> an agent has to perform the targeted tasks internally: they "dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks".
> What most agent startups are currently building is not agents, it's workflows, that is "systems where LLMs and tools are orchestrated through predefined code paths." Workflows may still bring some value
While this viewpoint will likely prove correct in the long run, we are pretty far away from that. Most value in an Enterprise context over the next 3-5 years will come from embedding AI into existing workflows using orchestration techniques, not from fully autonomous agents doing everything end to end "internally".
> Most value in an Enterprise context over the next 3-5 years will come from embedding AI into existing workflows using orchestration techniques...
But this is already happening and it gives no value what-so-ever. Smacking AI on existing workflows just creates bloat. Is anyone using Apple Intelligence, MS Copilot or some Gmail LLM addons?
Agents don't have to be fully autonomous, they just have to work well with humans.
> What most agent startups are currently building is not agents, it's workflows, that is "systems where LLMs and tools are orchestrated through predefined code paths." Workflows may still bring some value
While this viewpoint will likely prove correct in the long run, we are pretty far away from that. Most value in an Enterprise context over the next 3-5 years will come from embedding AI into existing workflows using orchestration techniques, not from fully autonomous agents doing everything end to end "internally".