GAIA - Turn prompts into AI-powered automations.
Empower teams and individuals with AI-driven automation. GAIA enables non-technical users to optimize workflows with simple prompts—set up in minutes, see instant impact. Measure AI efficiency, streamline work, and boost productivity effortlessly.
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👋 Hello Product Hunt Family!
I'm incredibly excited to finally launch GAIA – Generative AI Atmosphere, a collaborative and no-code workspace specifically designed to put AI teammates directly under the management of every employee and domain expert—no coding skills necessary!
🚀 What exactly is GAIA?
GAIA is your team’s collaborative workspace where you can intuitively build, test, and manage AI-powered automations. Using easy-to-use no-code frameworks and clear-language AI prompts, GAIA enables you to:
✅ Effortlessly create custom buttons, input fields, and automation triggers within your workflows,
✅ Swiftly build, experiment with and deploy AI automations through straightforward prompts,
✅ Divide your work clearly into individual processes, assign automations across team members, and transparently collaborate,
✅ Accurately measure, track, and optimize the real productivity impact of your AI practices.
🎯 Why I created GAIA?
During my professional experience in the retail industry, I witnessed how crucially interconnected business processes and departments truly are. Observing first-hand, I came to clearly understand the enormous productivity losses companies suffer when there’s a communication gap between domain experts and technical teams.
Believing fully that non-technical employees must directly be empowered with technical capabilities (AI, automation) at work, I made a major decision: I decided to close my previous Business Process Automation (BPA) agency—and founded GAIA, entirely dedicated to bridging the gap between technology and domain expertise.
At a time when NVIDIA CEO Jensen Huang famously predicts IT will replace HR functions, we took the exact opposite approach: enabling HR teams to easily equip their workforce directly with no-code AI and automation capabilities—empowering every employee to become technically competent in managing their tasks.
I’d love to hear your valuable perspectives on these critical topics:
🗣 Should domain experts (non-tech team members) intuitively build automation themselves, or do dedicated technical teams still need to control automations?
🗣 How do you clearly track and measure productivity improvements from AI in your own experience?
Can’t wait to discuss, brainstorm, and connect today. Thank you all very much in advance for your valuable support and insights!
Warmest regards,
Saltuk Kıraç
Founder @ GAIAsphere.io 🎯
GAIA feels like a mix of Airtable and AI, but even smarter and more collaborative.
@jacob_jac2 Thanks, Jacob—you found a great way to describe it.
We’ve been working to keep the simplicity and flexibility of something like Airtable, but add decision logic and real workflows that can adapt and evolve. The goal is exactly that: not just smart, but also understandable and collaborative.
If we succeed in helping non-technical people automate with clarity, businesses won’t lose the immense value of domain experts during this AI transition. That’s the real win we’re aiming for.
Let me know if there's something specific you'd like to build with it—always curious to see how others imagine its use.
I got to see GAIA in action the user interface is smooth, and the power behind it is impressive. It’s super promising.
@claudio_fanetti Thanks so much, Claudio that really means a lot. We’ve worked hard to make the interface feel smooth while still offering deep flexibility underneath. Excited to keep pushing it forward.
If you’d like a better sense of how it works in real workflows, I’d definitely recommend checking out our Supademo walkthrough.
It’s not a traditional tool, and we’re all kind of exploring it together so diving in that way might feel more natural.
Would love to hear what kind of use cases you’d be most curious to build with GAIA!
Does it allow for conditional logic in prompts?
@avery_bolton yes—you can absolutely create conditional logic based on how you structure your prompt and data.
Instead of typing conditions directly to prompts, I use dynamic data types and treat them as “conditions” inside the system. For example:
You can design your prompt to behave differently depending on values it receives.
Or, you can use a data type like conditions to determine which action to trigger, or which fields to populate.
The logic flows from how your prompt is written and what kind of data it’s paired with.
If you tell me what kind of outcome you're aiming for, I’d be happy to show a more detailed example or walk you through it.
It’s fantastic to see a tool that connects business needs with tech implementation so seamlessly.
@harry_whitmore Thanks so much that means a lot. That’s exactly the gap we’re trying to close: turning real business needs into actionable, flexible systems without the technical overhead. If we can make that bridge feel seamless, then we know we’re on the right track.
Let me know if there's a specific use case you're thinking about—always happy to explore ideas.
The simple prompts approach looks really promising for non tech teams but how do you tackle those tricky edge cases when workflows become complex or have multiple conditions? Is there a backup plan for more advanced configurations?
@spencer_hudson2 thank a lot Spencer. one of my favorite comments of day. its a Great questionand and this is exactly the kind of challenge we designed GAIA to handle before it becomes a problem for non-technical users.
The short version is: we don’t expect users to design complex fallback systems. Instead, we give them simple tools that naturally account for complexity behind the scenes.
For example:
If a workflow might need human review, all they have to do is include a line in the prompt like “In these cases, send for human review” and then select the “Human Review” button as the output action.
GAIA will then route the task to a dynamic “Human Review” list automatically just like adding a row to a shared table.
Another example: let’s say the user adds a dynamic data field like "Expected cases"
They can just write in the prompt: “If the input doesn’t match one of the expected cases, don’t take action.”
The item will then remain paused in the workflow visible in the interface, but untouched making it easy to spot and resolve without debugging or technical conversations.
The whole point is to design a system that solves traditional automation challenges without requiring people to understand them first.
If you have other edge cases in mind, I’d love to hear them.
Do you think no-code automation like this can really be accessible for non-technical teams? Curious to hear your take.
Great potential! Is there any collaboration support, like shared workflows or visibility into team automations?
@alex_bryant1 When you create a GAIA account, you’re actually creating an organization workspace, not just a personal account. That’s intentional because GAIA was designed as a collaborative environment where humans and AI can work side by side.
We currently support five distinct user types, so you can easily distribute responsibilities across roles—for example, someone creating flows, someone monitoring them, someone triggering actions, and so on.
You also get full visibility into shared workflows, task ownership, and system-wide automation history so it’s clear who (or what) did what, and when.
It’s not just a tool for individuals it’s also a space for people and AI to collaborate in real operational workflows.