AI-Powered Business,
Built and Grown.
AI-Powered Tech, Growth & Business Operator
What gets built, and how customers find it. With AI as the execution layer. I document each build as a runbook so it can be run again without me. I deploy and orchestrate AI. I don’t train models.
- Claude
- ChatGPT
- Microsoft
- Shopify
- Clay
- Apollo
- Bouncer
- Apify
- Outlook
- Gmail
- Slack
- Google Sheets
- X
- Hugging Face
- Gemini
- Higgsfield
- ElevenLabs
- Microsoft Azure
- GitHub
- G2
- Clutch
- Crunchbase
- Midjourney
- RunwayML
I build every part a business runs on, and the engine that puts it in front of customers.
Shipped and running,
not slideware.
Each card links to the full case: the problem, the calls I made, and what I caught the AI getting wrong. Where a thing is live, paid for, or downloadable, the card says so.
Strategy, precision, and development combined. Your idea built into something that works, and keeps working without you.
Worked with, not just for.
The people who watched the work happen from the inside, and the company it happened at.
Showing the testimonial from Mudassir Marwat
Pick a piece, or the whole thing.
14 ways in. Take one on its own, or start at the top and have the whole business built and run.
- 01
Startup To Start
An idea taken from the first thought to a finished, running business. Every service on this list in one engagement: the brand, the site and the store, the platform underneath, the content and the social, the campaigns, the search layer and the outbound that puts it in front of people. Venture building is the one thing not inside it. Want a single piece instead? Take any card below on its own.
- Every service but one
- Product and brand
- Site and systems
- A runbook at the end
- 02
Venture Building
Two ways in, depending on whether there is already a company. Either a new venture launched under a brand that already has an audience and authority, or the company itself from zero, with the whole Startup To Start build carried along inside it. Fundraising and investor pitching are not part of either.
- New venture, existing brand
- Or the company from zero
- Model and positioning
- First customers
- 03
Brand Building
A brand made real, not just a logo. The name, the positioning and the voice, the colour and type system written as code, the logo and the assets, and a rebrand shipped on a live site rather than behind a holding page.
- Name and positioning
- Colour and type as code
- Logo and assets
- Rebrand on live
- 04
Website / Store / App Build
Corporate and business sites, the stores behind them, and the apps on top. B2B and B2C ecommerce, brand and design tokens as code, and structured data and speed built in rather than added after.
- Business and corporate sites
- B2B and B2C ecommerce
- Web apps
- Design tokens
- Schema and speed
- 05
SaaS Platform Development
Platforms built for how one organisation actually runs. Schools, businesses, brands: the dashboard, the accounts and roles, the data model underneath, and the parts of the job that stop being done by hand.
- Dashboards and portals
- Accounts and roles
- Data model
- Automation
- 06
Data Scraping
Public data at scale, turned into a clean dataset. API work, polite retry logic, and a receipt on every record so the source stays checkable.
- Scraping and APIs
- Cleaning and modelling
- Evidence per record
- 07
GTM Strategy
The route to market, decided before anything is spent. Who the buyer is, what the offer says, which channels get used and in what order. B2B or B2C, product-based or service-based.
- B2B and B2C
- Product and service
- Positioning and offer
- Channel plan
- 08
Outbound Engine
The list, the named people on it, and the messages that reach them. Sourcing the right companies, enriching down to verified email, then sequences across email and LinkedIn.
- Lead generation
- Sales prospecting
- Cold outreach
- Data enrichment
- A runbook at the end
- 09
SEO / AEO / GEO / E-E-A-T
Search work for both kinds of engine, run off evidence rather than a checklist. Technical audits, the keyword and topic map, and Search Console read properly: which queries are decaying, which of your own pages compete with each other, and what never got indexed. Then the schema and entity markup answer engines read, and the E-E-A-T layer under it, the author behind the page and the profiles that corroborate the name.
- Technical audits
- Search Console analysis
- Indexing and decay diagnosis
- Keyword and topic maps
- Schema and entity markup
- E-E-A-T and author identity
- 10
Campaign Management
Paid campaigns set up and run. Google, Meta and wherever else the buyers are: the accounts, the targeting, the creative, the budget and the reporting that says what to cut.
- Google Ads
- Meta Ads
- Targeting and creative
- Budget and reporting
- 11
AI Content Creation / Ad Creatives
Articles, posts, scripts and page copy, written to be read by people and quoted by AI answer engines. Ad creatives alongside it, sized per platform. Plus the system underneath: publish once and the page structures itself, syndicates across platforms, and the feeds and indexing run unattended.
- Articles and posts
- Ad creatives
- Scripts and copy
- Publishing system
- Syndication and indexing
- 12
Video Editing / Motion Graphics
Marketing and UGC video, and the motion graphics that go with it. Script through edit, AI visuals and voice where they help, sized per platform and delivered ready to post.
- Script and voice
- Motion graphics
- AI visuals
- Edit and delivery
- 13
Store Management
An online store run day to day. Products and inventory, orders and fulfilment, customers and their questions, and the payment, shipping and tax setup underneath it.
- Products and inventory
- Orders and fulfilment
- Customers
- Payments and shipping
- 14
Social Media Management
The calendar, the copy, the visuals, the posting and the replies. One voice across every platform you are on.
- Calendar and copy
- Visuals
- Posting and replies
Come and say hello.
2 ways in. LinkedIn is the one I check most, and it is where the work shows up as it happens. The call and the inbox are in the footer below.
