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Build your AI assistant for evaluation: Live Masterclass

Move beyond one-off prompting to design repeatable, quality-assured AI workflows that strengthen analysis, reporting and team practice.
Limited seats available.
Format 

Live Online Masterclass

Date

10 Feb 2027

9:30 - 11.30 am  (AEDT)
Duration

2 Hours

Price

$ 220 

(Incl GST)

What if your AI tool could do more than help with one-off prompts, and instead be a reliable assistant that supports a repeatable, quality-assured evaluation workflow? 

This advanced masterclass is designed for evaluators and MEL practitioners who already use AI in their day-to-day work and want to move from adhoc and one-off prompts into a structured, reuseable workflow. It focuses on building a reliable AI assistant for your MEL work: a repeatable, chained process you can trust and hand off to your team.

This session spotlights three core areas for building an AI assistant that actually works:


Structuring for consistency

to write prompts and custom instructions that produce reliable thematic coding across large qualitative datasets, every time they're used

Chaining the workflow

to connect each step into one continuous flow, instead of treating them as separate, disconnected tasks

Building shared, reusable assets

to turn your prompts and instructions into templates and connectors your whole team can rely on, not just something living in your own chat history

Throughout, we apply good practice at every step: human review checkpoints, output validation against your own data, and governance-aware design. This is an assistant, where every step stays under your direction, with no automated decision-making. You will work through real, technical use cases, build a working template of your own, and leave with a reusable flow you can apply to your next project.

Places are limited.
This masterclass is for experienced AI users, evaluators, MEL practitioners and consultants who want to build more consistent, team-ready AI workflows for analysis, reporting and evaluation practice.



Our team

Facilitated by

Ethel Karskens

Ethel Karskens is Head of Digital at Clear Horizon and leads Clear Horizon's digital and AI strategies, the digital practice of our consulting services and the development of Track to Change. She cares about creating long lasting impact using an innovative approach. Ethel is passionate about using data and tech for social good: she has worked on complex forensics analytics projects to detect frauds at PwC, product managed social start-ups and founded a not-for-profit to connect data professionals with charities.

Eugene Liston

Eugene is a senior consultant in the Social Impact team with a background in not-for-profit program delivery. He’s passionate about helping people overcome barriers and understands the challenges of balancing delivery with measurement. He has strong experience in program data analysis and enjoys supporting teams to visualise their impact. Eugene also brings an inclusive, empathetic approach to research, including work alongside people with disability. 
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