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Build Leverage with AI Without Hiring a Team
Hey there 👋 I help small agencies and consultants build leverage with AI and systems-first marketing so you can scale calmly, without chasing clients.
Subscribe to My Newsletter- 2-4 weeks
- Delivery
- From $2,500
- Starting
- Ongoing
- Support
- 10+ clients
- Served
Four ways in
Most of this site is working notes rather than marketing. If you only open one thing, open the graph — it explains the rest faster than I can.
The graphMy whole knowledge base, rendered
Every note in the private vault as a live 3D constellation — anonymised, clustered by topic, and honest about how tangled it actually is.
- 688
- notes
- 2297
- links
The operating systemHow I actually run
Twelve areas, each with real protocols rather than intentions — health, systems, travel, wealth, and the rest. The protocols are published; the results aren't.
- 15
- areas
- Daily
- cadence
In progressWhat I'm building
A running record of what shipped, what's live now, and what's next — with dates attached so it stays honest rather than aspirational.
- 03
- shipped
- 03
- building
Field testsWhat I tested
Experiments I actually ran, with the numbers that came back — including the ones that returned nothing at all. The failures carry more information.
- 06
- tests
- 01
- failed
See the systems running
13-minute video tour of the full infrastructure — services, automation, AI agents, and monitoring dashboards.
- 13
- Minutes
- 16
- Services
- 40+
- Workflows
The Systems-First Lens
The premise is simple: marketing should run on systems, not effort. Clear cadences instead of bursts. Documented SOPs instead of tribal knowledge. Live dashboards instead of monthly recaps. Automation instead of manual chasing.
When you build the system once, the leverage compounds. Every new client, every new campaign, every new piece of content slots into infrastructure you've already built. The result is calm, predictable growth without doubling headcount or burning out your team.
Most agencies confuse activity with progress. The systems-first lens replaces “how hard are we working?” with “what does our infrastructure produce while we sleep?” That's the only metric that compounds.
Lessons from building in Thailand → Efficiency, cost savings, and calm growth habits drawn from running operations abroad.
My Proven
4-Step Build Process
- 01
Design
We start by mapping your business as it actually runs today — not how you think it runs, not how the org chart says it runs. Where leads come from. Where they get stuck. What tools you're paying for and what they actually do. What work shouldn't be touched by a human anymore.
The output is a one-page systems blueprint showing exactly what to build, in what order, and what each piece will save or earn you. No 40-page strategy decks. No vague “AI roadmaps.” A blueprint you could hand to any operator and they'd know exactly what comes next.
- 02
Diagnose
Most automation fails because it speeds up the wrong things. Diagnose is where we find the actual constraint — the missed call you can't recover, the follow-up sequence nobody runs, the lead source you can't measure, the proposal that takes three days when it should take three minutes.
Once we know the real bottleneck, every build decision flows from there. No vanity automation. No “AI strategy” that moves nothing. We fix the constraint that's actually limiting your revenue — and only that constraint — first.
- 03
Build
Most done-for-you systems are live within 14 days. Quick wins ship in week one. Deeper builds with custom agents take a few weeks more.
We work in tight loops: build, test on real data, ship. You see working pieces every week — not slide decks at month-end. Built on GoHighLevel, n8n, Claude Agent SDK, LangGraph, Supabase, and whatever else fits the job — but always on infrastructure you own and understand. No proprietary platforms. No vendor lock-in. Nothing that stops working if I disappear tomorrow.
- 04
Prove
The system isn't done when it's deployed. We measure for 30 days against the metrics we set in Design, refine what isn't working, and hand over a documented system your team can actually run.
You don't get a black box. You get infrastructure you understand, can edit, and can scale on your own. Every workflow is named clearly. Every integration is documented. Every metric is on a dashboard you can read at a glance. The handover isn't a one-time event — it's a 30-day support window where I make sure everything runs in production before I step back.
Both halves of the job.
Strategy without build is a slide deck. Build without strategy is a toy.
