It’s giving it enough context to actually do something useful. I’ve tried a few different agent/workflow setups recently, and I keep running into the same problem. The demo looks great: Eg: Research these companies, compare them, summarize the findings and make a report. But once you actually use it, you end up babysitting the thing: explaining what sources to use fixing the research direction telling it what the output should look like copying information between different tools checking whether it actually finished everything At that point I’m not sure if I’m using an agent or just supervising a very enthusiastic intern. What I actually want is something closer to: Here’s the goal; figure out the steps; do the research; use the tools; organize everything; give me something I can actually use. I’m curious what people here are actually using for this kind of workflow. your own agents with n8n / Python / MCP etc., or are there platforms that already handle more of the workflow for you? submitted by /u/Royal-Divide-7683
Originally posted by u/Royal-Divide-7683 on r/ArtificialInteligence
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