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Collecting prompts and testing new models is easy, but actually turning them into reliable day-to-day workflows is where most people get stuck. It feels like everyone has a dozen browser tabs open with different tools, yet very few tasks actually run end to end without manual babysitting. Building a true system usually gets derailed because the tools are scattered instead of connected to the actual work. What has been the hardest part for you when trying to move from testing prompts to running an actual automated workflow?

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A single assistant knows your entire background and tone, but once the context gets too long, it starts hallucinating or ignoring instructions. On the other hand, managing six different bots for outreach, research, and drafting feels just as fragmented as having no system at all. For the core repetitive tasks in your business, have you found it better to consolidate everything into one primary agent, or do you get cleaner outputs keeping them strictly siloed?