The 10 best Gumloop alternatives in 2026 for AI workflow automation, compared on features, ease of use, and pricing.
Looking for an alternative to Gumloop?
If you're reading this, you already know that AI can save your team serious time. You're not just curious about automation anymore. You're ready to put it to work.
AI automation and agent-building tools have gone from experimental to essential. In 2026, we're well past simple trigger-action workflows. This is the era of agentic systems where AI can reason, plan, and execute multi-step tasks across your entire tech stack.
Gumloop is one of the hottest players in this space. The platform closed a $50M Series B led by Benchmark (with participation from Shopify Ventures, First Round Capital, Y Combinator, Nexus Venture Partners, and others), bringing total funding to $70M. Gumloop lets teams build AI agents and automations using a visual, no-code workflow designer, and it's used by companies like Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor.
But if you're looking for alternatives, you've likely run into one of these friction points:
The learning curve is steeper than expected, especially for non-technical team members.
It's missing key integrations you need for your specific workflows.
The credit-based pricing gets expensive fast, particularly with AI-heavy workflows.
You want more human-in-the-loop controls to review what your AI agents are doing before actions are taken.
Whether you're after a simpler interface, broader integrations, better governance features, or a more predictable pricing model, you've come to the right place.
TL;DR
Here's a quick overview of our picks at a glance. Of all the Gumloop alternatives we've tested, these are the 10 we'd actually recommend in 2026:
Relay.app: The easiest way to build reliable AI workflows, with intuitive chat-based building, built-in AI models, and best-in-class human-in-the-loop controls.
Zapier: The widest integration library (8,000+ apps) with AI agents, chatbots, and MCP support
Make: A powerful visual canvas for power users who want granular control over complex automations
Stack AI: Enterprise-focused with HIPAA, SOC 2, ISO 27001, and on-prem deployment for regulated industries.
n8n: Open-source and self-hostable, with code flexibility and execution-based pricing for technical teams.
Relevance AI: Purpose-built for sales and GTM teams, with multi-agent workforces for prospecting and pipeline management.
OpenClaw: A free, open-source personal AI assistant that runs on your own machine and connects via WhatsApp, Telegram, and other chat apps.
Claude Cowork: Anthropic's desktop AI agent for delegating multi-step knowledge work on your local files.
Manus: A general-purpose autonomous agent (now part of Meta) for one-off creative and research tasks.
Tray: Enterprise AI orchestration with pre-built agent accelerators and governance for IT teams.
What is Gumloop?
Gumloop is a no-code AI automation and agent platform designed to help teams build, deploy, and manage AI agents without writing code. Founded in mid-2023 and backed by Y Combinator, Gumloop raised a $50M Series B led by Benchmark in March 2026, bringing total funding to $70M and cementing its place as a serious force in the AI-native automation market.
The platform uses a visual, node-based workflow builder where you drag and drop triggers, logic steps, integrations, and AI actions onto a canvas. What sets Gumloop apart from traditional automation tools is that every node can contain AI logic. You can analyze text, make decisions, and transform data within a workflow without wiring external API calls. Gumloop is also model-agnostic, letting you pick the best AI model for each task (OpenAI, Anthropic, Gemini, DeepSeek, and more) under a single subscription with no per-model fees.
Gumloop has evolved well beyond simple workflow automation. The platform now includes:
Gumloop Agents — proactive AI agents that anyone at a company can build and deploy natively across Slack, Teams, and email
Gummie — a meta-agent that generates workflows from natural language descriptions
Gumstack — a dedicated security platform for monitoring and controlling data use across your organization's AI tools (including ChatGPT, Claude, and Cursor)
Skills — custom plug-ins that extend an agent's capabilities for specific tasks like ticket severity ranking, SQL queries, and more
It's trusted by teams at Shopify, Ramp, Gusto, Samsara, Instacart, and Opendoor, and is compliant with SOC 2 Type II and GDPR.
