Runwork
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Runwork vs Fibery

Runwork vs Fibery

Keep the workspace you configured. Runwork sits under the AI tools your team uses everywhere else.

Quick Verdict

Fibery is the most configurable workspace in this category. If you are willing to model your work properly, you get connected data, bi-directional links, and reports shaped like your company instead of a template. That configuration only pays off inside Fibery. Your team spends the day in Claude, ChatGPT, Cursor, and a stack of other tools, and none of them get smarter because your Fibery space is well modeled. Runwork sits underneath the tools your team already chose, so what one person works out with AI reaches everyone and keeps running on its own. Fibery stays exactly as you configured it.

Overview

Fibery rewards teams who are willing to model their work. Entity types, relationships, views, all shaped to how your company actually runs rather than how a template thinks it should. Runwork is not a second workspace to configure, and it is not asking for that effort again. It sits under the AI tools your team already uses. When one person works out how to do something with their own agent, the research digest, the release notes, the pass over customer feedback, their agent writes it into your team cloud and every teammate's AI has it from then on. It runs on a schedule if it should, and it reads and writes Fibery while it runs.

Fibery is a Connected Workspace Platform.

Runwork Strengths

  • No second workspace to configure. People keep using the AI tool they already opened.
  • What one person works out reaches every teammate's AI, without anyone passing prompts around.
  • Schedules and workflows run in your team cloud, so work continues when laptops close.
  • Fibery is one of 3,300+ integrations your agents can connect, so your spaces stay current without manual updates.
  • What your agent builds runs somewhere real, with versions and backups, not on one person's machine.
  • An adoption dashboard that shows which parts of your team are getting good at AI.
  • Switch AI tools next year and nothing resets. The capability belongs to your team.

Fibery Strengths

  • Data modeling flexible enough to match how your company actually works.
  • Strong bi-directional links between entities, not just table lookups.
  • Docs, whiteboards, and collaboration living next to the structured data.
  • A reporting and views system that goes well past standard dashboards.
  • Especially good for product management and research workflows.
  • One admin can shape the whole workspace without engineering help.

Feature Comparison

Where your team works

Feature Runwork Fibery
Works inside the AI tools your team already uses 60+ AI tools Fibery AI, in Fibery
Setup effort before you get value Connect and go Workspace configuration
Visual data modeling and connected views -
One person works it out, every teammate's AI knows it Inside Fibery only
Survives switching AI tools -

What the team keeps

Feature Runwork Fibery
Shared skills any teammate's AI can use Space templates
Still running when the team logs off Fibery rules
A home for tools your agent builds -
Versions and backups of what your agent made Entity history
Long-running work, not only rules and triggers -

Connected tools

Feature Runwork Fibery
Pre-built integrations 3,300+ 50+
Your agent can read and write your Fibery spaces
Custom API connections
MCP servers hosted for the whole team -
File storage

Team and trust

Feature Runwork Fibery
Role-based permissions
Audit logs Enterprise
SSO / SAML Soon Enterprise
Adoption dashboard for the whole team -
Custom domains for what your team ships -

Where the work runs

Feature Runwork Fibery
Hosting included
Global edge deployment -
Auto-scaling
Automatic backups

Which Tool is Right for You?

Choose Runwork if you need...

  • * Teams whose people each use a different AI tool and share none of it today
  • * Keeping what one person works out with AI instead of losing it in a chat history
  • * Work that has to keep running with nobody watching it
  • * Tools an agent builds that need a home the whole team can find
  • * Seeing which parts of the team are actually getting good at AI

Choose Fibery if you need...

  • * Complex data modeling with a lot of relationships
  • * Product management and research workflows
  • * Teams who want a workspace shaped exactly to their process
  • * Docs, whiteboards, and structured data sitting side by side

Pricing Comparison

Fibery charges per user. A Runwork plan comes with seats and a monthly usage budget, and the trial runs 14 days with no card. Teams usually run both, because Runwork is not a workspace your team works inside.

View Runwork pricing

How to Migrate from Fibery

There is nothing to migrate. Your Fibery spaces, entity types, and views stay exactly as they are. What changes is where the AI work your team does everywhere else lands, so it stops living on individual laptops. No modeling session required for this part.

Typical migration: An afternoon to get the first shared skill running

1

Pick the thing one person already does well

The customer feedback pass, the release notes, the research digest someone's AI writes better than anyone expected. Whoever does that well is where this starts, not with a configuration plan.

2

Connect Fibery and the rest of your stack

Connect from 3,300+ integrations, so an agent can read your entities and write updates back into the spaces you already modeled.

3

Let their own agent write it down

They explain it to whichever AI they already work in. That agent writes the skill into your team cloud. No new workspace to set up and nothing to model twice.

4

Everyone else gets it automatically

The next teammate who opens their own AI already has it, with the judgment calls the first person had to work out by trial and error.

5

Put it on a schedule if it should repeat

A Fibery rule fires when something changes in Fibery. Work in your team cloud runs on a clock, across every tool you connected, and keeps going when the person who wrote it is offline.

Frequently Asked Questions

Do we have to leave Fibery?
No. Fibery keeps the workspace you modeled, and the effort you put into it keeps paying off. Runwork sits underneath the AI tools your team uses, keeps what those tools work out, and connects to Fibery so agents can read and write your spaces. Both together is the usual arrangement.
What about Fibery AI?
It works on your Fibery data, inside Fibery. The gap is that your team also spends the day in Claude, ChatGPT, and Cursor, and none of those learn anything from it. Runwork brings no AI of its own. It runs on the agents your team already uses, which is why a skill one person works out turns up in every tool the team opens.
We already modeled our whole workspace. Do we do that again in Runwork?
No. Runwork does not need a data model to be useful. You connect the tools you already use and start with one skill someone already worked out. If a tool your agent builds later needs data of its own, Runwork has storage for it, but nothing asks you to remodel what Fibery already holds.
Does anyone have to change how they work?
No. Same spaces, same AI tools, same habits. Runwork sits underneath, and the desktop app keeps people in sync without anyone managing it. Anything that needed a migration first would defeat the purpose.

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