Nutrition (Beta)

Trainer guide: nutrition coaching inside BuildStability

Nutrition coaching used to mean a separate app for your clients and a spreadsheet for you. Now it sits inside the same screens you use for training programs.

This page is the overview. What it gives you, where the controls live, and what a typical week looks like.

The shape of it

There are two halves to nutrition coaching in BuildStability, and they connect.

Plans (your side). You draft a nutrition plan with macros for training days and rest days for any client in about a minute. The AI sizes the targets from the client's profile and goal. You review the numbers and assign. Plans live alongside workout programs on the same client record.

Logs (your client's side). Your client logs what they ate on their portal in seconds. Five methods to suit the moment: magnifer-linear Search, barcode-scan Barcode, document-text-bold Nutrition label photo, camera-bold Meal photo, or chat-square-2-bold Tell Repley. Every log lands on your roster the next time you look.

The benefit is not either half on its own. It is the loop. You see what is actually happening in your client's eating without asking, and you can fix targets, swap their focus macro, or step in when the numbers drift.

What you actually get

- A nutrition plan for every client, drafted in about a minute. No macro maths. The AI starts from the client's age, gender, height, weight, training frequency, and goal, and proposes training-day and rest-day targets. - Daily logging that is faster than not logging. Five methods on the client portal so they pick whatever fits the moment. Search for known foods, scan a barcode for packaged groceries, snap the nutrition label for anything packaged but new, snap the plate for home-cooked or restaurant meals, or just type what they ate. - A roster view that mirrors the training side. Your Active Plans tabs now show each client's nutrition plan next to their workout. Empty cells get a "+ Generate" button so a missing plan is one tap to start. - Daily Fuel Score. A 0 to 100 number for each client so you can spot at a glance who fuelled and who did not, without reading individual logs. Weighted toward protein (60 percent) because that is where the research lands. - Adherence summary. Last seven days of intake vs target, weekend drop-off detection, average Fuel Score. Ask Repley "how is Sarah tracking?" or open her page directly. - The food list is built for Australians. Coles, Woolworths, Aldi private labels, GYG, McDonald's, KFC, Hungry Jack's, Subway, My Muscle Chef, Lite n' Easy, Bulk Nutrients, MyProtein, plus AUSNUT, the official FSANZ Australian government food data behind them. About 51,000 foods. None of the other major trackers (MyFitnessPal, Cronometer, MacroFactor) integrate AUSNUT, so when your client logs a Coles roast chook they're matching against an entry from somewhere that actually sells it.

Where to find each piece

Open a client's profile and the nutrition section sits next to their workout history. You do not need to learn a new screen.

- Generate a new plan. Open the client, find the Nutrition section, tap sparkles-bold Generate plan. Or ask Repley: *"Generate a cut plan for Sarah."* Repley returns a card with Open & assign, Save as template, and Adjust buttons. - See the active plan and today's logs. Open the client. The Nutrition section is right there. Today's logs are split into Breakfast, Lunch, Dinner, Snacks tabs. - See nutrition across your whole roster. Dashboard, Active Plans tab. Or Clients, Active Plans tab. Each client row shows their workout plan AND their nutrition plan. KPI tiles up top. - Search the food list. Library, Food Database tab. Browse, search, filter by source. Restaurant items show a small confidence chip where macros carry a wider range. - See which foods clients are searching for that we do not cover yet. Food Database tab, *Missing foods* tile. Useful for spotting gaps in coverage that matter to your clients. - Edit or override a client's log. Open the client, Nutrition section. Tap the pen-linear pencil on any log to fix the portion, or the trash-bin-trash-linear bin to remove it. The original log is preserved alongside your correction. - Talk to Repley about nutrition. Chat sidebar, top-right on web, bottom bar on mobile. Try *"how is Mike tracking this week"*, *"generate a maintenance plan for Jen"*, or *"what foods are clients searching for that we are missing"*.

What a typical week looks like

This is the rhythm we have seen work. Adapt to your style.

Day 1: new client, plan setup (5 minutes).

You set up a workout program for a new client. Before you assign it, open Repley and ask *"draft a cut plan for [client], 4 sessions a week"*. Review the macros, hit Open & assign. The client sees the plan on their portal the next time they open the app.

Days 2 to 6: your client logs, you do not have to look.

Your client logs meals as they go, or catches up that evening (they can backdate). The Today card on their portal shows them their Fuel Score and how each macro is tracking. They self-correct when they see they are under on protein or over on calories.

Day 7: your weekly check-in (5 to 10 minutes per client).

Open your Active Plans roster. Glance at the Fuel Score column. The clients with consistent green do not need an intervention. The amber and red rows are where you spend your time. Open those clients and look at the week. Is the protein hit rate dropping on weekends? Is the calorie target wrong now that they have leaned out? Adjust the plan, message the client, or just bring it up in the next session.

Monthly: re-evaluate plans.

If weight is not trending the way the goal needs, the macros probably need updating. Generate a fresh plan with the same goal and let the AI account for the client's current weight. Assigning replaces the old plan and the history stays for reference.

How you stay in control

- You review every plan before it assigns. The AI proposes. Nothing publishes itself. - You can edit any client's log directly. Same pen-linear pencil and trash-bin-trash-linear bin controls they have. Useful during review sessions. - The system learns from corrections. When your client edits an AI-proposed log, that fix feeds back in so the same misread is less likely next time. No training step needed from you. - Every plan change is reversible. Old plans are preserved in the client's history so you can roll back if a new direction does not work.

What this is not

- Not a meal-plan-by-recipe app. We give targets, not breakfast, lunch, and dinner schedules. Flexible protein-first tracking has higher long-term adherence than rigid meal plans (research is consistent on this). - Not a replacement for a dietitian. If your client has clinical needs like diabetes management, eating-disorder recovery, or allergies that require strict avoidance, refer out. This is general macro coaching for healthy adults. - Not finished. Logging is in Beta while we keep adding Australian restaurant and supplement chains. Photo accuracy is sharpest on single-plate meals.