FikolasAI guide
The FikolasAI method for creating a useful AI Agent.
The method is simple: do not start from the tool, start from a precise business problem.
Friction audit
We identify where time, money or energy is actually leaking.
Framing one use case
We choose one priority topic with a clear expected output.
Build and test
The agent is built quickly, tested on your examples, then adjusted with you.
Adoption and support
Any post-delivery support period and its scope are defined in the accepted proposal.
Quick answer
The FikolasAI method turns a precise task into a testable system.
It follows six decisions: choose the task, define the expected output, limit the data, set the review process, test representative cases, then document usage and limits.
Controlled inputs
Identify documents, fields, access rights and prohibited information before connecting any tools.
Checkable output
Describe the expected result with acceptable examples, errors to detect and a responsible reviewer.
Moving into daily use
The documentation explains when to use the agent, when to stop it and how to report an incorrect output.
Limits and conditions
Value depends on the original process, available data, adoption and human review. The method does not guarantee business results, full autonomy or general compliance.
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