Key features of Gumloop
Here's a quick look at where Gumloop shines:
Visual, node-based workflow builder with 115+ pre-built blocks for drag-and-drop automation
AI-native nodes for text generation, data extraction, summarization, classification, and intelligent routing
Model-agnostic architecture with support for multiple AI providers within the same workflow and no per-model fees
Built-in AI credits so you don't need to bring your own API keys on the free tier
Parallel execution of sub-workflows for faster processing
Gumloop Agents that deploy natively to Slack, Teams, and email
Gumstack for enterprise-grade security monitoring and AI data governance across your org
Chrome extension for browser-based data capture and automation
Skills system for extending agents with custom plug-ins and capabilities
Now that you know what Gumloop brings to the table, let's look at what you should prioritize when evaluating an alternative.
What to look for in a Gumloop alternative
If you're seeking a Gumloop alternative, you may already have a specific frustration in mind. Maybe you need an easier-to-use experience, better governance controls, or a more predictable pricing model. But if you're new to the market, here's what we think you should consider, and what we used as criteria for the tools we reviewed:
Ease of use: You shouldn't need a technical background to build powerful AI-driven workflows. The best tools in 2026 let you describe what you want in plain language and get started in minutes.
AI capabilities: Table-stakes AI features now include agentic workflows, multi-model support, MCP (Model Context Protocol) compatibility, and multi-step reasoning. Simple prompt-and-response actions aren't enough anymore.
Human-in-the-loop controls: As AI agents take on more autonomous tasks, the ability to review, approve, or reject actions before they execute is critical. Governance and oversight aren't optional. They're a must-have.
Integrations: Seamless connections to your existing tools and platforms. The broader the connector library, the less time you spend on workarounds.
Security and compliance: With enterprise adoption accelerating, certifications like SOC 2, HIPAA, and GDPR, plus features like audit trails, RBAC, and data residency controls, matter more than ever.
Scalability: The platform should grow with your team. You shouldn't need to migrate to a new tool in six months because you've outgrown the free plan or hit a ceiling on concurrent executions.
Pricing transparency: Credit-based and usage-based models can get expensive fast, especially with AI-heavy workflows. Look for clear, predictable pricing that won't surprise you at the end of the month.
Not every tool will check all the boxes, but these criteria provide a solid framework for evaluating your options.
Now, without further ado, let's dive into the list of the best Gumloop alternatives.
The 10 best Gumloop alternatives in 2026
1.
Relay.app
Relay.app is the most intuitive way to automate with AI. Just describe what you want to automate, and Relay.app will build a reliable, visual workflow for you. Relay.app connects with 200+ apps and all the top AI models. Non-technical users who have struggled with less user-friendly tools like Zapier or Make can easily create AI workflows in minutes, while longtime automation experts have all the advanced tools they need to build complex flows.
Product details
Designed to be intuitive to use: Relay.app is thoughtfully designed for individuals and teams of all technical abilities, from novice to expert.
An AI assistant optimized to build workflows for you: Chat with the AI assistant to build, test, and optimize workflows. It will proactively spot issues and make suggestions for you.
Hundreds of native integrations, plus custom API calls: 200+ deeply built, first-class native integrations. Don't see your app on the list? Just describe what you need and Relay.app's AI assistant will write a custom API call for you.
Collaborative building: Share workflows and app connections across your team for seamless multiplayer automation.
Human-in-the-loop oversight: Bring a teammate in when you need real life approvals, data entry, or manual review.
Universal AI credits for any AI model: Access the best models from OpenAI, Anthropic, and more using included AI credits.
Predefined processes for token efficiency: Set up a token-free structure for repeated work and limit AI tool calls to just the places you need them.
Technical power: Advanced users can go further with rich native tables, custom JavaScript steps, MCP servers, and custom HTTP requests.
Pricing
Relay.app's plans scale with your usage and team, starting with a generous free tier. All plans include free test runs that refresh every week so you can make sure everything works perfectly before you start paying.
Free: $0/month for 1 user, 200 steps, and 500 AI credits
Professional: $19/month (billed annually) for 1 user, 750 steps, and 2,000 AI credits
Team: $59/month (billed annually) for up to 10 users, 1,500 steps, and 2,000 AI credits
Enterprise: Custom pricing for organizations with advanced usage or security requirements
2.
