AI agent selection checklist: seven questions before buying
Why seven questions All seven questions are not an invented framework but the eight fields of the agent passport that the site fixes for every launch: task,…
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AI agent or chatbot: what actually changes
The main difference is not autonomy but the form of responsibility A breakdown of the concept without anthropomorphism. In interfaces the word 'agent' is often…
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Agent, subagent and human: where the automation boundary runs
Three levels of responsibility The agent — an endtoend scenario: inputs, stages, tools, a verifiable artifact. Example: the CustDev agent from interviews to an…
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Demo run before implementation: look at the result, not the promises
What the demo shows The stages of the process and their states: what the agent takes in, what it does, what it returns. The form of the result: a report,…
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Who needs an AI agent: four roles and their results
The criterion is the process, not the position The useful question is not "who needs an agent" but "which process repeats and scales badly". The signs of such…
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Cloud, team or local perimeter: how to choose the execution environment
What an execution perimeter is The perimeter is the answer to three questions: where the data is processed, who besides you can see it and which actions are…
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How much does it cost to implement an AI agent: three engagement models
Three engagement models The pricing page fixes three formats. The choice depends on the task, the data and the infrastructure requirements. Format Launch price…
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First step
Choose a ready-made solution or describe your process.
Pick one of the twelve agents and subagents, or fill in the questionnaire for custom development.