flywheel-ai/agency-ops
The flywheel-ai/agency-ops model is a 35.1 billion parameter language model fine-tuned from Qwen/Qwen3.6-35B-A3B by Flywheel by OpSpot. This model is specifically optimized as a vertical AI-employee for agency operations, focusing on tasks like lead generation, client onboarding, proposal generation, and workflow management. It excels as an operator and advisor for AI-automation agencies, providing specialized support for business processes. The model has a context length of 32768 tokens and is available in safetensors and GGUF formats.
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Overview
The flywheel-ai/agency-ops model is a 35.1 billion parameter, open-source vertical AI-employee model developed by Flywheel by OpSpot. It is fine-tuned (LoRA) from the Qwen/Qwen3.6-35B-A3B base model, specifically tailored for the agency-ops domain. This model functions as a sharp operator and advisor for AI-automation agencies.
Key Capabilities
- Specialized Agency Operations: Optimized for tasks such as lead generation and qualification, discovery and scoping, pricing and packaging, proposals and SOWs, client onboarding, and building/shipping agent workflows.
- Business Process Support: Handles tooling and integrations, delivery/QA, support and retention, and general agency management.
- Synthetic Data Training: The v1.0 model is trained on synthetic seed data authored by permissively-licensed local models (Apache/MIT teachers only), ensuring no distillation from closed models.
- Guardrails: Includes a guardrail to defer to qualified professionals for legal, financial, and tax advice.
Good For
- AI-automation agencies seeking an intelligent assistant for operational tasks.
- Automating and streamlining various stages of client engagement and project delivery.
- Generating specialized content related to agency business processes.
Technical Details
- Base Model: Qwen/Qwen3.6-35B-A3B
- License: Apache-2.0
- Formats: Available in
safetensors(for transformers/vLLM) andmodel-q4_k_m.gguf(for llama.cpp/Ollama).