Zapier
Zapier is one of the best-known automation tools (the "OG" of no-code workflows) that has significantly expanded its AI capabilities. Traditionally, Zapier connects your apps: "When X happens in app A, do Y in app B." Now, Zapier offers dedicated AI Agents, AI Chatbots, Canvas, and Model Context Protocol (MCP) support. While Zapier isn't an AI-specialized platform like some others, its primary strength is the 9,000+ app integrations it supports. This means you can trigger AI agents based on almost any event (new email, form submission, CRM update, you name it) and then have the AI perform an action or generate content as part of the Zap.
Product details
Massive integration ecosystem: Zapier connects with over 9,000 apps, so your AI agent can interact with nearly any tool your business uses.
Mature product and platform: Zapier has a reputation for dependable execution of workflows, extensive documentation, and a lot of community support.
Extensive template library: Thousands of pre-built Zap templates (including many with AI) can help get you started quickly.
Expanding AI toolkit: Zapier offers dedicated AI Agents, Chatbots, Canvas, and MCP support alongside its core automation platform.
Enterprise-grade governance: Administrators can define strict action restrictions, manage connections, and bring their own AI models (BYOM) securely.
Legacy complexity: Being a long-time champion of the space means they have many years of added features, making it more difficult to evolve quickly compared to modern alternatives.
Pricing
Zapier offers task-based plans for workflow automation alongside separate usage tiers for AI Agents and Chatbots.
Free: $0/month for 100 tasks, two-step Zaps, Tables, Forms, and Zapier MCP
Professional: $19.99/month (billed annually) for multi-step Zaps, unlimited premium apps, and AI fields
Team: $69/month (billed annually) for 25 users, shared Zaps, and SAML SSO
Enterprise: Custom pricing for unlimited users, advanced admin controls, and observability
AI Agents: Free for 400 activities/month or $33.33/month for 1,500 activities
Chatbots: Free for 2 chatbots, $13.33/month for 5 chatbots, or $66.67/month for 20 chatbots
3.
Make
Make is a visual-first no-code automation platform that lets you design complex workflows on a canvas by connecting modules from 3,000+ apps. It supports advanced logic like branching, filtering, iteration, and error handling, making it popular with power users who need more control than simpler tools offer. Make has recently expanded into AI with beta AI Agents, an AI Toolkit, MCP server support, and 400+ AI app integrations including OpenAI, DeepSeek, and Perplexity. Make is well-suited for technical users and teams that need to build sophisticated, multi-step automations with granular control over every step.
Product details
Visual scenario builder: The canvas-based editor lets you see exactly how data flows through your automation, making it great for debugging and complex logic.
Advanced workflow logic: Supports branching, filtering, iteration, and error handling that most simpler tools can't match.
Strong integration library: Connects with 3,000+ apps, with deep action support across most of them.
AI agents and integrations: Connect 350+ AI apps, build and manage AI Agents, and use the Make MCP Server to connect AI from anywhere.
Generous pricing relative to complexity: Make offers more operations per dollar than Zapier, making it attractive for higher-volume automations.
Steep learning curve: Make's power comes at a cost, as non-technical users typically need 10 to 20 hours before feeling comfortable with concepts like routers and iterators.
Pricing
Make offers a free tier for basic needs and paid plans based on monthly credit usage and advanced features.
Free: $0/month for 1,000 credits/month and a no-code visual workflow builder
Core: $12/month for 10,000 credits/month, unlimited active scenarios, and scheduled scenarios
Pro: $21/month for 10,000 credits/month, priority scenario execution, and custom variables
Teams: $38/month for 10,000 credits/month, teams and team roles, and scenario templates
Enterprise: Custom pricing for enterprise app integrations, 24/7 support, and advanced security
4.
Stack AI
Stack AI is an enterprise-focused platform for building and deploying AI agents, recently acquired by Asana to bring human-agent workflows into a single place. It offers a visual workflow builder for creating agentic workflows, over 100 enterprise integrations, and flexible deployment options. The platform is certified for HIPAA, SOC 2 Type II, GDPR, and ISO 27001, making it an ideal fit for regulated industries like healthcare and finance. Stack AI positions itself as an AI transformation platform for IT and enterprise architecture teams, providing dedicated white-glove support from AI experts to help organizations scale their deployments.
