Editorial take
Why it stands out
Vellum should be framed as a workflow and agent engineering platform, not as just a prompt UI.
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Tool profile
AI workflow and agent engineering platform for prompt design, evaluations, retrieval, deployments, and hosted agent operations with explicit credit-based plans.
AI workflow engineering
Vellum belongs in the database because it sits at a very practical layer of the AI stack: helping teams move from prompt experiments into managed workflows, evaluations, deployments, and production agent operations. The official pricing and product surfaces position Vellum around orchestration, evaluations, retrieval, deployment, and observability, which makes it much more than a prompt playground. It is aimed at teams building agents they actually depend on.
It also deserves inclusion because the pricing is unusually clear for this category. The current official page shows Free at $0 monthly, Pro at $25 monthly, Business at $50 monthly, and Enterprise as custom pricing, with concrete credits, concurrency, and retention limits published directly on the page. That level of clarity makes Vellum easier to compare seriously than many newer AI workflow platforms.
Quick fit
Editorial take
Vellum should be framed as a workflow and agent engineering platform, not as just a prompt UI.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
Vellum currently offers Free at $0/month, Pro at $25/month, Business at $50/month, and Enterprise as custom pricing. The official page also publishes credits, concurrent runs, and data-retention limits.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
