The briefing that writes itself.
Sierra Allergy needed to keep patients across Fresno and Merced informed about the conditions that trigger their symptoms — pollen, air quality, wildfire smoke. Instead of a big platform, we built a small system: it pulls live environmental data every morning, drafts a ready-to-publish patient briefing, and waits for a one-tap human approval before anything goes out.
A message worth sending, every day.
Allergy and asthma symptoms track closely with conditions the practice already understands better than anyone — pollen counts, air quality, wildfire smoke drifting through the Central Valley. Sharing that with patients daily is genuinely useful content: timely, on-brand, and exactly the kind of thing that builds trust between visits.
The catch is the labor. Pulling four or five separate data sources, translating them into plain language, and publishing something every single morning isn't a task a busy clinic has spare hands for — so, realistically, it never gets done consistently by hand.
Five data sources, one briefing.
Every morning, the system checks real-time conditions across both Sierra locations and drafts a patient-facing update — then stops and waits for a person before anything is published.
Drafted for review: conditions are quoted and attributed to the source (EPA, Google Pollen) rather than reworded as the practice's own claim — the safer, most authoritative framing for medical content.
Small decisions, done right.
A micro-build still has real decisions inside it — the kind that determine whether patients (and a doctor's reputation) can trust what gets published.
A small stack, doing one job well.
Micro-builds don't need a heavy platform underneath them — just the right small pieces, wired together cleanly.
One problem, solved precisely.
This isn't a platform, and it was never meant to be one. It's a small, sharp tool aimed at a single recurring problem — a daily briefing nobody had time to write — solved end to end and left running quietly in the background. That's the whole idea behind micro-builds: AI has made small, bespoke software cheap enough that a problem this specific is finally worth solving properly, instead of being left as a nice-to-have nobody gets to.
The best content strategy is the one that actually ships, every day, without anyone having to remember to do it.
This system drafts content and proposes it for approval — it doesn't publish unsupervised, and it doesn't replace clinical judgement. It removes the labor of assembling the data every morning; a human still decides what goes out, every time.
Where this fits.
A small build, wired into a bigger content and search strategy. Each piece is a service in its own right.
Got a small, recurring problem nobody has time for? Let's fix it.
Tell us what task eats your team's time every day — the first reply comes from a partner, not a form.