# Pick verify pack and dispatch orders

> As of 2026-10-22, AI does this work at L1 Assisted. 1 update bears on it. Strongest evidence: From the publisher only.

Market: [Warehousing and order fulfillment](https://surviagi.com/markets/freight-logistics-warehousing)

Held by a non-technical condition: Physical Presence. The level above is what the evidence supports. Whether the work may be handed over is a separate question.

## How it got here

It first reached L1 on 2026-10-22. Each time the strongest evidence rose, by the date of the update or post. These are the dates the evidence carries, not when it was collected.

- 2026-10-22 · Tencent · [Tencent Hunyuan introduces WorkForge framework for verifiable agent training environments](https://surviagi.com/updates/ev-e4a796fd156e8406ad697670246b6418b502fab0): L1 Assisted

## What moved it

Every update that bears on this work, newest first.

- 2026-10-22 · Tencent · [Tencent Hunyuan introduces WorkForge framework for verifiable agent training environments](https://surviagi.com/updates/ev-e4a796fd156e8406ad697670246b6418b502fab0): L1 Assisted · From the publisher only · [Source](https://x.com/TencentHunyuan/status/2113196619667763211)
  Tencent Hunyuan presented WorkForge, a framework that builds verifiable training environments for long-horizon work agents from real-world resources, scaling to 16.7K environments across 40 domains.

## More work in Warehousing and order fulfillment

- [Count inventory and manage warehouse conditions](https://surviagi.com/work/freight-logistics-warehousing-warehouse-control): L2

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Page: https://surviagi.com/work/freight-logistics-warehousing-picking-packing

Data generated 2026-10-22T12:15:54.158556+00:00; method activity-level-1; ontology 2.4.0.
Machine-proposed: no person has reviewed these readings, and the method is not calibrated.
Cite the page address together with the generation time.