AI agents
Aigen Blog
Practical notes on AI agents, automation, EU compliance and the workflows that make small teams faster.
17 articles

Aigen Campus: AI training, certificates and a skills register in one service
Aigen Campus trains your whole workforce to use AI: seven modules, a final exam, verifiable certificates, a skills register and your own AI policy.

Aigen Studio is live: documents, websites and publishing in one workspace
Aigen Studio brings small-business documents, website improvements, social publishing and results into one workspace in English and Finnish.
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The Finnish Whistleblower Protection Act in practice: what does a company’s reporting channel need?
Finland’s Whistleblower Protection Act in practice: reporting-channel obligations, deadlines, anonymity, data protection and Ilmoo’s role.
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Reporting faulty streetlights on the commute with Grok in a Tesla
Our employee’s account of reporting faulty streetlights shows how an observation becomes an agent’s task and what businesses need to make it work.
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Aigen CBAM is live: EU requirements and app features
What CBAM requires in the EU and Finland, why we built Aigen CBAM, and how its features help importers prepare the annual declaration.
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The agent can log in. The model shouldn’t see the password.
ChatGPT Work can now sign into websites without the model seeing your credentials. The useful part is the wall.
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Copy that sounds finished gives itself away
Models write more fluently than they used to. Their default voice is also easier to recognise.
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Grok Bot turns an AI agent into a coworker
What happens when an agent gets a computer and a real job instead of another chat window?
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AI agents' biggest problem is not intelligence. It is memory.
The practical bottleneck for AI agents is no longer just intelligence. It is a fast, reliable and user-editable memory layer.
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AI's biggest risk is not hallucinations. It is bad management.
AI's biggest risk is not only hallucination, but using it like an answer machine instead of managing the work it does.
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AI is moving onto your own computer
Local AI brings large models closer to a company's own data, costs and everyday workflows.
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I tendered insurance from five companies and did not open a single offer myself
A practical example of how an AI agent turned five insurance offers and policy terms into one clear comparison.
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We let an AI agent prepare a company tax return
What happens when an AI agent is taken into a real authority form, accounting figures and multi-step back-office work.
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Model comparisons are an easy story. In agent work, workflow decides.
Why companies should look past model hype and build agents around clear workflows, sources, limits and outputs.
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AI stopped being a search engine. Most people did not notice.
AI agents are no longer just answer machines. A well-scoped agent performs tasks, follows changes and removes repeated friction.
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Agents turn multi-step research into a five-minute workflow
A practical example of how an AI agent turns slow tax and data work into a fast, reviewable workflow.
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AI agents are not demos for us. They are part of daily work.
Practical lessons from AI Generation on OpenClaw and Hermes agents, model layers, tools and reliability.