> For the complete documentation index, see [llms.txt](https://docs.konnex.world/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.konnex.world/subnets-workload-classes/subnets.md).

# Overview

A **subnet** in Konnex is a **workload class**: a real commercial pattern (aerial inspection, manipulation, 3D mapping) with a defined input schema, scoring function, and open miner competition. The design follows the same coordination **shape** as [Bittensor](https://docs.learnbittensor.org/)-style subnets, while Konnex specializes verification for physical evidence, not only statistical text quality.

## Testnet: three live subnets

| Subnet               | Role                                                                                               |
| -------------------- | -------------------------------------------------------------------------------------------------- |
| **Drone navigation** | Vision–language flight; scoring on task match, safety, and execution                               |
| **Roboarm VLA**      | Text-directed VLA manipulation (bi-manual, kitchen-grade examples); safety, task match, efficiency |
| **SLAM 3D map**      | Sensor bundles; mesh / semantic map quality vs ground truth                                        |

**Dashboard URLs** for each workload will be published in official release notes when they are finalized. **Get started:** [testnet quest flow](https://subnets.testnet.konnex.world/quest) and release notes.

Signed enterprise counterparties participate in these workload classes; full commercial runs may still live in private environments while the public chain proves verification and the roadmap advances mainnet settlement. The testnet is the place to try the [Proof-of-Physical-Work](/understand-konnex/contracts-and-popw.md) loop end to end.

## How a subnet is structured (conceptual)

* Task schema and prompt format
* KPIs and verifier checks (simulation, replay, sensor signatures, held-out data)
* Scoring weights and reward split (testKNX on testnet; design target includes stablecoin settlement on mainnet per the [roadmap](/understand-konnex/roadmap.md))
* APIs and binaries for miners and validators (see the [SDK](/sdk/sdk.md) and [konnex-network on GitHub](https://github.com/konnex-network))

## Pages in this section

* [Drone navigation](/subnets-workload-classes/drone-navigation.md)
* [Roboarm VLA](/subnets-workload-classes/roboarm-vla.md)
* [SLAM 3D map](/subnets-workload-classes/slam-3d-map.md)

## Related reading

* [Proof-of-Physical-Work](/understand-konnex/contracts-and-popw.md)
* [Mining](/participate/mining.md) · [Validating](/participate/validating.md)