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Fibery Ai

Fibery Ai

AI for space creation, formulas, text, automations, search, and reports.

Fibery Ai Overview

Fibery AI is a built-in assistant within the Fibery workspace platform that interprets natural language requests to query workspace data, generate reports, and modify workspace structure and content. It enables users to interact with connected databases through conversational commands rather than manual configuration. The tool can search and filter entities across multiple linked databases, create and edit views, generate HTML and PDF reports, classify data using semantic analysis, and build custom integrations for external APIs. Unlike standalone AI tools, Fibery AI operates directly within an organization's workspace, maintaining context across interconnected databases and automations.

Fibery Ai Features

Query and analyze workspace data across connected databases with relation-following capabilities Create, update, and delete entities in batch operations across all field types Generate HTML and PDF reports from workspace data Classify and group entities using semantic analysis (e.g., grouping feedback by theme) Create and modify views including Table, Board, Calendar, Timeline, Gantt, Feed, Map, and Form with filters and sorting Create custom Fibery integration connectors for HTTP/HTTPS APIs with connector code inspection and editing Apply AI assistance to automations, text fields, and number fields via OpenAI integration Auto-generate feature specification versions based on linked feedback

Detailed Insights:

  1. Users describe a workspace or task in natural language.
  2. AI generates databases, fields, and relationships automatically.
  3. Teams refine and customize the generated structure.
  4. AI assists inside workflows (writing, formulas, summaries).
  5. Automation rules trigger AI actions based on events or conditions.
  6. AI search helps locate relevant tasks, docs, or entities across workspace.
  7. External AI assistants can connect via MCP for deeper data interaction. 

What Makes It Different:

  • Generates full multi-database workspace structures from prompts
  • Strong relational data model (not just task lists)
  • AI deeply embedded in workflows, not a separate chatbot layer
  • Supports automation, search, writing, and data modeling in one system
  • MCP integration enables external AI tool connectivity
  • Designed for complex product and operational systems

Pros & Cons

Pros:

Turns plain language into precise platform formulas easily

Converts meeting notes into clear, actionable structured tasks

Pulls key fields from messy unstructured text reliably

Runs AI directly within workflows to automate repetitive work

Cons:

No strong standalone chat makes quick AI use less convenient.

Too many features can overwhelm new users during initial setup.

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*Price last updated on May 5, 2026. Visit fibery.io's pricing page for the latest pricing.

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