Anna
Gorodetskaya
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Portfolio — AI & Automation

AI-native workflows,automated production,custom tools.

AI-native workflows, automated production and custom tools. I decide where the machine takes the repeatable work, where a person decides, and what happens at the point between them.

Where AI does the work

  1. 01

    AI workflows

    Projects where AI sits inside the production line: content, research, image and video generation, editorial workflows, and the checks that keep the output publishable.

  2. 02

    Automation

    Projects where repeated operations stopped being done by hand: migration, data transformation, publishing, CMS automation, and the scripts and agents that carry them.

  3. 03

    AI for creative production

    Visual work made with generative tools, where the method is the argument: image workflows, AI video, historical reconstruction, pre-production. The image is the output; the method is the work.

Who this is for

  1. 01

    Content, editorial and marketing teams

    The same production runs every week and costs a person a day of it. I build the system that takes the repeatable part.

  2. 02

    Independent founders and authors

    There is no team to hand the volume to, so the system has to carry it.

What I can do for you

  1. 01

    Redesign how the work gets done

    Map an existing production line and rebuild it: what's automated, where the approval gates sit, and who owns the result.

    Workflow maps · Approval gates · AI agent design · Validation rules

  2. 02

    Automate what eats the week

    Take the operation that runs every week — migration, publishing, exports, monitoring — and turn it into something the team runs by itself.

    Automations · Migrations · Publishing bots · Data transformation · Monitoring

  3. 03

    Produce content with AI

    Set up AI-assisted content production a real audience will read: research, briefs, drafting, visuals, localisation, publishing and the review between them.

    AI content pipelines · Research workflows · Generated visuals · Localisation · Editorial review

What this covers

  1. 01

    Workflow Design

    I map the production line first — where material comes from, who signs it off, what breaks — then decide what's worth automating. Most of the value sits in the approval gates, as at The Difference Machine.

  2. 02

    Production Automation

    Removing the repeated operation: migrations, transformations, publishing routines, scheduled distribution, monitoring. Arts of the Working Class moved 1,100 articles and 3,000 files this way.

  3. 03

    Custom Tools & Agents

    Small purpose-built tools, not another platform to administer: an assistant a team talks to from where they already work, or a product built as guided conversation, like Clariozo.

  4. 04

    Editorial Control

    What makes AI output publishable: verification steps, source discipline, a house voice that survives generation, and a human name on the decision. The Pipeline is run this way.

How I work here

Every step is either repeatable or a judgment call.

Which steps are repeatable, and which are judgment? The repeatable ones get a pipeline. The judgment ones get a gate with a person's name on it. That is what keeps the output usable.

Next

Doing the same operation by hand every week?

Write to me about your project. I'll come back with a way to do it, or with questions if something's unclear.