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NewMeet CoPage

Hi, I’m Daniel.

Ship AI, not pilots.

I’m a Big Four technology consultant who also builds and ships AI products on AWS and Azure. The combination is the point: advice you can hold me to, because I ship it myself.

years shipping software
10+
years shipping software
AI products in production
5
AI products in production
Daniel Semerjyan

CoPage

Early access · free CLI

Documents for the agentic era

CoPage is my main product. Agents prepare and check. People decide, sign and answer for the result. It starts with client decks and architecture diagrams.

  • Agents build decks and diagrams while you watch, every change attributed
  • Your organization's standards run as checks before anything leaves
  • Native PowerPoint, PDF, SVG and draw.io at the end
  • Works with Claude Code, Codex, Cursor and GitHub Copilot
Azure claims-assistant architecture drawn in CoPage: claims portal, API Management and Claims API in a spoke VNet, Azure OpenAI with AI Search, ExpressRoute to an on-premises policy systemOpen copage.app
A real CoPage diagram. A coding agent drew it with the CoPage CLI and the official Azure icons, and it passed every check.

Services

What I do

AI adoption for your organization, a product to ship, or support for your engineering team.

For enterprises

AI adoption that reaches production

I help your engineering organization adopt AI with a delivery plan your teams can put into practice.

  • Use-case assessment and delivery playbooks
  • Team workflows and governance guardrails

For founders & product teams

AI products, shipped end to end

I build your AI product from the first prototype through deployment on AWS or Azure.

  • RAG, agents, and GenAI features
  • Auth, monitoring, and cloud infrastructure

For leaders & teams

Advisory & enablement

I help your team use AI in daily engineering work and make informed architecture decisions.

  • Hands-on training in AI-assisted development
  • Architecture reviews and ongoing advisory

Approach

How I work

I bring Big Four consulting experience and hands-on engineering to each step, backed by nine AWS and Azure certifications.

  1. 01

    Discover & assess

    A clear scope

    We assess the use case and business case, then decide what to build and how to judge success.

  2. 02

    Prototype fast

    A prototype tested with users

    I build a working prototype. We test it with real users before committing to a roadmap.

  3. 03

    Ship to production

    A product people can use

    I deploy the product with auth, monitoring, and cloud infrastructure in place.

  4. 04

    Scale

    A plan for the next release

    We use production feedback to prioritize reliability, cost, and the next features to build.

Honest feedback runs through all four steps.

Book a working session

Writing

Notes from the work

Read how I build with AI, or try the open-source skills in your own work.

All writing
Azure architecture for an AI support agent drawn in CoPage, shown as a white card on a dark canvas: chat API, AI Foundry agent, API Management to on-premises billing
Featured
8 min read

CoPage: documents for the agentic era

Read if agents already draft your documents, but people still sign them and answer for them.

  • CoPage
  • AI Agents
  • Documents
Read article
Open source

Skills for your next build

Install Claude Code skills to develop a business offer or generate and edit images for your product.

Browse materials

Contact

Open to new engagements

Tell me what you’re trying to ship.

An enterprise AI program, a product that needs building, or a team that wants to move faster. A short message is enough to find out whether I can help.

or write tod.semerjyan@gmail.com

Poznań, Poland · working across EU time zones