New
Hatz Learn Resources
Hatz Learn has a Resources tab, with its own set of guides, walkthroughs, and videos for each audience. Everything opens in place — videos play on the page, and the reference material opens as a Hatz artifact.
For your team, under
Learn → Resources
:- Hatz AI Glossary— Hatz and AI terminology in one place, for anyone meeting the platform for the first time.
- Universal Use Cases— practical ways teams put AI to work, to hand someone who is not sure where to start.
- Hatz Tower— a dungeon crawler game built in Hatz that puts your AI knowledge to the test
- What Is Hatz?— a short video introduction.
- LAB (Learn And Build)— register for the Learn And Build webinar.
For MSP admins, under
Learn → Resources
in the Admin dashboard:- Admin Training— administering Hatz for the companies you manage.
- Hatz Activate Demo— a guided walkthrough of Activate.
- Hatz Activate Webinar— how Activate supports MSP growth.
The two sets are kept apart: your clients see their own Resources tab, and the MSP enablement material stays in the Admin dashboard.
Gemini 3.8 Flash
Google's newest Flash model is in the model selector for chat, apps, agents, and workflows, with a 1-million-token context window and a 65,536-token output ceiling.
- Google reports 61.4% on Vals Finance Agent v2 for financial analyst tasks, against 59.0% for Gemini 3.7 Flash, and 89.4% on Terminal-bench 2.1 for agentic terminal coding, against 85.8%.
Claude Fable 5.1
Anthropic's newest Fable model is in the model selector for chat, agents, and workflows, with a 1-million-token context window, a 128,000-token output ceiling, and adaptive thinking always on.
- Anthropic reports 52.6% on Terminal-Bench-Science 0.1 against 24.7% for Claude Fable 5, and 55.8% on Terminal-Bench 4.0 against 42.0%.
- Vision and tool calling are supported, so images and multi-step tool work stay in the same conversation.
- Auto routing sends the most demanding text work to it.
GLM 5.3
Z.ai's full-size GLM 5.3 joins GLM-5.3-Flash in the model selector for chat, agents, and workflows, with a 1-million-token context window and a 262,144-token output ceiling.
- Built for complex system engineering and long-running agent work.
- Z.ai reports a 50% gain over GLM 5.2 on its own Code Bench, and Terminal-Bench 3.0 moving from 4.6 to 28.3.
MSP Admins
Activate: Shadow AI Scans are Easier to Deploy Through Your RMM
- The collector download is named for the prospect it belongs to, and the prospect's name appears in the script itself, so a batch of scans is easier to follow.
- Setup splits into two labelled paths: deploy across a fleet through your RMM, and includes backup instructions to deploy by hand.
- macOS and Linux scans now work with NinjaOne System/root jobs — Open an existing scan, click Deploy to more devices, download the updated macOS/Linux collector, and replace the script in NinjaOne.
- The Windows collector runs under Syncro, and the macOS and Linux collectors run as System or root, so RMM-launched jobs report their devices back.
- Windows scans now work through Syncro — Open an existing scan, click Deploy to more devices, download the updated Windows collector, and replace the script in Syncro.
Activate: PSA Sync Updates
- Autotask sync is more reliable for MSPs with a large number of companies
- Pressing Sync while a run is already going tells you the run in flight and when it started.
- Faster PSA Sync for ConnectWise (no more timeouts)
Who Has Access:
Primary Admins, Admins, and Sales Users.