Model‑Fine‑Tuning Concierge 🤖
Most small teams don’t want to figure out GPT-4, embeddings, or fine-tuning. You package it up.
Concept
Most small teams don’t want to figure out GPT-4, embeddings, or fine-tuning. You package it up: “We’ll clone your tone of voice, train on your docs, and deploy a private chat model.” White-glove setup, $499+.
Micro‑Capex Stack
- $100 Hugging Face or OpenRouter credits
- ChatGPT or Claude to bootstrap configs
- Google Slides to pitch services
48‑Hour Validation
- Identify 3 small agencies or niche brands with content-heavy ops.
- Cold-email or DM: “Want your own AI trained on your business?”
- If one bites and pays a deposit, you’re good to build.
Service Flow
- Intake: collect knowledge base, tone samples, and Q&A examples
- You clean the data, prep for fine-tuning
- Deliver: hosted chatbot, plus optional Slack or site integration
Scale Plays
- Sell tiered plans (e.g., $499, $999, $2,500) based on scope
- Partner with no-code SaaS builders (they need this)
- Turn top use cases into verticalized bots (law firm AI, real estate AI, etc.)
Pitfalls to Dodge
- Overbuilding—don’t let clients scope-creep into dev hell
- Data liability—use NDAs or encrypted hosting options
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