Product details
Agentic workflows: Go from a time-consuming process to a working AI agent in minutes.
Flexible deployment: Supports multi-tenant cloud, VPC, and on-premise deployments to meet strict data residency needs.
Enterprise-grade security: Certified for HIPAA, SOC 2 Type II, GDPR, and ISO 27001 to protect sensitive data.
Human in the loop: Integrate human oversight into automated decision points for total process precision.
LLM agnostic: Deploy the best-performing language model for every specific task.
Extensive integrations: Connect AI agents to over 100 enterprise systems to read, write, and execute tasks.
White-glove experience: Receive dedicated support and hands-on guidance from AI experts.
Pricing
Stack AI offers a free tier to get started and a custom enterprise plan for businesses that require advanced security, dedicated infrastructure, and premium support.
Free: $0/month for 500 runs per month, 2 projects, 1 seat, and community support
Enterprise: Custom pricing for custom runs, unlimited projects, dedicated infrastructure, on-prem deployment, and advanced compliance
5.
n8n
n8n is a source-available workflow automation platform designed specifically for technical teams and developers. It bridges the gap between visual workflow editors and custom code, allowing users to seamlessly blend drag-and-drop nodes with custom JavaScript or Python. By offering robust self-hosting capabilities via Docker alongside cloud-hosted options, n8n provides complete control over data privacy and compliance. Its execution-based pricing and advanced debugging tools make it highly scalable for orchestrating complex API integrations, AI-driven workflows, and mission-critical automated processes.
Product details
Code and no-code blend: Write custom JavaScript or Python directly alongside an intuitive visual workflow editor.
Self-hosting capabilities: Deploy on-premises with Docker and access the full source code on GitHub for complete data sovereignty.
Advanced developer tools: Leverage Git version control, isolated environments, global variables, and detailed execution logs.
AI workflow building: Utilize native AI credits and built-in evaluators to safely test and deploy AI-driven automations.
Predictable execution pricing: Pay per full workflow run rather than per individual step to make scaling costs highly predictable.
Granular debugging: Avoid endless debugging clicks by re-running single steps and viewing detailed execution histories.
Complex logic handling: Architect advanced multi-step workflows with deep internal API integrations and robust error handling.
Enterprise security: Maintain full compliance with SSO, external secret stores, and log streaming to security platforms.
Pricing
n8n offers a free self-hosted community edition alongside cloud-hosted and enterprise plans with execution-based pricing.
Community Edition: $0/month for standard, self-hosted deployments via GitHub
Starter: $20/month (billed annually) for 2.5K workflow executions and 50 AI Workflow Builder credits
Pro: $50/month (billed annually) for 10K workflow executions and 150 AI Workflow Builder credits
Business: €667/month (billed annually) for 40K workflow executions, self-hosted deployment, and Git version control
Enterprise: Custom pricing for custom workflow executions, unlimited shared projects, and dedicated support
Start-up Plan: 50% off the Business tier for eligible companies with under 20 employees
6.
Relevance AI
Relevance AI is an enterprise AI workforce platform that enables go-to-market and operations teams to build, deploy, and manage autonomous AI agents. Designed for domain experts, the platform allows users to create custom agents using plain English through its Invent builder. It maps the path from assisted AI copilots to fully self-driving workflows, handling tasks like outbound prospecting, lead qualification, and customer support. With enterprise-grade governance, built-in evaluations, and over 1,000 native integrations, Relevance AI ensures that agents operate safely and effectively at scale.
Product details
Invent builder: Create custom AI agents and tools simply by describing your desired tasks in plain English.
Multi-agent workforces: Deploy teams of specialized agents to handle entire processes like outbound prospecting and inbound qualification end-to-end.
Model routing: Choose the best language model for each task by balancing performance and cost across providers like Anthropic and OpenAI.
Comprehensive evaluations: Set quality thresholds and use built-in evaluation tools to hold your agents to a consistent standard.
Extensive integrations: Connect with over 1,000 native applications out of the box, including HubSpot, Salesforce, Slack, and Gmail.
