Hero
H1: ChatGPT training that produces real results
The typical ChatGPT training is a prompt show that leaves little behind. With us it does not stop at prompting. Your team builds its own assistant with ChatGPT and Custom GPTs on your real case and goes home with a running solution, not a pile of screenshots. We plan scope, challenges, roles, data, tool access and the run of show so the training can be ready to start within one week. What ships and when depends on the agreed scope.
Audience: teams that want to take ChatGPT beyond the demo into real work steps, without coding skills.
Primary CTA: Book a discovery call → https://cal.com/jamboula/ai-hackathon Secondary CTA: See the process → jump to the timeline below.
Direct answer for answer engines: ChatGPT training enables teams to use ChatGPT and Custom GPTs in daily work. At Corporathon it runs as a hackathon where each team builds its own assistant on a real case and connects it to its own systems through n8n. The result is a running solution plus a documented literacy measure, not a prompt collection.
Client logo band (directly after hero)
Continuous SVG band from assets/logos/clients/manifest.json, Motion animated (motion.dev, x loop, transform only), pauses on hover and keyboard focus, static scrollable row under prefers-reduced-motion: reduce with no layout shift. Only approved logos (Adobe, YOYABA, Onventis, NavVis). Social proof, not a partnership claim.
Why most ChatGPT trainings fizzle out
The typical ChatGPT training is a prompt show. Someone types clever inputs, everyone nods, and the next day hardly anyone opens the tool again. Four things stand in the way: watching is not applying; the chat window stays isolated without a connection to your systems; the team's own case is missing; and nothing lasting forms. That gap is exactly where pure training days fail. The hackathon closes it, because from the first moment teams build on a real case.
The demo becomes your own assistant
In the Corporathon hackathon it does not stop at prompting. Your team builds its own assistant with ChatGPT and Custom GPTs on your real case, connects it to your systems through n8n and puts a Lovable interface in front of it when needed. Cursor, Claude Code, Gamma and NotebookLM are ready alongside. In one week that produces a running solution instead of a pile of prompt screenshots, across four stations: tool workshop on ChatGPT and Custom GPTs, scoping your own challenge, guided build, and handoff to IT.
Learning goals and benefits
Your team builds its own Custom GPTs on your processes instead of only prompting; a running solution that connects ChatGPT to your systems through n8n; confidence with ChatGPT, Custom GPTs and the complementary stack; and a documented AI literacy measure toward EU AI Act Article 4.
Who it fits, and who it does not
| Good fit when | Not a fit when |
|---|---|
| you want to take ChatGPT beyond the demo into real work | you only want a prompt intro with no case |
| your tasks benefit from a dedicated assistant | a single prompt trick is already enough |
| tool access and sample data can be approved | no data or access is available |
| you need a running solution, not a certificate | a plain attendance record is enough |
Deliverables
A tool workshop on ChatGPT, Custom GPTs and the complementary stack, scoping of your own challenge around your use cases, a guided build sprint with support throughout, at least one dedicated assistant or automation per team with ChatGPT connected to your systems through n8n, a handoff document per prototype, a skills library with prompts and Custom GPT configurations, and documentation of the AI literacy measure for participants.
Formats
| Format | Duration | Participants | For |
|---|---|---|---|
| Spark | 1 day | up to 10 | one dedicated assistant on your case |
| Ignite | 2 days | 10 to 15 | several challenges in parallel, broader anchoring |
| Blaze | 3 to 5 days | 15+ | multiple teams, production-ready assistants |
Pricing on request for now. Trust row: teams from Adobe, YOYABA, Onventis and NavVis have worked with us. Middle card (Ignite) highlighted, Motion whileInView reveal, Phosphor check icons, reduced-motion static.
