Kristian Fagerlie builds a browser-based research workflow that collects context from several Reddit communities. He tests navigation and summarization, grounds the agent in the current date and turns the successful sequence into a reusable skill.
Kristian Fagerlie reruns the skill, fixes a browsing error and incorporates that learning into the workflow. He then tests an additional search on X, treating the resulting sentiment summary as one contextual data point rather than a proven trading signal.
Kristian Fagerlie's main lesson is to capture a tested workflow so subsequent runs can reuse its tools and corrections. The demonstration reports a faster second pass but does not establish reliable investment performance or remove the need to validate sources and agent actions.
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