Enterprise-grade governance: Maintain control with role-based access, single sign-on, audit logs, and automatic PII masking.
Human-in-the-loop: Set approval gates that require human review when an agent is unsure or confidence is low.
MCP support: Build agents programmatically and connect to external tools via the Model Context Protocol.
Pricing
Relevance AI offers a custom plan for companies looking to scale operations with an AI workforce.
Enterprise: Custom pricing for unlimited users, agents, and workforces, including custom actions, agent evaluations, SSO, and a dedicated account manager
7.
OpenClaw
OpenClaw is an open-source personal AI assistant that runs on your own machine and connects to you through your chat apps. It features persistent memory, full system access, browser control, and an extensible skill system that lets it take real actions like sending emails, managing calendars, running shell commands, and monitoring websites. OpenClaw supports Anthropic, OpenAI, and local models, keeping your data private by default. It has a passionate developer community and over 50 integrations, offering both a fully managed cloud subscription and a self-hosted option.
Product details
Runs on your own machine: Keep your data private by default with support for Mac, Windows, Linux, and local AI models.
Works across chat apps: Talk to your assistant via WhatsApp, Telegram, Discord, Slack, Signal, or iMessage.
Persistent memory and context: Remembers your preferences, past conversations, and business context across sessions.
Full system access: Read and write files, run shell commands, execute scripts, and control your web browser.
Extensible with skills and plugins: Use community-built skills, create your own, or let OpenClaw write them for you.
Companion app: Access your assistant directly from the macOS menubar alongside the CLI tool.
Flexible deployment: Choose between a fully managed cloud version or a self-hosted option for complete control.
Pricing
OpenClaw offers a fully managed cloud subscription and a free open-source version for self-hosting.
Self-Hosted (Own Hardware): $0/month for complete data control using your own machine (requires LLM API keys and technical setup)
Self-Hosted (VPS): $5 to $50/month for server costs, plus $20 to $200/month for API usage
OpenClaw Cloud: $59/month ($29.50 for the first month) for a fully managed setup with all API costs included, zero setup, and automatic updates
8.
Claude Cowork
Claude Cowork is an agentic AI assistant built into Anthropic's Claude AI that allows users to delegate complex, multi-step tasks for autonomous execution. Cowork can read documents, extract key points, check calendars, build slide decks, and write summaries from a single prompt. It integrates seamlessly with popular tools like Google Workspace, Slack, Notion, Linear, and Microsoft 365 through robust connectors and remote MCP, while supporting custom Skills to create repeatable workflows.
Product details
Autonomous task execution: Delegate complex tasks like summarizing meetings, building decks, and writing reports.
Growing integration ecosystem: Connects to Google Workspace, Slack, Notion, Linear, Microsoft 365, and more through connectors and remote MCP.
Custom Skills: Create reusable instructions so Claude can repeat tasks consistently without re-prompting.
Cross-platform access: Available on web, desktop, iOS, and Android as part of the Claude experience.
Exclusive to Claude AI: Built into the Anthropic ecosystem as a fully integrated tool relying on its own models.
Pricing
Free: $0/month for chat, web search, code execution, desktop extensions, and connectors (does not include Cowork access)
Pro: $20/month ($17/month billed annually) for Cowork, Claude Code, unlimited projects, Research, and Microsoft 365 integrations
Max: Starting at $100/month for everything in Pro, plus 5x to 20x more usage, higher output limits, and priority access
Team: $25/seat/month ($20/seat billed annually) for standard seats with Cowork, SSO, enterprise search, and admin controls
Enterprise: $20/seat/month plus usage at API rates for Team features, SCIM, audit logs, custom data retention, and a HIPAA-ready offering
9.
Manus
Manus is a general-purpose AI agent, now part of Meta, that can handle complex, multi-step tasks end-to-end. You describe what you need (such as building a website, creating a slide deck, conducting deep research, designing assets, or developing an app) and Manus executes autonomously by browsing the web, writing code, and producing deliverables. It offers features like a persistent Cloud Computer, a browser operator, Wide Research for scaling tasks across multiple sources, and integrations with Slack and email. It is a powerful tool for automating one-off creative, development, and research tasks.
