Fibery has huge potential to become a powerhouse for advanced data analysis by pulling in data from different sources and enabling AI-powered workflows across multiple layers and processes.
This year, I’ve been experimenting with chaining AI operations in Fibery to connect and process data in smarter ways. The challenge, though, is that Fibery’s current automation features haven’t kept pace with AI capabilities, and it’s starting to feel like a bottleneck for the product’s growth.
Fibery really needs a dedicated interface for building layered and connected AI workflows. The Automations UI just doesn’t cut it—it’s not built to handle the complexity of chaining AI processes or making it easy to mix and match operations to get the most out of all the data in the system.
Right now, it feels like only the most tech-savvy Fibery users can figure out how to set up these kinds of workflows. But this is where the real opportunity lies: making advanced AI workflows simple and accessible for everyone, not just for admins or developers. That should be Fibery’s main focus moving forward.
There’s also a gap between Fibery Templates and the Automations system:
Templates are great for creating basic, standalone setups but don’t work well if you’re trying to integrate them into existing structures. They feel more like static examples than reusable building blocks or plugins.
Automations are powerful but are geared toward advanced users with the time and skills to set up complex workflows.
The real trend in AI right now is giving everyday users the tools to create layered AI workflows and insights with minimal effort. Fibery needs to lean into this trend by building tools that make AI integration seamless and intuitive.
Personally, I’ve never used Fibery Templates and probably never will. They just don’t plug into my workflows in a way that feels dynamic or useful. What Fibery really needs is to close the gap between static templates and overly complex automations, making AI-powered processes a core, user-friendly feature for everyone.
I think @Yuri_BC 's points about Fibery’s AI workflow gaps are spot on. The current one-off automations serve their purpose for individual tasks, but there’s a significant opportunity to unlock more advanced functionality by harnessing Fibery’s flexible data model. Instead of just relying on AI chatbots to surface data, imagine introducing configurable Agents capable of executing complex, multi-step workflows—creating new entities, updating existing ones, and intelligently interacting with data across different spaces and databases. Platforms like Copy.ai have already illustrated the power of chaining AI-driven tools together (e.g., “generate blog outline” → “expand sections” → “draft social posts”) to create seamless workflows. Fibery could take this concept further by leveraging its well-structured data model to enable something similar.
Imagine having the ability to create a Marketing Agent, a Support Agent, and a Product Manager Agent, QA Agent, etc., that can be pieced together into an agent-driven workflow: Input a description of a feature → Create PRD → Generate Epic/Story tickets and assign to Dev → Create Test Cases → Generate Help Center Article, and so on. These agents could not only automate repetitive tasks but also collaborate across different parts of the organization, ensuring consistency and efficiency while reducing manual hand-offs.
This feels increasingly relevant as agent frameworks like LangChain, AutoGen, and CrewAI continue to gain traction. These tools demonstrate that when AI agents are provided with strong contextual understanding and access to structured data—both of which are inherent strengths of Fibery but with no-code—they can manage sophisticated, multi-step processes with efficiency. Drawing inspiration from solutions like Copy.ai and incorporating an visual workflow builder, Fibery could evolve beyond simple automations and static templates to deliver intelligent, end-to-end process automation. This would be a game-changer for teams aiming to systematize workflows while retaining the flexibility that makes Fibery stand out.