Most lifecycle teams hear “AI for marketing” and think: subject lines, copy variations, image generation.
That’s fine. It’s also not the win.
The win is using AI to ship small internal tools that remove friction from the work you do every week. The stuff that slows down campaigns, breaks personalization, and makes reporting a mess.
If you can describe the workflow, you can usually build the first version in a day or two.
That’s what people are calling “vibe coding.”
Not “build a startup.” Not “replace engineering.”
Ship the tiny thing that makes your CRM program 20 percent easier to run. Then ship the next one.
Why lifecycle teams are uniquely set up for this
Lifecycle sits at the intersection of:
- product events
- data quality
- compliance and brand
- content ops
- analytics
- platform constraints
Which means the pain is obvious. The edge cases are obvious. And the ROI is immediate.
Also, most lifecycle teams are already technical enough to do damage:
- SQL, data dictionaries, schemas
- APIs, webhooks, JSON
- basic scripting, spreadsheets that are basically software
The bottleneck is rarely “we don’t know what to build.”
It’s “it would take months to get it built.”
The meta advantage of being a third party
This is one of the underrated benefits of working with a specialist partner.
When you’re inside one brand, you see one stack, one set of constraints, one set of patterns.
When you support multiple teams, you get to:
- test a lot of tools in the real world
- see what breaks across platforms
- build reusable patterns
- bring ideas from one environment to another (without leaking anything sensitive)
You get reps.
Reps turn into systems.
What we’ve actually built (the useful list)
Here are a few examples of the kinds of tools we’ve built that make lifecycle execution faster and personalization more real.
1) AMP for Email “relay” services (via Supabase)
AMP forms in email are powerful. They’re also annoying in practice.
You need a secure endpoint to:
- accept submissions
- validate identity
- log events
- send a response payload
- forward the signal into your ESP/CDP
We’ve built relay services through Supabase that sit between the inbox and your lifecycle stack.
So the form can do something real:
- preference updates
- appointment requests
- feedback capture
- address updates
- NPS style prompts
And it all gets recorded as clean events you can act on.
2) Broadcasting events for personalization
Most personalization fails because the “signal” never becomes a first class event.
Someone clicks a thing, uses a feature, changes a plan, hits a milestone, answers a question.
Then it lives in a product database or an analytics tool. Marketing never gets it.
We’ve built small event broadcast layers that take key signals and reliably fan them out:
- warehouse
- ESP event ingestion
- internal dashboards
- real time decisioning services
The impact is simple: you stop personalizing off stale traits, and start reacting to what just happened.
3) MCP usage for safer, more consistent automations
If you’re experimenting with MCPs (model context protocols), the useful part is not the buzzword.
It’s the idea of giving your assistant controlled, auditable access to the tools that matter:
- content libraries
- knowledge bases
- campaign calendars
- reporting queries
- internal docs
Done right, that means:
- less copy paste
- fewer hallucinated “facts”
- repeatable workflows you can run again next week
4) Dashboarding that doesn’t make you hate your life
Dashboarding is where good programs go to die.
People ship a bunch of campaigns, then spend hours building one off reports.
We’ve built:
- campaign performance dashboards that map to your lifecycle taxonomy
- deliverability “early warning” dashboards (spikes in spam, drops in opens, domain level issues)
- experimentation dashboards (what ran, what moved, what to repeat)
The goal is not more charts.
The goal is faster decisions.
5) The unsexy internal tools that pay rent
These are the boring ones that quietly save teams every week.
- UTM and channel taxonomy enforcement: stop attribution drift before it starts.
- Campaign QA automations: links, tokens, fallbacks, suppression rules, edge cases.
- Offer eligibility services: keep promos honest with a single source of truth.
- Brand and compliance linting: catch problems before legal does.
None of these are glamorous.
All of them reduce rework.
The rule we use
If it doesn’t save time this week, don’t build it.
That rule keeps you out of “cool project” territory and forces you into “real operational leverage.”
Start with:
- the thing that breaks every month
- the thing that takes 2 hours to QA
- the thing that causes reporting arguments
- the thing that makes personalization brittle
Build the smallest version.
Ship it.
Instrument it.
Then iterate.
What this enables (and why it matters)
When execution gets faster, you can do the work that actually moves the program:
- better segmentation logic
- more thoughtful journeys
- tighter measurement
- real time personalization
Vibe coding is not a replacement for strategy.
It’s what makes strategy shippable.
If you want the playbook
If you’re a lifecycle lead and you want our starter list of “small tools worth building first,” message me. Happy to share.
And if you’re already doing this, I’d love to hear what you built and what actually saved you time.
