AI automation, agent systems, and operating loops
AI systems for work that needs judgment.
I design and build practical AI automation for enterprise teams: agent workflows, review loops, local-first tools, and systems that make human decisions easier instead of pretending to replace them.
Personal AI Assistants Are Worth the Setup
The hard part is not the model. It is identity, memory, permissions, tools, and a workspace where the assistant's work stays visible.
Automation and operating systems inside real company workflows.
Campaigns, reporting, analytics, and growth systems with numbers attached.
Local-first tooling, private workflows, and practical agent interfaces.
MSc Economics & Business Administration
Connected workflow
Disconnected work surfaces become one reviewable system.
The useful version is not one model in a box. It is LLM workflows, CRM data, Salesforce context, approvals, reporting, and team memory connected into a system an operator can actually trust.
In the room
Good systems survive contact with the people who use them.
Useful AI is rarely a standalone chatbot. It is a loop across Slack, files, browsers, calendars, documents, local machines, approvals, and the quiet exceptions people forget to mention until the system breaks.
- contact@maresmichael.com
- Location
- Prague, Czechia
Personal AI Assistants Are Worth the Setup
The hard part is not the model. It is identity, memory, permissions, tools, and a workspace where the assistant's work stays visible.
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