Product details
General-purpose agent: Executes both simple one-off tasks and complex, multi-step workflows.
End-to-end execution: Handles everything from building websites to creating slides, designing assets, and conducting deep research.
Cloud Computer: Provides a dedicated, always-on cloud machine to run bots, Python scripts, apps, and scheduled jobs.
Browser operator: Allows the AI to navigate and interact with the web autonomously on your behalf.
Wide Research: Scales complex research tasks across multiple sources simultaneously for deeper insights.
Scheduled tasks: Run recurring work inside the same task context to automate repetitive processes.
Cross-platform access: Available on mobile, desktop, web, and via API for flexible access anywhere.
Pricing
Manus offers several paid tiers based on monthly credit usage, with a 17% discount for annual billing.
Standard: Dynamic pricing for 4,000 credits/month, 300 daily refresh credits, 20 concurrent tasks, and 20 scheduled tasks
Plus: Dynamic pricing for 8,000 credits/month, 300 daily refresh credits, 20 concurrent tasks, and 20 scheduled tasks
Pro: Dynamic pricing for 40,000 credits/month, 300 daily refresh credits, 20 concurrent tasks, 20 scheduled tasks, and a free Cloud Computer
Team: Custom flexible plans for businesses of all sizes requiring SSO and API access
10.
Tray
Tray.ai is an AI orchestration platform that combines a traditional iPaaS with AI agent development and integration capabilities. Its Merlin Agent Builder allows teams to create intelligent agents that reason, act, and learn across connected systems, while its Agent Gateway enables the secure deployment of managed MCP servers. The platform features over 700 pre-built connectors, agent accelerators for IT and HR, and enterprise-grade governance including audit trails, guardrails, and role-based access control. Designed for large business and development teams, Tray focuses on scaling trusted AI agents and consolidating complex enterprise integrations into a single automated platform.
Product details
Agent Builder: Create conversational, event-driven, or fully autonomous AI agents with guardrails and identity protection.
Agent Gateway: Deploy secure and governed Model Context Protocol (MCP) servers across your organization.
Extensive integrations: Connect securely to over 700 off-the-shelf connectors to reduce enterprise integration sprawl.
Pre-built accelerators: Speed up time-to-value with ready-to-use agents designed specifically for ITSM and HR workflows.
Enterprise governance: Centralize observability, security, and role-based access control across all agents and automations.
Flexible multi-LLM support: Choose the best language model for each specific enterprise use case.
Intelligent iPaaS: Infuse intelligence into existing business processes and manage data across complex enterprise systems.
Pricing
Tray.ai offers custom pricing tailored to specific business needs. All paid plans require contacting the sales team for a custom quote, with AI and MCP capabilities available as add-ons.
Pro: Custom pricing for 3 workspaces, 7-day insights, 7-day log retention, and 700+ connectors
Team: Custom pricing for 20 workspaces, 30-day insights, and access to all available add-ons
Enterprise: Custom pricing for unlimited workspaces, 180-day insights, advanced on-premise deployments, SSO, and HIPAA compliance
Tray Agent Gateway: Custom pricing add-on to create governed and managed MCP services with observability
Merlin Agent Builder: Custom pricing add-on to build AI agents with guardrails, knowledge ingestion, and pre-built accelerators
The bottom line
The AI automation landscape in 2026 looks very different from even a year ago. Agentic workflows, multi-agent systems, and built-in governance have moved from buzzwords to baseline expectations. When picking a Gumloop alternative, focus on what matters most for your specific situation. That means ease of use, AI agent capabilities, human-in-the-loop oversight, integrations, security, and pricing that makes sense for your workflow volume.
Here's a quick recap of the 10 alternatives we covered:
Relay.app — Best all-around alternative. Easiest to use, with built-in human-in-the-loop controls and AI agent building in plain language.
Zapier — Best for integration breadth. 8,000+ app connectors with a mature, expanding AI toolkit including dedicated AI Agents and Chatbots.
Make — Best for visual power users. Canvas-based editor with advanced logic, branching, and 3,000+ integrations.
