Pricing Comparison Table (November 2025)
| Platform | Free Tier | Starter | Pro | Enterprise | Best For |
|---|---|---|---|---|---|
| Draft'n Run | âś… 1,000 runs/mo | $49/mo | $199/mo | Custom | AI-first teams |
| n8n | âś… Self-host | $20/mo | $50/mo | $120+/mo | General automation |
| AirOps | ❌ No | $199/mo | $499/mo | Custom | Content teams |
| Make | âś… 1,000 ops | $9/mo | $29/mo | Custom | Simple workflows |
| Zapier | âś… 100 tasks | $29/mo | $73/mo | $600+/mo | Business users |
| Unbody | âś… Open source | $99/mo | $299/mo | Custom | Developers |
| LlamaIndex | âś… Open source | $200/mo cloud | $500/mo | Custom | RAG pipelines |
If you’re choosing an AI workflow builder in 2025, you’ll meet these common options. Here’s the pragmatic breakdown and when to pick Draft’n run instead.
Quick verdict
- AirOps: strong for content/SEO teams; limited beyond marketing.
- Unbody: promising open source stack, still young; API‑first.
- LlamaIndex (Workflows): powerful for data-centric RAG; requires coding.
- Baselit: excellent Snowflake cost automation; not a general workflow tool.
- Draft’n run: unified, open source, visual builder + observability; production‑ready.
Explore Draft’n run’s pages: AI workflow builder, Agentic AI, Integration, Case studies, Pricing, or request a demo.
Comparison at a glance
- Interface: Draft’n run provides a clean visual builder for complex flows (branches, loops, parallelism). LlamaIndex offers code‑first workflows; AirOps focuses on content templates; Baselit is a FinOps dashboard.
- Observability: Draft’n run has end‑to‑end traces, token/costs, alerts—by default. AirOps is basic. LlamaIndex has callbacks/LlamaTrace but setup is on you.
- Openness: Draft’n run and Unbody are open source (self‑host or managed). AirOps/Baselit are closed SaaS.
- Coverage: Draft’n run spans design → test → deploy → monitor. Others cover parts of the journey.
When AirOps makes sense
AirOps is excellent for marketing operations: content pipelines, SEO refresh at scale, and CMS publishing. If your scope is purely editorial and you want no‑code templates, it’s a fit. For broader automation, observability depth, or enterprise governance, you’ll likely outgrow it.
- External site: AirOps
- Draft’n run alternative: build editorial flows in the AI workflow builder with richer tracing and role‑based governance.
When Unbody makes sense
Unbody bundles knowledge backend + vector search + agent APIs in a modular open source stack. Great for dev teams who prefer API/SDK control and headless integration. Expect hands‑on setup and a younger ecosystem.
- External site: Unbody
- Draft’n run alternative: keep your infra and connect it via Integration, while using Draft’n run’s studio, observability, and deployment.
When LlamaIndex Workflows make sense
If you’re already coding RAG systems and want fine‑grained control (indexes, retrievers, tools), LlamaIndex is battle‑tested. You’ll assemble ingestion, tracing, and deployment yourself—or via LlamaCloud.
- External site: LlamaIndex
- Draft’n run alternative: use LlamaIndex inside Draft’n run as a tool, and get visual orchestration + built‑in tracing and APIs.
When Baselit makes sense
Use Baselit if your goal is Snowflake cost optimization with autonomous agents. It’s great at that—and not meant for general AI workflows.
- External site: Baselit
- Draft’n run alternative: for general automation, Draft’n run covers chatbots, document flows, and data processes with observability.
Why teams standardize on Draft’n run
- Open source + SaaS: choose self‑host or managed.
- Production by default: versioning, testing, RBAC, API deployment in one place.
- Observability built‑in: traces, costs, alerts—no third tool required.
- Extensible: call web/APIs/DBs; reuse LangChain tools; plug your models.
See it in action on the demo, and skim real results in the case studies.
