You will get a fast, agent-readable marketing website built in Astro
Rising Talent
Project details
Buyers research you through AI now. They ask ChatGPT, Claude or Perplexity to compare you against your competitors, and the AI reads your site and writes the summary. Most sites are built only for human readers, so their best content sits inside JavaScript an AI agent or crawler never sees, and the model reads a blank where your proof should be.
I build marketing sites that read well to both, fast, clean, statically generated in Astro so every word is visible to people and machines, with structured data and an llms.txt that tells AI assistants what you do.
Here is the part most builders skip: I ask questions before I build. I came up as a business analyst and project manager before I was a developer, so I do not assume. We agree on exactly what you want and why before either of us commits time. That is how you avoid paying for a site that technically works but misses what you actually needed.
You get a site you own outright, that your team can edit without me, built right because we scoped it right.
I build marketing sites that read well to both, fast, clean, statically generated in Astro so every word is visible to people and machines, with structured data and an llms.txt that tells AI assistants what you do.
Here is the part most builders skip: I ask questions before I build. I came up as a business analyst and project manager before I was a developer, so I do not assume. We agree on exactly what you want and why before either of us commits time. That is how you avoid paying for a site that technically works but misses what you actually needed.
You get a site you own outright, that your team can edit without me, built right because we scoped it right.
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$750
|
Standard
$2,000
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 24 days |
Number of Revisions | 2 | 2 | 3 |
Number of Pages | 1 | 4 | 7 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $500
Additional Page
(+ 1 Day)
+$250
Schema.org structured data
(+ 1 Day)
+$200
llms.txt
(+ 1 Day)
+$150Frequently asked questions
About Samuel
AI Developer & SaaS Builder | Python, Next.js, APIs | Shipped Solo
Point Cook, Australia - 8:23 am local time
Australian schools. Speccie is an AI research app with an autonomous trading
engine running unattended. I do the same for clients: scope it, build it,
prove it works.
WHAT I BUILD
AI features that ship. Retrieval pipelines, structured output, validation
gates, evaluation harnesses. On Kindred, every statement in a generated plan
traces back to a cited source, and uncited claims are stripped before a human
sees them. That is the difference between an AI demo and something a
regulated buyer will actually put into service.
SaaS MVPs end to end. Auth, tenancy, quotas, admin surface, deployment.
Kindred and Speccie are both multi user products I scoped, built and now run.
Internal tools and automation. Manual processes that eat hours a week, turned
into something that takes minutes. Document pipelines, data extraction,
workflow automation.
Integrations and data migration. REST, webhooks, WebSockets, broker APIs,
third party feeds, and the ugly undocumented legacy kind. In an employed role
I reverse engineered a 6,500 property database with no documentation on
either side and reconciled trust money to the cent.
AI, IN SPECIFICS
"AI" covers a lot of ground, so: retrieval augmented generation and vector
search, structured output with schema validation, agent workflows, prompt
caching to hold cost down, model gating and routing, fine tuning a small
model where a frontier model is overkill, and evaluation harnesses that
replay real cases against candidate models. Anthropic and OpenAI APIs,
LangGraph, CrewAI, AutoGen, MCP, and local inference where data cannot leave
the building. IBM certified in RAG and agentic AI.
One example of the judgement involved. On Speccie's trade decision gate I
replaced a frontier model with a small classifier fine tuned on the engine's
own history. Cheaper, deterministic, and it improves every session. Use the
big model to learn the shape of the problem, then replace it with something
small and owned once you know the shape.
WORKING WITH REGULATED OR PERSONAL DATA
If your product touches health, financial or children's data, the code is
only half the job. For Kindred I produced the governance suite that adoption
actually requires: a data protection impact assessment a privacy officer can
complete, a responsible AI framework, a mapping against the OWASP machine
learning and LLM risk lists, and an incident plan aligned to the Notifiable
Data Breaches scheme. Australian data residency and sovereign inference where
the data cannot leave the country.
HOW I WORK
Scope before build. I work out what you actually need and find the one
constraint that should drive the design, before a line of code is written. If
I think you are buying the wrong thing, I will tell you before you pay for it.
Proven, not just done. Done means measured, not "it looks right". On a recent
client build I traced every requirement from the brief, to the code that
implements it, to the evidence it works, and handed the matrix over with it.
We agree what right looks like first, in writing and in plain English. Fixed
price work runs in milestones with a definition of done on each, so you can
see progress and stop at any point. I send updates you can check yourself
rather than status reports you have to take on trust. Everything comes with
documentation written for whoever inherits it, technical or not.
Ten years in enterprise delivery first. Business analysis, project management
and data migration on regulated systems, before I moved into building. I can
read a business problem, work with non technical people, and document what I
hand over.
RECENT WORK
Kindred. AI platform live in Australian schools. Privacy first architecture,
no identifiable data reaches the model, model calls server side, citation
validation on every claim.
Speccie. Consumer AI research app plus an autonomous ASX trading engine that
has run a full daily loop unattended on a live paper account for a year.
Real time broadcast overlay for a live aviation stream. Multi device control,
under a second from operator to air, zero application bugs in the pre handoff
QA pass. Delivered, accepted and retained for further work.
Compliance intelligence engine for the construction industry. Ingests
regulatory assessment reports and extracts structured findings against a
completeness standard.
WHEN I AM NOT THE RIGHT FIT
I am not the cheapest option and I will not pretend to be. If the work is a
well specified ticket queue and you already know exactly what you want built,
you can get that done for less elsewhere. I earn my rate on the builds where
the hard part is working out what should be built, or where being wrong is
expensive.
Stack: Python, TypeScript, JavaScript, SQL, FastAPI, Node, React, Next.js,
Anthropic and OpenAI APIs, RAG, Firebase, Oracle Cloud, Vercel.
Fixed price on defined scope, hourly on open ended work. Australia based, I work across US and European hours
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.
We scope it properly before any code
I ask the questions that surface what you actually need: who the site is for, what it must achieve, what success looks like. We agree on it together before I build.
You share your brand and content
Send your copy, brand colours and any references. Delivery starts here.