AI Quickwins Demo
On Fridays. 20 minutes. Practice-relevant AI use cases
Concise live demos of real AI applications. No theory — just practice-relevant approaches and examples you can apply effectively in your day-to-day work. From more effective prompting and automated specifications to ROI prioritisation.
Efficient prompting: fewer follow-ups, better results
Often the tool isn't the problem, but the question. In 20 minutes, we'll show how simple structures (context, goal, format, criteria) lead to reliable answers faster. With short examples for specifications, support, proposals and internal documentation – including formulations you can adopt directly.
All Demo Dates
Efficient prompting: fewer follow-ups, better results
Often the tool isn't the problem, but the question. In 20 minutes, we'll show how simple structures (context, goal, format, criteria) lead to reliable answers faster. With short examples for specifications, support, proposals and internal documentation – including formulations you can adopt directly.
From conversation to specification: less rework, more clarity
After meetings, the real work often begins: gathering decisions, clarifying to-dos, creating specifications. We'll show how to derive to-dos, decisions and clean specifications from a call in minutes – directly as Markdown. Ideal for teams who want to get from 'discussed' to 'implemented' faster.
Order instead of folder frustration
When information is scattered across files, wikis and PDFs, 'quick lookups' quickly cost too much time. We demonstrate how questions are answered from your data – traceable and with sources. Especially helpful for tech/service, project teams and procurement when reliable information needs to be quickly available.
Where AI really pays off: processes leaner, faster, clearer
Many AI ideas, little clarity on where to start? In 20 minutes, we'll show a proven method to prioritize processes and use cases – by ROI, risk and feasibility. Goal: a clear starting sequence that brings measurable benefits quickly (and avoids typical false starts).
Status chaos in projects? Connect requirements and tasks consistently
Backlog chaos often occurs because tasks and specifications diverge. In this demo, we show ara-cli as a lean open-source CLI for developer teams: requirements and work packages are organized as linked artifacts in files – from business goals through features and user stories to tasks with to-dos. Plus, see how prompt templates/chat in the terminal support refinement and documentation.
From notes to testable requirements: fewer loops in the team
Unclear requirements lead to misunderstandings, rework and late changes. We'll show how testable specifications can emerge from notes, stories or information from calls. Result: clearer acceptance, fewer queries and a reliable starting point for implementation.
Specification done – implementation slow? Click to generated code
Many teams test code generation but fail on consistency and maintainability. In this demo, you'll see how consistent, project-compliant code can emerge from a testable specification – focusing on delivery speed without quality loss. Especially relevant for CTOs, tech leads and teams with clear code standards.
Testing eats time? Generate tests automatically
Faster delivery only works with stable regression protection – but tests cost time. We'll show how test cases are derived from specification and code and how CI integration can be supported. Goal: less risk, better predictability and releases without constant firefighting.
Format & Target Audience
What to expect
- ✓20-minute compact live demo
- ✓Every Friday at 2:15 PM
- ✓Online via Jitsi (browser-based)
- ✓Practice-relevant solutions
- ✓Q&A at the end of each session
- ✓No registration required
Who is this relevant for?
- →CEOs & Decision Makers
- →Project Managers & Product Owners
- →Developers & Tech Leads
- →Service & Support Teams
- →Anyone who wants to use AI practically
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