ai & automation
AI in your MVP, only where it works
Proven models, straight into your product. No hype, just something that runs.
$ 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.