AI agents for Fibery
A Monmo agent works in Fibery the way a product operations hire would. It reads customer feedback from Intercom, Slack and call notes and links each request to the feature it belongs to, keeps entities and relations tidy, and writes the weekly product summary from your databases. It uses your own Fibery account and asks before it creates, links or changes an entity.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Fibery
Link feedback to the right feature
It reads new Intercom conversations and the customer channel in Slack, picks out each request, and proposes which feature entity it belongs to, quoting the customer's own words.
AskGo through this week's Intercom conversations and propose which Fibery feature each request belongs to.
Lay out the evidence for planning
Before a planning session it counts linked feedback per feature, groups it by customer segment and recency, and drafts a one-page table. What to build stays your team's call.
AskFor Thursday's planning, rank the top 15 features by linked feedback and split each by plan tier.
Turn a call into insights
From a customer call transcript it drafts the insights, links each to an existing feature or proposes a new one, and records which account it came from.
AskPull the product insights out of today's call with Ridgeway and link them to features in Fibery.
Update entities from project threads
When a status changes in a Slack project thread, it proposes the matching change to the entity in Fibery: state, owner, target date and its relation to the release.
AskUpdate the Mobile release features from today's thread in the release channel. Show me each change before saving.
Tidy relations and duplicates
It finds features with no product area, near-identical entities with different names and tasks with no parent, and proposes what to link, merge or archive in one list.
AskFind features with no product area and duplicate feature names, and propose a fix for each.
Write the weekly product summary
Every Friday it reads what moved in your Product space: features shipped, new feedback themes, dates that slipped. It drafts a short summary for the team channel in Slack.
AskEvery Friday at 4, summarise what shipped, what slipped and the new feedback themes in our Product space.
Draft release notes from a release
When a release is marked done, it reads each linked feature and drafts customer-facing release notes plus a shorter changelog for the team, both for you to edit.
AskRelease 3.8 is done. Draft customer release notes and a short internal changelog from its features.
How it connects
- 1You connect your own Fibery workspace once, by signing in or with an API token from your Fibery settings. The agent works with that user's access to spaces and databases.
- 2You choose which agents may use Fibery. A product or customer success agent fits; to link feedback it also needs Intercom or Slack.
- 3Reading databases, views and documents needs no approval. Creating or updating entities, linking feedback to a feature, changing relations and running rules or buttons ask first, and one card can carry a batch.
More in Projects, tasks and time
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent sort product feedback in Fibery?
Yes. A Monmo agent reads feedback from Intercom, Slack, call notes and email, finds each request and proposes which feature it belongs to, quoting the source. You approve the links on one card. It works through the Fibery connection, or in its own browser when the connection does not reach a step.
Does the agent decide what goes on the roadmap?
No. The AI agent gathers the evidence: how many customers asked, from which segments, how recently, and what each feature is already linked to. It lays that out for your planning session. Choosing what to build and when stays with your product team.
Can it work with our own Fibery databases and fields?
Yes. Every Fibery workspace is shaped differently, so the agent reads your spaces, databases, fields and relations first and uses your names for things. If a field's meaning is unclear, it asks you before using it, and it writes down the answer for next time.
Is it safe to connect Fibery to an AI agent?
The agent uses the account or API token you connect and can reach only what that user can. Reading is done without asking; every create, update, link or rule run waits for your approval. You can watch its screen while it works and revoke the token at any time.