Relay.app

We primarily weighed Relay.app against Zapier, Make, and Gumloop.Zapier: It felt like the "safe" but expensive choice. At the scale we needed, the costs were prohibitive, and their AI implementation felt less like a cohesive agent and more like a series of disconnected prompts bolted onto a legacy system.Make: While incredibly powerful for granular logic, the learning curve was a significant hurdle. We needed to move fast, and building complex logic in Make felt like it required a specialized degree in their specific UI.Gumloop: We were really impressed by Gumloop, it’s an amazing, AI-native platform that excels at heavy data processing and scraping. However, it felt more like a "sandbox" for technical AI builds. For our specific needs, it didn't quite match Relay’s seamless "Human-in-the-Loop" collaboration features, which were vital for our team-facing workflows.Relay.app hit the "Goldilocks" zone for us: it has the approachable, user-friendly interface of Zapier but with the deep AI agent capabilities of a tool like Gumloop, all backed by a pricing model that actually makes sense for a small business.

We evaluated several major players before landing on Relay.app, and the decision came down to accessibility and time-to-value.vs. n8n: While we still use n8n for certain technical tasks, it proved to be a bit too "techy" for our early AI adopters. The access control and user management weren't intuitive enough for a team-wide rollout where we wanted non-technical stakeholders to have agency over their workflows.vs. Glean: Glean was unfortunately priced out of the ballpark for us. Their model required a massive "all-in" commitment, both financially (with 4-5-figure monthly quotes and high seat minimums) and technically (requiring deep access to all systems upfront). It felt like overkill before any real value was proven.Relay.app provided the perfect middle ground. It offers a "gradual start" where you can test workflows and see immediate ROI before scaling. It balances the power of a technical tool with a user experience that doesn't intimidate the team, making it the ideal choice for a company looking to integrate AI into its daily operations without the friction of enterprise-only pricing or overly complex interfaces.Above all, they are an amazing team to work with. They don't just provide support; they act as true partners, listening to our feedback and shipping updates at an incredible pace. It’s rare to find a tool where the team is just as impressive as the software itself.

Ease of use, has competent AI supporting me that feels like actual support rather than a dumbed-down version of a policy-reading robot. Refreshing. Productive and learning how to work productively with Relay's system is about incremental progress that keeps gaining momentum. No brick walls.

A previous system seemd to fight us at every turn, when training the model it would disagreee with out inputs and just go off on its own direction no matter how wrong it was. The Relay.App integration just worked and was very configurable.

We chose Relay.app for its clarity and ease of ongoing ownership. Compared to alternatives, it’s quicker to get started with and far easier to understand, trust, and maintain as workflows scale.

I didn't really research before I started using it, just wanted to play around. But then I started seeing other folks in my circles trying to implement flows with n8n, and I literally saw them writing/reading code (or what looked like it). This told me I made the right choice.

You can go from zero to productive with Relay. It's more intuitive and the AI assistant is really good - much better than Make's. The LinkedIn integration is the best out there. All the integrations I need are available. It's the best.

It came down to speed and simplicity. Relay is much more intuitive; it feels like it’s designed to help you build, not to make things more complicated.

It is simpler than n8n, it has all the integrations we need. The team understands it. What can you ask more? :)