Track troubleshooting time when jobs fail

When a model run fails in Chat Data, start a timer in Jibble so engineers can accurately log the time spent investigating the failure.

Try:

See all Jibble + Chat Data integrations or talk to a human

Trusted by teams already building on Knit·

4.9/5 on G2·

Google for Startups Accelerator

How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Jibble Explore Jibble →

Triggers

New client added

Fires when a new client is added in Jibble.

New project created

Fires when a new project is created in Jibble.

New time entry logged

Fires when a new time entry is logged in Jibble.

Timer started

Fires when a timer is started in Jibble.

Actions

Create client

Creates a new client in Jibble.

Create project

Creates a new project in Jibble.

Create time entry

Logs a new time entry in Jibble.

Start timer

Starts a timer in Jibble.

Chat Data Explore Chat Data →

Triggers

New completion generated

Fires when Chat Data generates a response to a prompt.

Model run failed

Fires when a request to Chat Data errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Chat Data finishes.

Actions

Generate a completion

Sends a prompt to Chat Data and returns the model's response.

Summarize text

Uses Chat Data to summarize a block of text.

Classify or extract data

Uses Chat Data to classify or extract structured data from text.

Log processing time for completed AI jobs When a fine-tune job is completed in Chat Data, automatically log a time entry in Jibble to record exact computing and training durations. See details

Summarize work logs for client reports When a new time entry is logged in Jibble, send the work notes to Chat Data to generate a polished concise summary for invoicing. See details

See all Jibble + Chat Data integrations → · Browse the full workflow library →

Enterprise-grade security

Visit our Security Center Review the DPA

FAQ

Common questions

Can Knit build “Track troubleshooting time when jobs fail” between Jibble and Chat Data?

Yes — describe it in the box above and Knit's Integrations Agent researches Jibble and Chat Data's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

How do Chat Data and Jibble work together?

You can use AI to summarize daily time logs or automatically create time entries whenever processing tasks complete in Chat Data.

Can Chat Data help analyze time spent on client projects in Jibble?

Yes, when new time entries are logged in Jibble, Chat Data can summarize or categorize those logs to help project managers analyze team productivity.