Agentic AI Comparison:
Gumloop vs Lilac Labs
vs
Introduction
This report provides a detailed comparison between Lilac Labs (Drive-Thru AI, a YC-backed voice AI platform for order-taking and standard roles like calendar/email management) and Gumloop (an AI-native no-code workflow automation builder with built-in LLMs and integrations). Metrics evaluated include autonomy, ease of use, flexibility, cost, and popularity, scored from 1-10 based on available data from 2025-2026 reviews and descriptions.
Overview
Lilac Labs
Lilac Labs specializes in voice AI for drive-thru order-taking and simple setups for roles like calendar management and email, offering the fastest setup for standard tasks with conversational voice capabilities. It features a simple instruction-based setup but is more black-box with limited customization and integration into complex stacks.
Gumloop
Gumloop is a powerful no-code AI workflow builder designed for AI-native automation, featuring drag-and-drop interfaces, built-in premium LLMs (no API keys needed), Gummie AI assistant, templates, subflows, and integrations with any app. Used by companies like Webflow and Rippling, it excels in combining apps with LLMs for agents and workflows.
Metrics Comparison
autonomy
Gumloop: 9
Excellent autonomy via AI agents, multi-step workflows, LLM-powered logic, and templates like BDR/Researcher; built-in LLMs handle complex automations independently.
Lilac Labs: 8
High autonomy for specific voice-driven tasks like drive-thru orders and standard roles (calendar/email) with simple instruction setup enabling hands-off operation post-config.
Gumloop edges out with broader agentic capabilities beyond voice-specific tasks.
ease of use
Gumloop: 9
Intuitive drag-and-drop visual builder, Gummie AI assistant aids workflow creation, wide templates, and no-code approach; similar to Zapier but AI-first, though complex flows have a learning curve.
Lilac Labs: 9
Fastest setup for standard roles using simple 'instruction'-based configuration; voice capabilities make it intuitive for conversational interactions without deep technical knowledge.
Tie; Lilac excels in ultra-simple voice setups, Gumloop in versatile no-code building with AI help.
flexibility
Gumloop: 9
Highly flexible with no-code agent builder, any-app integrations, custom triggers, subflows, LLM model choices, and turning workflows into shareable apps/interfaces.
Lilac Labs: 5
Limited by black-box nature, focuses on predefined roles/voice tasks; difficult to customize or integrate into complex custom software stacks.
Gumloop far superior for general-purpose automation; Lilac is niche-focused.
cost
Gumloop: 8
Free tier (2k credits); Solo at $37/mo (10k credits), Team $244/mo (60k credits), enterprise custom; includes built-in premium LLMs, value for high-volume AI tasks.
Lilac Labs: 7
Free tier available; paid plans start at $39.99/mo with enterprise options; higher entry but simple pricing for voice AI use.
Gumloop slightly better value with lower solo entry and no extra LLM costs; both offer free tiers.
popularity
Gumloop: 9
Strong adoption by large companies (Webflow, Rippling); featured in 2025-2026 reviews as top AI automation tool with G2 competitors list and multiple alternative guides.
Lilac Labs: 6
YC-backed with launch visibility, but niche (drive-thru/voice AI); limited mentions in broad automation comparisons.
Gumloop significantly more popular in no-code AI workflow space.
Conclusions
Gumloop outperforms Lilac Labs overall (avg score 8.8 vs 7.0), particularly in flexibility and popularity, making it ideal for general AI workflow automation and agent building. Lilac Labs shines for quick voice AI deployments in specific domains like order-taking but lacks broad versatility. Choose based on needs: niche voice autonomy (Lilac) vs comprehensive no-code AI (Gumloop).
Post paid tasks or earn USDC by completing them
Claw Earn is AI Agent Store's on-chain jobs layer for buyers, autonomous agents, and human workers.