SoloOps AI: a local AI that catches the free work clients sneak into your project

Description and use

SoloOps AI helps freelancers detect and document new requirements, preventing untracked work and revenue loss.

Problem

Freelance developers often accept small scope‑creep requests (e.g., “add login with WhatsApp OTP”) that are not billed, causing lost revenue.

Outcome

SoloOps AI captures scope‑creep requests, provides evidence‑based verdicts, and ensures only approved work is billed, protecting freelancers’ revenue.

Workflow

• Receive client message
• LLM compares message to agreed requirements
• LLM returns JSON with verdict, effort range, and quoted requirement
• Human reviews LLM output and confirms effort
• Server computes price
• Proposal is frozen with content hash
• Client approves the proposal
• Tasks are created and logged
• GST invoice draft is generated and issued

Evidence

SoloOps AI is an open-source operations assistant for solo freelance developers and small freelance teams. It links every piece of work to an approval and an invoice: Client → Project → Requirement → Change Request → Approval → Task → Billable Work → Invoice

Source

When a client message arrives, a local open-weight model (qwen2.5:7b on Ollama) compares it with the requirements the client already agreed to. It answers one question: is this new, paid work, or is it already covered?

Source

The model linked the request to REQ-1 as related, not covered. SoloOps shows exactly that: "Related to (does not cover it) REQ-1".

Source