Use cases
This collection grows with every hackathon. Each use case describes the problem and the format that gets a team to a working prototype in one week.
Built for
Use cases
Concrete use cases from real hackathons. Each one comes with the problem and what the format covers.
Antwort-Assistent
Triage
The problem
Inbox and chat eat the day. Replies take long, commitments get lost, context sits in five tools.
What the format covers
The format covers a reply assistant in your tone, priority triage and a daily briefing from mail and chat.
Board Update
autoZeit
-2 Tage
Quellen
6
The problem
Numbers are collected by hand, summaries rewritten, the board update costs two days.
What the format covers
The format covers data pulls, automated analysis and a board-ready update your team maintains itself.
The problem
Strategy, policies and playbooks are scattered. New colleagues ask people instead of systems.
What the format covers
The format covers an internal knowledge bot on your approved documents, including permissions and IT handoff.
Next step
Book a discovery call directly, we clarify goal, format and date in the call.
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FAQ
Inbox and chat consume the day. In the hackathon this becomes a reply assistant with priority triage, brand voice and daily briefings.
Manual reporting is translated into an automated workflow that pulls data, summarizes it and prepares a board-ready update.
Scattered policies, playbooks and strategy documents become an internal knowledge bot with clear permissions and IT handoff.
You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.
You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.
We work with the stack that fits you — LLM APIs, automation and data platforms, and your existing systems.
Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.
All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.
You get a documented handoff: prototypes, setup, open items and a recommendation on which results deserve to go to production.
We define target metrics before the sprint — hours saved, cycle time, quality or revenue contribution — and review them in the closing session.