Services · AI & Automation
Practical AI, not AI for AI’s sake.
AI workflows, prompt systems, research pipelines and targeted automation that fit how your team already works. No chasing trends, no generic AI content, and a person checks what goes out the door.
Where AI earns its place
- Research and summaries
- First drafts your team edits
- Repetitive admin and data entry
- Answers grounded in your own documents
Where it doesn’t, I’ll tell you, and we won’t build it.
Approach
Strategy before tools
Quality
A person reviews every output
Your data
Business APIs, not public chat tools
First sprint
Audit, plan and a working prototype
What I help with
Six ways to put AI to work.
Each one starts with a real task your team does today, not a tool someone wants to try.
01
AI experiments and prototypes
Test an idea quickly with a small working build before you invest in the full thing.
Proof of concept
02
AI workflows and automation
Take repetitive research, admin and data tasks off your team’s plate.
Process improvement
03
Prompt systems
Reusable prompts that carry your brand voice, rules and context every time.
Consistent output
04
AI for marketing teams
Campaign frameworks and content workflows that keep messaging consistent at scale.
Scale with consistency
05
AI for creatives and publishers
Ideation and production help that keeps the human author in charge.
Creative support
06
AI for small businesses
Everyday automations for scheduling, replies, quotes and follow-ups.
Day-to-day time savings
Why it works
Useful beats impressive.
Most AI projects disappoint because they start with the technology. These start with the work.
| Topic | The hype way | The CreativeTech way |
|---|---|---|
| Starting point | Buy the tool, then look for a use | Find the bottleneck, then pick the tool |
| Content | Flood channels with generic AI text | Structured prompts that sound like you |
| Customer experience | A chatbot bolted onto the site | Help that sits inside the task people are doing |
| Quality control | Treat AI like a magic button | A person reviews drafts before they’re used |
| Success | “We use AI now” | Hours saved and errors avoided, tracked |
Live work
Everyday AI: my own product, built the way I’d build yours.
Practical AI for people who are tired of the jargon.
Everyday AI pairs a practical app with an online course, so every idea ends in a task you can actually do. It’s the same approach I bring to client work: start with a real problem, write clear prompts, and keep a person in charge of the result.
Built with Prompt systems, plain-English UX, a lightweight web app
Early access is open.
What’s inside
- Plain-English course 38 short modules, written for people who don’t speak tech
- Companion app Practise each skill on real tasks and save what works
- Prompt cards Copy-ready prompts sorted by the problem you’re solving
- Learn, try, keep Every lesson ends in something you can use the same day
Free AI guides
Ways to work together
Start with a sprint. Build only what earns its keep.
Every proposal gives you fixed-price options, so you know the scope and cost before work begins.
Best first step
Pathway 01
AI strategy sprint
Find where AI will actually save time, before you buy anything.
- Workflow audit
- Tool and API recommendations
- A working proof of concept
1–2 weeks
Fixed price, quoted per project
Pathway 02
Custom automation build
Build and test the workflows the sprint identified.
- Custom prompt systems
- Integrations with your apps and site
- Testing and staff training
2–6 weeks
Fixed price, quoted per project
Pathway 03
Enablement and prompt systems
Help your team use AI well, and keep improving.
- Shared prompt libraries
- Team workshops
- Quarterly tool and model reviews
Ongoing
Monthly retainer
Scope estimator
Two questions, a rough scope.
Pick what’s closest. The suggestion updates as you go.
Suggested scope
What you’d get
A starting guide, not a quote. Your proposal is shaped to your project.
Questions
What people usually ask first
Is my data safe?
I use business API access from providers like OpenAI and Anthropic, whose terms don’t use your data to train their public models, and zero-retention options where they’re available. Sensitive information stays out of workflows that don’t need it.
What about AI making things up?
No AI system is free of errors, so I design around them: clear prompt rules, answers grounded in your own documents, and a person reviewing drafts before they’re used.
Do I need technical staff?
No. You get working tools, automations in apps like Zapier or Make, or prompt packs, plus training so your team can use them confidently.
How quickly will I see something?
The strategy sprint ends with a workflow audit, a tool recommendation and a working prototype, usually within one to two weeks.
Which AI tools do you use?
Whichever fits the job and your budget. I’m not tied to one vendor, and I’ll tell you when a simpler non-AI fix will do.
Let’s connect
Tell me what’s eating your team’s time.
Describe one task that feels repetitive. I’ll reply with a few questions and an honest view on whether AI is the right fix.
- I read your note and reply with a few questions
- We look at the task together on a short call
- You get a proposal with fixed-price options
Prefer email? hello@creativetech.studio
