AI Agents vs. Deterministic Workflows for Repeated Automation
AI agents are useful when the next action is uncertain. Deterministic workflows are stronger when approved work must run repeatedly. Learn when to use each.
Read articlePractical articles about AI-assisted workflow building, browser automation, reliable execution, troubleshooting, and the Runavelo open-source client.
AI agents are useful when the next action is uncertain. Deterministic workflows are stronger when approved work must run repeatedly. Learn when to use each.
Read articleA model dropdown is not a complete BYOM architecture. Portable AI automation must normalize protocols while preserving each provider's real capabilities and limits.
Use AI when reasoning adds value, then run approved visual workflow steps repeatedly without paying a model to rediscover the same actions every time.
An error message names a symptom. Give AI the workflow and execution evidence it needs to identify the root cause, propose a narrow repair, and verify the result.
Turn a plain-English browser task into a visual workflow you can inspect, test, repair, and run repeatedly without surrendering control to a black box.
Running multiple browsers at once is not just a concurrency problem. Session isolation, stopping rules, rate control, evidence, and recovery determine whether it works.
Inspect, run, modify, and contribute to an AI-assisted visual automation client built for editable browser and spreadsheet workflows.