How to Track New Model Releases
A repeatable workflow for tracking model releases across labs, hubs, and policy sources.
By AyeWatch Team3 min read
Short answer: To track new model releases, build a source list of lab blogs, changelogs, model hubs, and policy pages; write a rule that names releases and deprecations; route alerts to engineering; and run a small eval on each alert.
AyeWatch is an AI monitor for public pages and topics. It watches lab blogs, changelogs, and model hubs and sends a summary to push, email, Slack, Discord, or a webhook.
Build the source list
One row per lab: blog, changelog, model hub, GitHub, and official social account. Add policy pages and a news topic for context.
Keep the list in a doc so it survives staff changes.
Write the rule
"Alert me when a lab publishes a model release, an API changelog entry, or a deprecation. Ignore funding, opinion, and reposts." That rule can say no.
Name the labs and the model families you care about.
Route the alert
Send releases to engineering, policy to legal or compliance, and pricing to product. Do not put all three in one channel.
AyeWatch Pro is $9/mo with 50 topics and hourly checks; Pro+ is $19/mo with 200 topics and ASAP mode.
Run the eval
Check the model card, context window, price, and license. Run a small eval with your own prompts. Record the result so the next release has a baseline.
An alert without an eval is trivia.
Review monthly
Retire sources that never produce a signal. Add a lab when a gap appears. Check the rules for noise.
The release tracking guide covers the source list.
Build a release tracker
- List the labs, hubs, and policy sources that matter.
- Write one rule naming releases, API changes, and deprecations.
- Route releases, policy, and pricing to different owners.
- Run a small eval on every alert and record the result.
Start a monitor in under a minute
Describe a topic or paste a URL. Cancel before the trial ends and you pay nothing.
Try it free for 7 daysThe bottom line
Build the source list and one rule. Route releases to engineering and policy to legal. Run an eval on the first alert and keep the result as your baseline.
FAQ
How do I track new model releases?
Watch lab blogs, changelogs, model hubs, and GitHub releases with a monitor. Route a summary to engineering.
What should I watch for?
New models, API changes, deprecations, price changes, and policy updates.
How often should I check?
Daily for most teams. Hourly if you ship on top of model APIs.
What do I do with an alert?
Check the model card and license, then run a small eval with your own prompts.