ai & automation

AI in your MVP, only where it works

Proven models, straight into your product. No hype, just something that runs.

~/mvp · zsh
$ oggel ai --integrate
✓ openai
✓ claude
✓ gemini
// proven tools, straight into your product
$
openai chatgpt claude midjourney gemini copilot
2 wks From idea to working MVP
€4.999 Fixed price, fixed scope
1 Point of contact, no layers
the tools

What I integrate directly

Six tools, one API layer in your codebase.

OpenAI

GPT, DALL·E and Whisper behind one API.

GPT-4 Whisper

ChatGPT

Support and onboarding that actually answers.

Chatbot Support

Claude

Reads, summarises and searches long documents.

Long context Documents

Midjourney

Visuals and UI concepts from a prompt.

Visuals Concepts

Gemini

Multimodal, strong inside the Google ecosystem.

Multimodal Google

Copilot

Faster writing and review across Microsoft 365.

Microsoft 365 Code
where it pays off

Three places AI pays for itself

The question first, then the model
If AI adds nothing here, I build it without.
  • Work that repeats

    Forms, mails and documents nobody enjoys doing.

  • Questions that keep coming back

    An assistant on your own documentation.

  • Data without an overview

    Classify, summarise, make it searchable.

get started

AI in your MVP?

Tell me what you want to achieve. I will say honestly whether AI is the answer.