Bittensor Subnet

Zapier for Subnets

The Intelligence Layer for Multi-Subnet Composition. Turn any complex AI task into an optimized multi-subnet workflow effortlessly.

How It Works

Decentralized Orchestration

01

Describe a Task

User submits a complex AI task — code generation, RAG, agent workflow, or data transformation.

02

Miners Compete

Miners design optimized multi-subnet workflow DAGs. Each plan routes work across specialized subnets.

03

Validate & Reward

Validators execute, score on success/cost/latency/reliability, and reward the best orchestration strategies.

Orchestration Examples

Real-world AI Workflows

WorkflowTriggerSubnet PathFinal Result
Content Multi-GenRaw Transcript
Subnet 1 (STT) → Subnet 11 (LLM) → Subnet 19 (Image)
Video script + Blog + Thumbnails
RAG EnginePDF Query
Subnet 13 (Retrieval) → Subnet 11 (LLM Summarization)
Verified Answer
Autonomous AgentCode Request
Subnet 11 (Planner) → Subnet 18 (Execution) → Subnet 3 (Search)
Debugged Code Repo

Scoring Formula

Score = 0.50xSuccess + 0.25xCost + 0.15xLatency + 0.10xReliability

Success50%

Output quality x completion ratio — did the workflow produce correct results?

Cost25%

Budget efficiency — how much TAO was spent vs. the maximum allowed?

Latency15%

Speed — how quickly did the workflow complete vs. the deadline?

Reliability10%

Fault tolerance — how few retries, timeouts, or failures occurred?

* Success gate: Cost & latency only count if success > 70%

Emission Structure

Emission Flow

ΔαOwner18%Miners41%Validators + Stakers41%

dTAO Alpha token model — TAO injected into AMM pool, Alpha distributed via Yuma Consensus

Network Stats

Active Miners

10

Active Validators

3

Tasks Evaluated

2,140

Current Tempo

123

123 x 360 blocks

Current Block

6,804,586

FAQ

What is C-SWON?

C-SWON stands for Cross-Subnet Workflow Orchestration Network. It's a Bittensor subnet that allows users to execute complex tasks by chaining multiple specialized subnets together automatically.

How do miners earn rewards?

Miners earn rewards by designing the most efficient and successful execution plans (DAGs) for user tasks. They are scored based on success rate, cost efficiency, latency, and reliability.

Is it fully decentralized?

Yes, C-SWON leverages Bittensor's decentralized infrastructure, where validators ensure the integrity of workflow execution and miners compete in an open marketplace.