Customizable AI Chat UI, Crypto Payments, Multiple Models - 29/05/2026 17:31 EDT
Budget: $5,000 – $10,000 AUD
You're building a Pay-Per-Query SaaS where users pay per request, but instead of reselling ChatGPT/Claude, we will host and bill for our own custom AI models, or if safe to do to allow users to upload their own trained on specific jobs (legal review, medical coding, engineering checks, etc.).
What it is (in plain English)
A website where users buy credits, type a prompt/upload a file, and get an AI answer
The AI isn't just ChatGPT — it's a unique fine-tuned model that knows one specific job really well
Users pay per query based on how hard/complex the task is
The freelancer scope (simplified)
Frontend — Clean dashboard where users pick a "task" (like picking an app), see the price, type/paste/upload input, and view results (${{cost}} deducted per click), they are given a chat window as standard with other AI tooling.
Backend API — Credit wallet, query cost calculator, job queue, and user auth
Model Hosting — Plug your fine-tuned model into an inference server (e.g., vLLM, Triton) so it accepts API calls
Task Router — Simple logic: "Legal task → send to Legal model," "Medical task → send to Medical model"
How money flows
User tops up wallet → submits a task → you deduct a fixed fee (e.g., $0.15 for a contract review)
You keep the margin between what the user pays and what the GPU cost you to run the inference
Key selling point
Unlike typical AI apps that just act as a middleman to OpenAI, you own the models and the expertise.
Customers pay for a specialized worker, not a general chatbot.
What it is (in plain English)
A website where users buy credits, type a prompt/upload a file, and get an AI answer
The AI isn't just ChatGPT — it's a unique fine-tuned model that knows one specific job really well
Users pay per query based on how hard/complex the task is
The freelancer scope (simplified)
Frontend — Clean dashboard where users pick a "task" (like picking an app), see the price, type/paste/upload input, and view results (${{cost}} deducted per click), they are given a chat window as standard with other AI tooling.
Backend API — Credit wallet, query cost calculator, job queue, and user auth
Model Hosting — Plug your fine-tuned model into an inference server (e.g., vLLM, Triton) so it accepts API calls
Task Router — Simple logic: "Legal task → send to Legal model," "Medical task → send to Medical model"
How money flows
User tops up wallet → submits a task → you deduct a fixed fee (e.g., $0.15 for a contract review)
You keep the margin between what the user pays and what the GPU cost you to run the inference
Key selling point
Unlike typical AI apps that just act as a middleman to OpenAI, you own the models and the expertise.
Customers pay for a specialized worker, not a general chatbot.