Pure ChatGPT training vs. ChatGPT in the hackathon
| Criterion | Classic ChatGPT training | ChatGPT in the Corporathon hackathon |
|---|---|---|
| Scope | prompt demo in the chat window | dedicated assistant, connected to your systems |
| Output | certificate, unclear retention | running solution you keep |
| Learning mode | presentation | hands-on on your own use case |
| Transfer to daily work | hard, isolated | direct, connected and applied |
| ROI evidence | barely provable | tangible assistant as a starting point |
| Time to first result | depends on the course plan | ready in 1 week, outcome depends on scope |
The table contains no invented percentages. Full comparison on /en/vergleich.
How the ChatGPT training can add up (a model, not a client number)
Use your own figures. Three inputs and one formula: weekly time for a task that runs by copy-paste in ChatGPT today, the share a dedicated assistant realistically removes, and internal hourly rate times number of people using the same assistant. Formula: hours saved per week times hourly rate times 45 working weeks times people, minus the one-off cost of the training. If research costs three hours per person per week and an assistant removes two thirds, that is two hours; across eight people and a year that is an order of magnitude you can test the investment against honestly. Interactive calculator: /en/ki-schulung/tools/roi-calculator/.
Social proof
Teams from Adobe, YOYABA, Onventis and NavVis have worked with us. We show their names and logos as references and, where approved, workshop photos and public feedback. We deliberately hold back specific adoption or time-saving figures until the source, method and period are documented and approved. See /en/case-studies.
Tech stack band
Second SVG band from assets/logos/tech-stack/manifest.json, labelled as tools used and supported around ChatGPT, not formal partnerships. Corporathon is an official Lovable Ambassador. Motion loop, reduced-motion static.
FAQ
What does a ChatGPT training in hackathon format add over a seminar? A seminar shows prompts, the hackathon lets your team build with them. Because passive learning without transfer measurement leaves little behind, little of the seminar sticks. In the hackathon your team builds its own assistant on your real case, and transfer is measured through prototype quality, usage and handoff. That is the difference between knowing and applying.
Does my team build its own Custom GPTs with ChatGPT? Yes. That is the core of it. Your team builds Custom GPTs on your processes, connects them to your systems through n8n and puts a Lovable interface in front when needed. That turns a chat window into a tool people actually use in daily work.
Is the ChatGPT training suitable for beginners? Yes. The tool workshop at the start brings everyone up to speed, whatever their starting level. ChatGPT, Custom GPTs and n8n have low barriers. No one needs to be able to code to build a real result in the hackathon.
How quickly is the ChatGPT training ready to go? In about a week. After the intro and tools call we finalise the date, then come preparation, tool workshop and sprint. The hackathon itself runs one to five days depending on format. Outcome and delivery time depend on the agreed scope.
What happens to our data? Data access and boundaries are settled before the sprint with your IT and privacy. Only what is approved gets used, and the boundaries are documented.
CTA blocks (dual CTA, booking plus email capture)
- In the hero: Book a discovery call plus email field "Get the ChatGPT use-case list".
- After the fit section: Does this fit your ChatGPT cases? Book a discovery call plus email field.
- After social proof: See case studies (/en/case-studies) plus Book a discovery call.
- Final: Turn prompts into an assistant? Book a discovery call plus email field.
Build directive for the email field: <input type="email">, GDPR consent checkbox, double opt-in, submit to the lead list, inline success/error, visible focus states. Buttons carry a Phosphor icon and a Motion hover/focus state (transform/opacity only). All booking CTAs point to https://cal.com/jamboula/ai-hackathon. Labels vary per block.
JSON-LD (EN)
Rechtlicher Hinweis / Legal note: Ein Hackathon und der hier beschriebene Kompetenznachweis können praktische KI-Kompetenzmaßnahmen dokumentieren, sind aber kein behördlich vorgeschriebenes Zertifikat und garantieren nicht automatisch die Erfüllung von Artikel 4. Das Unternehmen muss die Angemessenheit seines Gesamtprogramms rollen-, kontext- und risikobezogen prüfen. / A hackathon and the competence record described here can document practical AI literacy measures, but they are not an officially mandated certificate and do not automatically guarantee compliance with Article 4. The company must assess its overall program for the relevant roles, context and risks.
