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02 / Projects

Work we've shipped,
problems it solved

Five builds, told the way they happened: the mess we walked into, what we made, and what changed.

Sales

AI Lead Generation Agent

Finding clients by hand means hours of searching, judging fit and digging for contact details - often for nothing. We built an agent that does the whole first mile: it finds companies, studies them, scores them and drafts the outreach.

The problem

Manual prospecting is a grind with terrible odds. You search for companies, open every website, judge whether they fit your service, dig for an email address - and after a full day of this you might have a short list and no guarantee anyone will ever reply.

What we built

You give the agent a region and a niche. It goes out and finds businesses that match, reads through each company's website, works out what they actually do, pulls their contact details and scores how good a fit they are for your service. Then a second, sales-focused agent takes over: for each promising lead it writes a message built on what it learned - what the company struggles with and what would genuinely get their attention - and saves it as a draft.

The outcome

Your part of the job shrinks to the one step that truly needs a human: reading the drafts, adjusting a line here and there, and sending them out in bulk. Prospecting stops being a day of searching and becomes twenty minutes of reviewing.

Days → minsto a qualified lead list
100%of leads scored & enriched
Draft-readyoutreach for every lead
Web

Website Builder Agent for Local Businesses

Cold outreach is easy to ignore - until you show up with a finished website. This agent finds businesses that don't have one, builds each a tailored demo site, and hands you a call list where the selling is already half done.

The problem

Thousands of solid local businesses still have no website - just a Google listing. They're an obvious market, but pitching them cold is hard: "we could build you a site" is an abstract promise, and abstract promises are easy to decline.

What we built

The agent walks through Google Business Profile listings and picks out businesses with no website. For each one it studies the field the business works in, then generates a demo website to match - layout, design and copy that fit that specific business rather than a generic template. Everything lands in a single table: the business, its contact details, the email address and a link to the ready demo.

The outcome

The conversation changes completely. You're not asking a business owner to imagine a website - you're showing them their own, already built, and how their business could look with it. Saying no to an idea is easy; saying no to a finished site that clearly upgrades your business is much harder.

Built firstdemo ready before the call
Autodiscovery via Google listings
1 tablecontacts, demo & email
Trading

Automated Trading Agent

A trading agent that executes your strategy exactly as you defined it - watching charts and news around the clock and logging every trade - while you keep full control and use its statistics to sharpen the rules.

The problem

Waiting for the right entry point can eat hours, sometimes days, of just sitting and watching the chart. And however good your strategy is, you can't watch every market around the clock - the setup you waited for all week can arrive while you sleep.

What we built

We built an agent you configure with your own strategy - your entries, your exits, your risk rules - and keep full control over at all times. Once it's running, it does the watching for you: it follows the chart and the news flow and enters and exits trades exactly by the rules you set. It doesn't improvise and it doesn't get tired. Every trade is recorded with its full context, so you can see precisely what the setup looked like and how it played out.

The outcome

The agent doesn't promise profits - it executes your strategy with a discipline and coverage no human can match, and frees your time to build the next strategy instead of babysitting the current one. The trade log becomes your feedback loop: you see which situations your rules handle well and which they don't, and tune the agent on that data so each version trades sharper than the last.

24/7market coverage
Your rulesnothing improvised
Every tradelogged with context
PR

Digital PR & Link Building Agent

Search engines and AI assistants recommend businesses they see credible signals for: mentions and links in trusted publications. This agent turns that into a concrete digital PR plan laid out months ahead - where to publish, when, and with what story.

The problem

A young business can be genuinely good and still be invisible: Google is cautious with names it has never seen referenced anywhere, and AI assistants recommend businesses they can find credible mentions of. Building that trust by hand - figuring out which outlets matter in your niche, what to pitch them, in what order - takes expertise most young companies simply don't have in-house.

What we built

You describe your business, your direction and the result you're after. The agent turns that into a detailed strategy laid out months ahead: which publications to appear in, in what order, with which article in each, and why that sequence - so links and mentions accumulate the way a naturally growing brand's would. It draws on how digital PR and link building actually work: relevant outlets over loud ones, and a natural link profile over a sudden burst of placements.

The outcome

We've run it for businesses from newly launched clothing brands to established service agencies. The effect shows up where trust signals matter most - and right now that is especially AI search: when assistants see consistent coverage of a brand in credible publications, that brand starts appearing in their answers and recommendations.

Monthsof publications planned
Per outletstory, timing, rationale
AI searchwhere the lift shows first