Skip to content
Paul Saunders

Gallery

A quick look at what I can build.

Each video is a short preview of a solution I can design and build for a business. The video is only the showcase. What you get is the working system behind it, built around your data and your team. More examples are on the way.

  1. Illustrative data. Kestrel Lift & Handling is a fictional business, and every answer, count and percentage in the video is an example.

    01 · Every project

    Illustrative data

    Every project starts with context

    This video stands for the start of every project I take on. Before anything is built, what the business knows has to be gathered and written down, because every system that follows reads from it.

    The Workbench does that work. It sends short question cards to the people who know, turns each answer into a sourced markdown document, and keeps asking, wave by wave, until the picture is complete. Nothing is guessed: anything unanswered stays marked open until the right person settles it.

    It follows the same journey as the project video on my home page, from the pain point onwards, but opens up the first stage: how the context library is built, one question card and one document at a time. The answers decide which documents a business needs, so a dental clinic and an equipment supplier end up with libraries of their own shape.

    Context is what every project I deliver stands on. An AI system is only as good as what it knows about the business: its prices, customers, rules, voice and what has already been tried. That is why I spend so much time on this first stage, and why the same Workbench can be set up inside your business, so your team and your AI tools work from one source of truth.

    Niche
    Any project: my own, a client’s, or a client’s client
    Audience
    Owners and teams starting an AI build
    Runs
    From day one, in waves of question cards, then keeps the library current
    Built from
    The client’s own answers, their live site and accounts, and public records

  2. 02 · Local service businesses

    Illustrative data

    Get your listing foundations right

    A listings system for local businesses whose details have drifted across the web: an old phone number on one directory, a former address on another, accounts that were never set up. It finds every listing, compares every detail against one record the owner confirms, corrects what is out of date and creates what is missing.

    Every account then carries the same name, address, phone and hours, and it stays active with posts, answered reviews and new articles, checked again each month. AI answers vary and no one can promise a citation, but the details they draw on can all agree. This clip is a quick preview of how that solution could look.

    Niche
    Local service businesses: trades, clinics, studios and showrooms
    Audience
    Owners and office managers
    Runs
    Once to set up and verify every account, then a monthly check
    Built from
    The business’s own listings and accounts, its website, and one record the owner confirms

    Illustrative data. Brennick Double Glazing is a fictional business, its phone numbers sit in the range reserved for fiction, and every count and detail in the video is an example. Platform names show only where a business can be listed.

  3. 03 · IP law

    Illustrative data

    IP infringement, measured

    An evidence system for IP lawyers whose clients’ product photos turn up on someone else’s store. It captures both catalogues before anyone is contacted, fingerprints every image, measures every likely pair pixel by pixel against a control, and dates every upload from the platform’s own records.

    The partner gets a schedule of works to act on: every row measured and dated, lookalikes set aside, and the licence question put to the client. The pixels show where a file came from, and the legal call stays with the firm. This clip is a quick preview of how that solution could look.

    Niche
    IP and brand-protection lawyers, and brands with large product catalogues
    Audience
    Partners, associates and in-house counsel
    Runs
    Per matter, then monthly to watch for new uses
    Built from
    Both stores’ public product data, the client’s own files and web archive captures

    Illustrative data. Ashby Rourke, Verrin & Holt and Kellmont Home are fictional businesses, and every count, measurement and date in the video is an example. Whether any use infringes is a legal question for the firm.

  4. 04 · Cafés and restaurants

    Illustrative data

    A weekly team pulse

    A weekly reporting system for café and restaurant groups. Every Monday it turns last week’s numbers into a team update and sends it to every staff member’s phone.

    Each site sees how it tracked against target, who earned a shout-out and what to focus on this week. The system builds it automatically from the spreadsheets and exports the business already keeps. This clip is a quick preview of how that solution could look.

    Niche
    Café and restaurant groups, 3 to 20 sites
    Audience
    Area managers, site managers and every team member
    Delivered
    Mondays at 7:00, to the team channel and every phone
    Built from
    Sales, waste logs, reviews and rosters

    Illustrative data. Salt Lane Coffee Co. is a fictional business, and every figure in the video is an example.

  5. 05 · Skincare and beauty

    Illustrative data

    Launch claims for every market

    A claims review for international skincare brands. One product claim is read against every market the brand sells in, and any wording that needs a look is flagged before packaging and product pages are finalised.

    Each flagged market gets a suggested rewrite that keeps the evidence behind the claim, and the brand’s own reviewer signs off every market. This clip is a quick preview of how that solution could look.

    Niche
    International skincare and beauty brands selling in 5 or more markets
    Audience
    Regulatory, marketing and ecommerce teams
    Delivered
    With every new claim, before packaging and product pages are finalised
    Built from
    The claim sheet, its evidence and the brand’s own market rules

    Illustrative data. Linden & Oat is a fictional brand, and every rule count and figure in the video is an example. Nothing here states that any claim is compliant or legally checked.

  6. 06 · Wellness and beauty

    Illustrative data

    Gift vouchers, start to finish

    A gift voucher system for a massage studio. A voucher bought online late at night is minted the moment it is paid for, sent to the recipient on the morning the buyer chose, and spent down over several visits at the counter.

    The studio’s own counter tool sells vouchers at the till and gives free ones, emailing them to the client after a review. This clip, built for Fern & Soul, is a quick preview of how that solution could look.

    Niche
    Massage, wellness and beauty studios, and any business that sells time or a table
    Audience
    Studio owners and front-desk teams
    Runs
    Every day: online sales, a morning send and the counter
    Built from
    The studio’s price list, its brand and its payment account

    Illustrative data. Every name, voucher code and amount in the video is an example, and no real guest or voucher is shown.

What could I build for your business?

Every build starts from the systems and data you already have. Book a call and we’ll work out which solution fits.

Book a call