Document Experiments With Complete Model Context
Experiments should be documented with the models available at the time they ran. When you log an experiment in your private team, Notis automatically attaches the current model inventory, so your research notes stay complete and reproducible.
Trigger
Private Team Issue Created
Fires when a new issue appears in a private Linear team (polled with the connected user's token).
Action
List AI Models
Tool to fetch a list of available ai models. use when you need up-to-date model listings and want to filter by. model type, subtype, provider, or retrieve specialized lists like voices or restrictions.
Why this helps
Experiment documentation lacks model context, making it hard to reproduce or compare results later
- Document experiments with complete model context
- Make research reproducible from task notes
- Keep documentation current without manual updates
- Enable team learning from past experiments
Setup
Build it in a few focused steps.
- 1Connect Linear and Apipie ai to Notis
- 2Ask Notis 'When I create an experiment issue in my private team, list all available models at that time'
- 3Set trigger to 'Private Team Issue Created' and choose your notification channel
- 4Notis will fetch the model inventory from Apipie ai when experiment issues are created
- 5Test: Create an experiment issue in your private team and verify models are listed
Questions about this workflow
Why is model context important for experiments?
Experiment results depend on model versions and capabilities. Documenting available models ensures reproducibility and learning.
Can I note which specific models were used?
Yes. Include model names in your experiment description and Notis highlights them alongside the full inventory.
What if model availability changes after the experiment?
Notis documents available models at creation time, creating a snapshot - useful for historical accuracy.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Linear to Apipie ai. A trigger fires from one place; an action lands in another.
Linear triggers
Apipie ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Delete Vectors
Tool to delete an entire vector collection or specific vectors. use when you need to remove vector data after identifying your target collection or vectors.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Fetch model restrictions
Tool to retrieve a list of country restrictions for models. use when you need to verify allowed deployment countries before final model selection.
Comment Received Trigger
Triggered when a comment is received.
Get query history
Tool to retrieve historic api usage logs including latency, token counts, costs, and source ip. use after authenticating to analyze past queries for cost management, performance monitoring, or auditing.
Issue Created Trigger
Triggered when a new issue is created.
List AI Models
Tool to fetch a list of available ai models. use when you need up-to-date model listings and want to filter by. model type, subtype, provider, or retrieve specialized lists like voices or restrictions.
Issue Updated Trigger
Triggered when an issue is updated. For example labels are changed, issue status is changed, etc.
Private Team Comment Created
Fires when a new comment is posted on an issue in a private Linear team (polled with the connected user's token).
Private Team Issue Created
Fires when a new issue appears in a private Linear team (polled with the connected user's token).
Private Team Issue Properties Updated
Fires when properties on an issue change in a private Linear team (polled with the connected user's token).
Connect any two apps with Notis in the middle.
Linear and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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