Marketing I run
- Google / Meta / Amazon Ads
- SEO & Local/GBP
- CRO & landing pages
- Lifecycle (email/SMS)
- Cold-email systems
- Cold calling · setting · closing
- Attribution (GA4 / GTM / server-side)
Systems I build
- n8n & workflow automation
- Claude / LangGraph AI agents
- GoHighLevel CRM architecture
- Next.js / Supabase apps
- Docker / VPS infrastructure
- Voice agents
Proof I can build yours
I run my own business on 16 containerised services in production — 40+ live workflows, 22 scheduled jobs, AI agents, and self-healing monitoring, all built end to end.
Proof, not promises.
Real client work, with the numbers attached. Figures verified by ad-console screenshots and owner confirmation — available on request.
- $234,583
- Ad sales driven (8 months)
- $100K+
- Client's monthly sales after my CRO work
- $4K → $30K
- Monthly revenue, on a system I built
- 16
- Live production systems I run
- № 01Growth instinct
Helped lift a UK e-commerce store's monthly sales past $100K.
- Problem
- A UK e-commerce retailer had strong traffic — roughly 4,000 organic visits a day — but converted at about 0.5% against a ~2% category benchmark. Demand was there; the funnel was leaking it.
- What I did
- A focused two-week, in-person growth engagement. I audited the funnel and prioritised fixes by revenue impact. The needle-mover: identifying that introducing free shipping would unlock the category's conversion benchmark, then pushing it through alongside targeted UX fixes.
- Result
- The store was doing ~$80–90K in monthly sales during the engagement. The owner later confirmed it had grown past $100K/month following the free-shipping change and the UX work.
past $100K/mo
The UI/UX site architecture I mapped for the redesign - № 02Paid performance
Scaled a brand's paid channel to 4.21× ROAS.
- Problem
- An e-commerce brand needed profitable paid growth on a marketplace where wasted spend destroys margin fast.
- What I did
- Built the full campaign architecture and ran ongoing optimisation — keyword research, bid and structure management, and tight ACoS control across the catalogue.
- Result
- $234,583 in sales on $55,746 spend — 4.21× ROAS at 23.76% ACoS, over eight months. Verified against the live ad console.
4.21× ROAS
Verified — ad console, Jan–Aug 2024 - № 03Systems build
Built the system a home-services business runs on — and scaled it ~7×.
- Problem
- The business was leaking leads after the click. Missed calls went nowhere, there was no follow-up, and no review engine. Great at the job, losing money at the front door.
- What I did
- Built an end-to-end CRM and automation stack: missed-call to instant-SMS text-back with an intake form, a multi-channel inbox, an AI voice agent for overflow, and an automated review engine.
- Result
- The live dashboard shows AU$21K tracked revenue in a recent 30 days at 72.97% conversion through the funnel I designed. Owner-reported, the business has grown roughly 7× since it went in.
~7× growth
Live CRM system I built — dashboard, funnel + automations - № 04Outbound
Ran cold-email campaigns to 60–80% open rates.
- Problem
- Most cold outreach dies in the inbox — low-20s% open rates, no replies, wasted lists.
- What I did
- Built and ran the campaigns end to end: list building and enrichment, domain warmup and deliverability, multi-step sequencing, and copy tuned to the segment.
- Result
- 60–80% open rates across several campaigns — 61.27% on one 173-send sequence — with real replies and booked calls.
60–80% opens
61% open rate — and real replies from prospects
- Google review
“We used to get jobs word of mouth — now, since our whole marketing structure was reworked, we get more enquiries than ever, 99% through Google, and we haven't even run paid ads yet.”
BrettHome services - Client review
“I was referred to Lachlan to redesign my Amazon listings and PPC. He was very helpful from the first meeting and exceeded his role. He set up an organised schedule before we started PPC.”
PaulE-commerce - Google review
“Working with ClearScale helped me manage my business so much more efficiently — Lachlan showed me a ton of ways to improve my sites' back-end structure and use simple AI to save time.”
JayLocal business - Client review
“Helped us scale our brands with PPC. Within a few months our sales increased by 50%.”
MikeE-commerce aggregator - Google review
“Thanks for helping us grow our business and for the marketing advice. Lachlan was easy to deal with, with great communication.”
TamaraLocal business - Google review
“Top bloke — super helpful building me a modern site and getting me found online.”
DonLocal business
Ready to Scale Calmly with AI Systems?
A free discovery call to scope exactly what you need — no obligation, no surprises.
Remote · GMT+7 · flexible overlap with US & EU hours