Stack AI — Best for regulated enterprises. HIPAA, SOC 2, ISO 27001, and on-prem deployment for healthcare, finance, and defense.
n8n — Best for technical teams. Open-source, self-hostable, with code plus no-code flexibility and execution-based pricing.
Relevance AI — Best for sales and GTM. Purpose-built AI agents for prospecting, lead qualification, and pipeline management with multi-agent workforces.
OpenClaw — Best for privacy-first power users. Open-source, runs locally on your machine, and works across WhatsApp, Telegram, Slack, Signal, and more.
Claude Cowork — Best for individual productivity. Autonomous multi-step task execution powered by Anthropic's Claude with growing integrations via MCP.
Manus — Best for complex one-off tasks. Now part of Meta, a general-purpose AI agent for deep research, web browsing, and content creation.
Tray — Best for enterprise IT orchestration. 600+ connectors, Merlin Agent Builder, governance features, and pre-built agent accelerators.
Don't be afraid to test a few tools before committing. Most platforms on this list offer free tiers or trials that let you kick the tires on real workflows.
If you want my recommendation for where to start, Relay.app is the clear winner. It combines ease of use, powerful AI agent capabilities, and built-in human-in-the-loop controls that none of the other tools match. You can describe what you want in plain language, and Relay.app builds the agentic workflow for you. No steep learning curve, no credit-counting anxiety, and no giving up control over what your AI agents do. It's ideal for both beginners who want to get started in minutes and experienced users who need reliable, production-ready automations.
Ready to start scaling your business with Relay.app? Sign up for free today.
Jacob Bank
Founder/CEO at Relay.app
Jacob is the Founder and CEO of Relay.app. Prior to founding Relay.app, Jacob was a Director of Product Management at Google, where he led the product teams for Gmail, Google Calendar, and several other Google Workspace products. Before that, Jacob was the Co-founder and CEO of Timeful (acquired by Google in 2015), a smart calendar that leveraged insights from behavioral psychology and AI to help people spend time on their most important priorities. He has a BA in Computer Science from Cornell University and was pursuing a PhD in the AI Lab at Stanford before dropping out to found Timeful.
FAQs
What's the best AI automation tool for small businesses and entrepreneurs?
For small businesses and entrepreneurs or solopreneurs, Relay.app has the best combination of ease of use, AI capabilities, and value. It has a generous free plan to get started, built-in AI credits (so you don't need separate OpenAI or Anthropic subscriptions), and human-in-the-loop features that keep you in control of AI-driven processes. Other strong options include Zapier (if you need connections to niche or legacy tools) and Make.com (if you're a power user who wants maximum flexibility at a lower price point).
Can I replace Gumloop or Relevance AI with Relay.app for AI workflows?
In many cases, yes. Gumloop and Relevance AI are focused on building AI-powered agents and pipelines, but they can have steeper learning curves and less predictable pricing as usage scales. Relay.app combines AI steps (using models like GPT, Claude, and Gemini) with 100+ native app integrations and built-in human-in-the-loop approval workflows, making it a strong replacement if you need AI automation that's easy to set up, plugs into your existing tech stack, and involves team collaboration.
How does Relay.app keep AI token costs low compared to general-purpose AI agent builders?
Relay.app uses AI in a focused, intentional way, as part of defined individual steps within a structured workflow, rather than having an AI model reason through an entire task from scratch every time. This means you only consume tokens for the specific step that needs AI (e.g., summarizing an email or classifying a ticket), not for planning, navigating apps, or recovering from errors. Compared to general-purpose AI agent builders like Gumloop or Relevance AI, this targeted approach can significantly reduce token usage and cost while delivering more predictable results.
How does using smaller AI models for simple tasks in a workflow help reduce token costs?
Not every step in a workflow needs a frontier AI model. Simple tasks like classifying a support ticket, extracting a name from an email, or generating a short summary can be handled by smaller, cheaper models while reserving powerful models for complex reasoning. Relay.app lets you mix and match AI models like GPT, Claude, and Gemini within a single workflow, so you can assign the right model to each step based on complexity (and if you don't know models, the AI assistant will just pick the best one for you). This targeted approach can significantly lower your total token costs compared to AI agent builders that route everything through a single large model.
