Vellum

Product Introduction

1. Definition: Vellum is a no-code AI agent development platform that transforms natural language task descriptions into executable automation workflows. Technically categorized under AI orchestration tools, it enables users to build, deploy, and monitor AI agents without programming.
2. Core Value Proposition: Vellum eliminates technical barriers to AI automation, allowing users to create custom agents that handle repetitive operational tasks via plain English instructions. Its primary keywords include "no-code AI agents," "workflow automation," and "AI orchestration."

Main Features

1. Natural Language Agent Builder: Describe tasks in English (e.g., "Pull data from Salesforce, detect usage declines, flag risks"). Vellum’s compiler interprets instructions, maps dependencies, and auto-generates agents using LLMs (like GPT-4 or Claude 3) and prebuilt connectors for 1,000+ tools (Notion, Slack, HubSpot).
2. Multi-Trigger Deployment: Run agents on fixed schedules (e.g., daily at 9 AM), via API calls, or through a built-in UI. Uses cron-like scheduling and webhook integrations for real-time event responses.
3. Transparent Workflow Debugging: View step-by-step execution logs, timing metrics, and intermediate outputs (e.g., "Scraped 5 articles via Firecrawl in 2.1s"). Agents generate reusable Python code for local testing.

Problems Solved

1. Pain Point: Manual, repetitive operations (e.g., data aggregation, compliance checks) that consume 20–30 hours/week. Keywords: "operational bottlenecks," "task automation," "workflow inefficiency."
2. Target Audience:
   • Product Managers: Automate roadmap alignment using Linear/Notion data.
   • Marketing Teams: Generate SEO content from keyword sheets.
   • Finance Teams: Detect Stripe transaction fraud or compile portfolio reports.
   • Legal Teams: Review contracts/NDAs for compliance gaps.
3. Use Cases:
   • Churn prediction by analyzing PostHog/Salesforce data.
   • Auto-generating investor slides from PDF performance data.
   • Escalating urgent support tickets to Slack/Linear.

Unique Advantages

1. Differentiation: Unlike Zapier (rule-based) or LangChain (code-heavy), Vellum handles complex multi-step logic (e.g., "Research → Analyze → Generate → Notify") via natural language. Competitors require predefined templates; Vellum builds agents from scratch.
2. Key Innovation: Patented "prompt-to-workflow" engine that decomposes tasks into executable nodes (data extraction, LLM analysis, tool actions) with automatic error handling.

Frequently Asked Questions (FAQ)

1. How does Vellum ensure data security during integrations? All connections use OAuth 2.0 and end-to-end encryption; data isn’t stored post-execution.
2. Can I modify agents after deployment? Yes—edit the English description to recompile workflows instantly without breaking dependencies.
3. What LLMs support Vellum agents? GPT-4, Claude 3, and open-source models (Llama 3, Mistral), with automatic fallback during outages.
4. Is coding needed for custom API integrations? No—describe endpoints in English (e.g., "Fetch data from {{My-Custom-Tool}} via POST request").
5. How much does Vellum cost for high-volume tasks? Usage-based pricing: free for prototyping, paid tiers scale with agent runs/LLM tokens (no per-agent fees).