Optagonen
Agent-assisted workflows run key parts of the operation: website, content, bookings and workshop logistics for creative school workshops. Public proof: 500+ workshops since 2015, 150+ municipalities, 2,000+ students.
optagonen.selive businesses · real automation
AI automation for websites and operations.
I build agent systems for real businesses: websites that publish, booking flows that qualify demand, music tools that analyze tracks, support workflows that answer customers, and e-commerce operations that monitor products, SEO and competitors. The proof is live across Optagonen, Mixanalytic and Cigge — and the terminal on this page runs against this site's real public MCP. Start with one workflow.
uygarduzgun.com — public MCP
scope: public.read…
3companies in production
27tools behind auth
500+pages by workflow
10locales automated
4public read-only tools
Three live businesses. Three different kinds of automation.
This is not one demo wrapped in a landing page. These are active systems in education, music tech and e-commerce.
Mixanalytic
AI music analysis product in production — upload flow, 21 analysis modules, customer support and algorithm feedback loops. Public proof: 34,000+ tracks analyzed, 5,400+ registered users, 4.8★ from 143 reviews.
mixanalytic.comCigge
Agent-first e-commerce operation covering product and content workflows, SEO, repetitive admin and competitor monitoring around a live storefront. Details are intentionally limited because this is an active retail operation.
www.cigge.se// live architecture
This is the pipeline that writes this site.
Twelve agents, real feedback loops, one draft-first rule: nothing publishes without a review point. Click any agent to see its job — this is the same flow I run from my admin panel.
→←
→ review← revise
→
SC Intelligence
3 keyword opportunities found · avg position 12.4
// under the hood
The pipeline is only the top layer.
Underneath sits a full agent infrastructure: an MCP server architecture with machine-readable discovery, a public read-only endpoint, and write-capable tools separated behind their own keys. Every workflow on this site — content, SEO, translation, publishing — runs through these layers.
How the MCP architecture worksAgent card
publicMachine-readable discovery — AI agents find out what this site can do without asking.
API catalog · llms.txt
publicOpenAPI metadata, markdown rendering and docs built for crawlers and agents.
Public MCP
publicThe read-only endpoint the terminal above is talking to. 4 tools, no credentials.
Customer API
🔒 key requiredScoped pilot workflows — one workflow per private key, rate-limited, draft-only.
Owner MCP
🔒 owner key27 write-capable tools: content pipeline, SEO, translation to 9 languages, images, publishing.
Admin API
🔒 admin onlyDirect blog, settings and pipeline operations. Never exposed to agents or customers.
// no forms, no calendly maze
Skip the contact form. Brief my agent instead.
Three questions. Leave your email at the end and the brief goes straight to Uygar. A human answers, usually within a day. Scoping calls are free.
This agent is deliberately scripted — the live AI runs behind auth, where it belongs. That boundary is the whole pitch.
UA
Uygar's booking agent
● online — scripted, zero LLM cost
// faq
The short version
You don't need a big AI project. You need one useful workflow that stays under control.
Read the technical write-upDo I need to be an enterprise company?
No. A good first project can be as small as a website that needs SEO drafts, page updates, lead follow-up, support replies or product text. Enterprise teams usually need more review, logging and integration work.
What can a normal website owner automate first?
Start with tasks around the website: turning notes into drafts, improving existing pages, writing FAQ sections, finding internal links, summarising enquiries, preparing newsletter drafts or creating SEO briefs.
Is anything write-capable open to the public?
No. Public discovery is read-only. Any workflow that creates, updates, publishes, translates, generates images or spends AI budget requires a private key.
Who is already running these patterns?
Uygar is — he's the AI automation consultant behind all three businesses on this page. Optagonen uses agent-assisted workflows around content, bookings and workshop operations. Mixanalytic uses AI systems for music analysis, customer support and algorithm feedback. Cigge is an agent-first e-commerce operation where many repetitive product, SEO and competitor workflows are automated, with internal details intentionally limited.
What does a pilot cost?
Pilots and advisory engagements are fixed-price after scoping. The price depends on the workflow, integration depth and review needs. Discovery calls are free.
How long does a pilot take?
Most pilots ship in 2 to 4 weeks. Scoping and key issuance in week 1, first reviewable output in week 2, and iteration or handover in weeks 3–4.
What does a first pilot usually include?
Usually one content, SEO, website, e-commerce or internal operations workflow. It must have a clear input, useful output and a review point before it can expand.
Can technical teams review the architecture?
Yes. There is a technical proof article that explains the discovery layer, MCP split, auth model and private workflow boundaries. Code-level questions are welcome before signing.
// your move
Want part of your business to run like this page?
Send the website, the bottleneck or the architecture question. I'll tell you if it should be a small automation, a scoped build — or left alone.
Based in Gothenburg, Sweden. Working with European and global teams.