I'm Lindsay. I make the build/buy/stay call, design the migration, manage the cutover, and run the platform your numbers are tied to. No team to hire. CTO at Context Is Everything; creator of BernardMoves, PlanB Backups and 60 Bubble plugins.
If the Tech is how you deliver, visit Context Is Everything →
The wedge
Every translation, briefing, summary, spec - loses nuance. I already speak the four industries I work in, so the brief that goes to the agent is direction, not translation. Sometimes the right answer is to buy off-the-shelf instead of building. I'll tell you that on day one.
Architecture, agent direction, cutover plans, service-level commitments (SLOs), ongoing operation. Vibe coding produces working software. It doesn't land a cutover at 2am or hold a platform to the business KPIs it drives. Engineering is judgement and accountability. I sign up for both.
Slash the backlog
I connect a coding agent to your repo, your error logs and your ticket queue. It reads the lot before it touches anything. You get a ranked list of what is actually broken, not what was shouted about loudest.
Small, safe fixes ship every day, each one tested and reviewed before it merges. Anything that touches money, customer data or a live AI prompt is written up as a decision for you. It never gets slipped in.
You keep the job. It runs on a schedule, fixes what it is allowed to fix, and sends one report each morning, with a burn-down so you can watch the line go down. Ours runs twice a day on BernardMoves.
Tech debt
Our Stripe key turned out to live in six places. One prompt and four hours later, we had the inventory. How we did it →
$284 a month down to $88. The saving wasn't the interesting part. What we found along the way was. Read it →
An AI hiring platform, off Bubble and onto Next.js and AWS, in eight working days. The series →
And the quiet stuff: dependency upgrades, dead code, missing tests on old code, copy that drifted away from the product. The robots do it. You stop noticing it was ever there.
Ops without an ops team
Nothing merges on a red build. Nothing deploys that isn't on main. After every release we check the live system, not the green tick.
When something breaks, the fix ships with a check that runs on every change after it. The same bug doesn't get a second go.
Every browser error is caught and logged, so we hear about a bug before a customer sends us a picture of it. The setup →
Every resource is tagged by product, so the bill splits cleanly and a surprise shows up early, not at month end.
Attention is the scarce thing, not code. I spend mine on the calls that matter: pricing, customer data, design, what to build next. The checks, the reviews and the small fixes run without me. How we keep four apps up with two people →
Workshop
Hands on, on your own repo. We set up the agent, the guardrails and the morning report together, so it is already running when you leave. Small group, limited places.
Adopting AI · the strategic question
Every business gets that AI will reshape their cost base. Most are stuck in pilot mode, a Claude prompt here, a ChatGPT workflow there, no system. The companies that get this right won't be the ones with the best models. They'll be the ones who put their own context, methodology, customer knowledge, institutional memory, inside the AI.
That's what I co-founded Context Is Everything for. We systematise the move from "AI is a tool we use" to "AI is in the product we sell." Inside delivery, inside the commercial offer, inside the platform itself.
Where I work
What I bring
Your industry isn't a learning project. I've been in the room since long before "Fractional CTO" was a phrase.
Context Is Everything systematises how serious businesses move from "we've tried ChatGPT" to "AI is in our delivery, our product, and our commercial pitch." The Contour methodology, the SASHA platform, and a team that's done it before, available when the engagement calls for it.
A private on-premise LLM trained on your proprietary methodology, when "AI inside the product" needs to be defensible against generic competitors.
What you're actually buying
Predictable infrastructure. SLOs owned and reported, mapped to the business KPIs that matter in your industry. No 2am outages. No compliance time bomb sitting under the business.
A platform that takes 10× customers, a new product line, a new geography, or an acquirer's due diligence, without rewriting again.
Build 5× faster with directed AI agents. Lower headcount, better margin, faster cycle time. The efficiency story.
New capabilities your customers will pay for. A repositioned commercial pitch, AI-native broker platform vs we have software. Higher acquisition multiple. The revenue story.
Platform SLOs mapped to the business KPIs they drive, time-to-bind, FP17 completion, AIP cycle time, audit-cycle time. If platform misses, fixing it is in scope. If business misses with platform green, that's a different conversation. Either way, you stop debating which.