Put one to workBook a demo
Real tool callsMemory that lastsBring your own LLM
The difference

A chatbot describes actions. An agent takes them.

The gap between the two is not more intelligence. It's authority: the tools, the memory, and the permission to act. That's what we ship.

What each one does when you ask
ScenarioA chatbotAn AI Now agent
Ask it to rescheduleExplains the processReschedules it
Ask about your orderReads back what you told itReads your order table
When the call endsForgets everythingRemembers what mattered

Every agent ships with the tools, memory, and authority to act, day one. No prompt gymnastics.

The engine

Three things every serious agent needs.

Skip any of these and you've built a demo. Ship all three and you've built an employee.

01Real tool calling

It calls your APIs like your engineers do.

Wire up any endpoint (CRM lookups, payment refunds, calendar bookings, ticket updates) as a tool the agent can use. Type-safe, parallel-executed, and retried on failure. Not “we integrate with Zapier.” Direct calls, with your auth, in the same turn.

  • Type-safe function definitions from your OpenAPI spec
  • Parallel tool execution: books the meeting and updates the CRM in one turn
  • Automatic retries with exponential backoff
  • Full audit trail: every call, every argument, every response
02Memory that persists

Not just this conversation. Every conversation.

Persistent memory across sessions, weeks, and channels. A caller who spoke to your voice agent on Tuesday is recognised by your chat agent on Friday. Context stays with the person, not the session.

  • Per-customer memory that survives call, chat, and avatar sessions
  • Configurable retention: hours, days, or forever
  • PII masking and GDPR-compliant forgetting
  • Selective memory: decide what the agent should keep
03Bring your own LLM

Any model. No lock-in.

Use GPT-4, Claude, Gemini, Mistral, Llama, or a model you trained. Swap models per agent, per task, or per turn. Automatic failover when a provider slows down. We orchestrate the pipeline; you own the intelligence.

  • 200+ model integrations, plus BYO endpoints
  • Per-turn model routing: cheap models for classification, powerful ones for reasoning
  • Automatic failover when latency exceeds threshold
  • Model A/B testing built in

Tools. Memory. Any model. The three things that turn a chatbot into a colleague.

Get started

Put one to work.

Book a 20-minute call, bring a real task, and we'll build the agent live: tools, memory, and all. Or open the studio and build one yourself.

Self-serveOpen the studio
  • Free tier
  • No card
  • Yours to keep
GuidedBook a demo
  • 20 min
  • Bring a real task
  • We'll build it live

Not sure which? Book the demo. We'll show you the studio on the call.