A week of meals for your household, in thirty seconds.
Peri Happy is a nutrition platform for perimenopause and beyond, with more than 550 evidence-based recipes organised by symptom and a weekly email read by 15,000 women. Labs turned the recipe library into the Peri Planner: a weekly food plan that respects your diet, your family and your symptoms, with a shopping list, and that you can change by typing what you actually want.
Great recipes, and the same question every Sunday
Peri Happy's readers trusted the recipes. What they didn't have was time: a week of meals that suits a woman managing symptoms, a partner who eats differently, two children and a budget is a planning problem, not a browsing problem. Every recipe site has a search box. Almost none of them will tell you what to cook on Thursday.
The Peri Planner
Every recipe indexed and made available to a weekly planner that takes diet, family size and current symptoms and produces a week: seven days of meals, a shopping list, and a breakdown of each meal. Then the part that makes it feel like a person rather than a filter: you tailor it by typing. “I want fish tonight but no one else eats it” swaps one plate and leaves the rest alone. Community tooling sits alongside, so the plan is something to talk about, not just download.
Constraints first, then language
Planning is a constraint problem before it's a language problem, so the planner solves diet, symptom and household constraints deterministically over the indexed library, and uses models for the parts that need them: understanding a typed request, explaining a swap, writing the breakdown. Multi-model, chosen per task. The whole thing runs on Edge Compute behind Peri Happy's site, which their team deploys and manages through Edge's agentic tooling.
The library became a service
Live in September 2026, one month after the concept was agreed. Planning a week that used to take an evening of browsing and a notepad takes thirty seconds, and gets better the more precisely a reader says what they want. For Peri Happy, a content site gained a product: something to build membership around, and a reason for 15,000 weekly readers to come back midweek.
Plans that learn, and a planner that shops
Handed to Edge Expert Services to run. The next concepts on the table: plans that remember what a household actually cooked and liked, symptom tracking that feeds the planner, and a shopping list that fills a basket at the reader's supermarket rather than describing one. Labs stays alongside the team as their R&D partner.
“We describe what we want and it's live minutes later. We spend our time on recipes and research, not infrastructure.”
Founding team · Peri Happy- Client
- Peri Happy, perihappy.com
- Sector
- Health & consumer · Nutrition and community
- Status
- Live, launched September 2026
- Build
- One month, concept to live
- Labs' role
- Report → concept and spec → build → handover
- Now run by
- Edge Expert Services, deployed through Edge's agentic tooling
- Stack
- Multi-model planner · Constraint solving over an indexed library · Edge Compute, CDN, DNS and Shield
- Related
- Peri Happy on Edge ↗
Turn content into a product.
If you publish something people trust, there's probably a service hiding inside it. A month is often enough to find out.
Talk to Edge Labs