Don’t rush into multi-agent systems: First get one work order running end to end in 21 days
At a quarterly review meeting, a company that makes industrial components had three AI platforms on trial and five use cases under evaluation. When asked, “A customer inquiry email comes in today. From identifying the request and checking inventory to calculating the price and replying with follow-up, how much of that process can AI complete on its own?” the answer was: almost none. This is one of the scenarios in an article published today on our company’s official WeChat account.
The problem rarely lies in model capability; it’s usually the sequence. Investing in a multi-agent architecture while the foundations are still shifting doesn’t make much sense. It’s more certain to pay off if you first take one work order for one role, run it from start to finish, record the entire process, and clearly define its boundaries.
A deliverable work order should clearly specify five things: where the input comes from; which tools and data may be accessed (listed as an allowlist); which steps must pause for human approval; the deliverable and acceptance criteria; and a complete audit trail.
Twenty-one days is just enough to complete the select-run-verify cycle: Days 1–7: choose a role and a work order, and define the boundaries. Days 8–14: run three to five real work orders through the process, focusing on where it stops and whether it stops at the right points. Days 15–21: compare the results against historical work orders and assess the rework rate, whether the audit trail can reconstruct decisions, and whether unauthorized actions were actually blocked. If it fails acceptance, revise only the work order—don’t add use cases or expand to more roles.
This article is based on the post “Don’t rush into multi-agent systems: First get one work order running end to end in 21 days,” published on our company’s official WeChat account. It does not constitute investment advice.
#Web3
At a quarterly review meeting, a company that makes industrial components had three AI platforms on trial and five use cases under evaluation. When asked, “A customer inquiry email comes in today. From identifying the request and checking inventory to calculating the price and replying with follow-up, how much of that process can AI complete on its own?” the answer was: almost none. This is one of the scenarios in an article published today on our company’s official WeChat account.
The problem rarely lies in model capability; it’s usually the sequence. Investing in a multi-agent architecture while the foundations are still shifting doesn’t make much sense. It’s more certain to pay off if you first take one work order for one role, run it from start to finish, record the entire process, and clearly define its boundaries.
A deliverable work order should clearly specify five things: where the input comes from; which tools and data may be accessed (listed as an allowlist); which steps must pause for human approval; the deliverable and acceptance criteria; and a complete audit trail.
Twenty-one days is just enough to complete the select-run-verify cycle: Days 1–7: choose a role and a work order, and define the boundaries. Days 8–14: run three to five real work orders through the process, focusing on where it stops and whether it stops at the right points. Days 15–21: compare the results against historical work orders and assess the rework rate, whether the audit trail can reconstruct decisions, and whether unauthorized actions were actually blocked. If it fails acceptance, revise only the work order—don’t add use cases or expand to more roles.
This article is based on the post “Don’t rush into multi-agent systems: First get one work order running end to end in 21 days,” published on our company’s official WeChat account. It does not constitute investment advice.
#Web3