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Stop building your agent.
Start deploying it.
Agent frameworks are powerful but demand engineering. Visual builders automate workflows but don’t learn. Outrun gives you ready-to-deploy AI agents with built-in data sync, human review, and correction memory.
The problem
Every platform makes you build the agent
Agent Frameworks
LangChain, CrewAI, AutoGen, Semantic Kernel. Powerful but technical. You pick a framework, read the docs, write prompts, define tools, wire up deployment, and then babysit it.
- + Full control over everything
- + Multi-model, highly extensible
- − Days to weeks to deploy
- − Data integration is DIY
- − No built-in learning from feedback
Visual Builders
Zapier, Make, n8n. Easier to use, but fundamentally workflow engines dressed up as agents. Most lock you into one model provider. No learning, no routing.
- + Lower barrier to entry
- + Large integration catalog
- − No agent memory or learning
- − No multi-agent routing
- − Still requires manual setup per workflow
Outrun
Connect your data source, pick an agent template, answer a few questions, and your agent is live. It learns from your corrections, routes to specialists, and you stay in control.
- + Deploy in minutes, not days
- + Built-in data sync across tools
- + Correction memory — agents learn
- + Multi-agent routing built-in
- + Visual builder when you need full control
Side by side
Feature comparison
| Agent Frameworks | Visual Builders | Outrun | |
|---|---|---|---|
| Getting Started | |||
| Time to first agent | Days to weeks | Hours | Minutes |
| Code required | Extensive (Python/JS) | Some (configs, scripts) | None |
| Pre-built agent templates | — | Workflow templates only | 15+ agent templates |
| Data & Integration | |||
| CRM data sync | Build it yourself | Per-zap, one direction | Bidirectional, automatic |
| Field mapping | Manual | Manual per workflow | Auto-discovered, auto-mapped |
| Data standardisation | — | — | Unified schema across all sources |
| Knowledge bases | Build RAG pipeline | — | Built-in, auto-ingested from sources |
| AI Capabilities | |||
| Multi-agent routing | Build it yourself | — | Built-in triage & handoff |
| Human-in-the-loop review | Build it yourself | Limited | Built-in with email approval |
| Correction memory | Manual prompt editing | — | Automatic few-shot retrieval |
| AI tool use | Define tool schemas | Fixed action steps | Dynamic, context-aware |
| Model flexibility | Any model | Usually one provider | Gemini + Claude (fast & premium) |
| Operations | |||
| Deployment | Self-hosted / cloud | SaaS | Managed SaaS + data residency |
| Audit trail | Build it yourself | Basic logs | Full run history, every decision logged |
| Data isolation | Your responsibility | Shared tables | Dedicated database per workspace |
| Advanced customisation | Full control | Limited | Visual builder + code nodes |
Use cases
Who Outrun is for
Solo founders & small teams
You want AI agents that just work. You don’t want to pick a framework, tune prompts, define tool schemas, or wire up deployment. You want to connect your CRM, describe what you need, and have an agent running in minutes.
Ops & revenue teams
You need AI automation across your CRM, email, and support tools without building a custom integration layer. You want agents that qualify leads, triage email, and route conversations to the right people.
Technical founders who want depth
You could build this yourself but you’d rather not spend months on integration plumbing. Start with templates, then drop into the visual workflow builder or code nodes when you need full control.
Enterprises with compliance needs
You need data isolation, audit trails, and regional data residency. You want AI agents that act within governance boundaries with full traceability of every decision.
What you get
The gap Outrun fills
Data sync you don’t have to build
Connect HubSpot, Pipedrive, Zoho, or Zendesk with one OAuth click. Outrun auto-discovers fields, maps them to a standard schema, and keeps everything in sync. Your agents have access to clean, current data from day one.
Agents that improve without retraining
When you correct an agent, the correction is stored and retrieved as a few-shot example for similar future situations. No prompt engineering, no redeployment. The agent just handles it better next time.
Human review built into the workflow
Agents pause before taking consequential actions. You review, approve, or edit via email or the dashboard. Your corrections feed back into the agent’s memory. Over time, it needs less oversight.
Full control when you want it
Start with a template. When you need custom logic, open the visual workflow builder. Need even more control? Add code nodes that run in isolated containers. The escape hatch is always there.
Ready to skip the building?
Connect your tools, pick an agent, and it’s live. Free to start — no code, no credit card.
No credit card required
