Jev in Practice: Build Faster, More Reliable AI Decisions Online session with discount

Post request. 
Not every AI problem needs another LLM call. 

Your engineering pipeline makes hundreds of small decisions every day:
Is this test result suspicious?
Which code issue actually matters?
Is this AI workflow worth what it costs?

These decisions need to be fast, repeatable, and structured so your software can act on them instantly. That's exactly what Jev is built for. It's a fast "System One" decision model that complements slower generative models instead of replacing them.

I'm excited to share a hands-on workshop that takes Jev well beyond the API demo:

Jev in Practice: Build Faster, More Reliable AI Decisions

Instructor: Renata Andrade, Quality Engineer Lead and Test Automation Engineer & Architect
When: Monday, 26 October 2026, 12:00 to 2:00 PM EDT (4:00 to 6:00 PM UTC)
Where: Online
What you'll do: Build 3 real projects, including:
Exploratory testing with Jev + Playwright that returns confidence-aware test verdicts
A code health decision layer that classifies and prioritises RepoWise/CodeScene findings

You'll walk away knowing how the same decision primitives can solve very different engineering problems.

Exclusive for my network: Use code ADY30 for 30% OFF your ticket!

👉 Grab your spot here: https://www.eventbrite.co.uk/e/jev-in-practice-build-faster-more-reliable-ai-decisions-tickets-2002491112824?aff=AdyStokes&discount=ADY30

If you work in QA, test automation, or AI engineering, this one's for you. Tag a teammate who needs to see this! 👇

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