You will get a scoping sprint and working prototype for your AI SaaS
Rising Talent
Project details
Most AI SaaS ideas die in the build, not the idea. Someone commits the budget, the work starts before anyone agreed what it actually needed to do, and months later the thing technically runs but solves the wrong problem. The expensive mistakes are almost always made in the first week, before a line of code, when nobody asked the hard questions.
That is the part I am built for. I came up as a business analyst and project manager before I was a developer, and I have scoped, architected and shipped two AI SaaS products solo: an assessment tool live in Australian schools, and a consumer research platform. I have made these decisions for real, not in theory.
In this sprint I work out what your product actually needs to be: the core problem, the AI architecture, the stack, the data and privacy design, and a realistic build estimate. On the higher tiers I build a working prototype of the hardest part so you can see it run before you commit to the full build.
You walk away knowing exactly what you are building, what it costs, and whether it is worth it. That clarity is the cheapest money you will spend on the whole project.
That is the part I am built for. I came up as a business analyst and project manager before I was a developer, and I have scoped, architected and shipped two AI SaaS products solo: an assessment tool live in Australian schools, and a consumer research platform. I have made these decisions for real, not in theory.
In this sprint I work out what your product actually needs to be: the core problem, the AI architecture, the stack, the data and privacy design, and a realistic build estimate. On the higher tiers I build a working prototype of the hardest part so you can see it run before you commit to the full build.
You walk away knowing exactly what you are building, what it costs, and whether it is worth it. That clarity is the cheapest money you will spend on the whole project.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Content Creation, AI Mobile App Development, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, PyTorch, Replit, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$400 - $900
Extra Feature Prototype
(+ 5 Days)
+$1,000
Investor-ready architecture deck
(+ 3 Days)
+$500
Full written build specification
(+ 4 Days)
+$750Frequently asked questions
About Samuel
SaaS & AI Product Builder | scoped, built and proven, solo
Point Cook, Australia - 7:56 pm local time
I am a developer who started as a business analyst and project manager. So I work out what you actually need first, build it end to end, and prove it works rather than just telling you it's done.
Here is what that looks like.
I designed and built an AI platform, solo, that is now live in Australian schools. It turns dense clinical assessments into draft learning plans, cutting hours of manual work into a review-and-approve task. Full stack: Python web app, authentication, multi-tenancy so each school is walled off, a de-identification pipeline so student data never reaches the AI model, and server-side AI processing that drafts each plan in minutes. Every claim in a plan traces back to its source document, so the output stands up to audit.
I connect systems that were never meant to talk. On a full property ERP migration I reverse-engineered an undocumented legacy database, wrote the SQL to extract, reshape and validate every record, and built the import for the new platform from scratch. It had to balance to the cent, because trust-accounting money was involved. Give me two systems and I will build the transformer in the middle that moves your data from one to the other, cleanly.
I prove the work is complete. On a recent build I delivered a requirements traceability matrix mapping every spec to its implementation and its evidence, with a stated verification method, every function tested end to end before handover. That is not a freelance extra, it is how I work daily as a BA and PM. "Done" means measured against a standard and shown to you, not done on my word.
What ties it together: I question before I build. I document as I go, so the knowledge stays with you. I tell you when something is a bad idea and why. And I keep you posted in plain language, not jargon.
What I can help with:
SaaS and AI product builds, full stack, from idea to live product.
Complex integrations and APIs, connecting platforms that were never designed to.
Data migration and database work: SQL, schema mapping, ETL, cleaning up messy legacy data.
Business analysis and scoping: turning vague pain points into something buildable.
Web and app development, including AI-powered features.
I take side work selectively, so if I take your job it is because I believe I can do it well. I am in Melbourne, I communicate clearly and often, and I do not disappear. If your problem sits in the awkward gap between "needs building" and "nobody has worked out what it actually is yet," that gap is where I am most useful. Tell me what you are trying to do and I will tell you honestly whether I am the right person for it.
Steps for completing your project
After purchasing the project, send requirements so Samuel can start the project.
Delivery time starts when Samuel receives requirements from you.
Samuel works on your project following the steps below.
Revisions may occur after the delivery date.
You tell me about your product
A working session where you walk me through your idea: what you want, who it is for, what it should do, and what success looks like.
I present my plan and we talk it through
I come back with how I would build it and why, laid out plainly, with the risks, trade-offs and open questions on the table upfront. We agree on the approach together before any real work starts.