Most people find NogginLogger because they want to track calories. That makes sense — it's the most common reason anyone downloads a health app. But once they start using it, something interesting happens. They realize the same five-second voice note that logs a meal can log anything.

The Idea Is Simple

If something happens, you can say it. If you can say it, NogginLogger can turn it into structured data. And once it's data, you can see patterns, set goals, and track progress over time.

That's it. There's no predefined list of "supported" things to track. There's no dropdown menu you have to fit your life into. You just speak naturally about what happened, and the AI figures out what category it belongs to, what numbers are involved, and how to organize it.

What People Are Actually Tracking

Here are real examples of the kinds of things you can log with a quick voice note:

Health basics — weight, blood pressure, medications, symptoms, doctor visit notes. "Took my blood pressure this morning, 128 over 82." "Took 10mg of lisinopril at 8am."

Fitness beyond the gym — hiking, swimming, yard work, physical therapy exercises, steps. "Walked 18 holes of golf, about 4 hours." "Did 3 sets of 15 squats and 20 push-ups."

Food with context — not just what you ate, but where, with whom, how it made you feel. "Had a burger and fries at Five Guys, spent about 14 dollars." That single sentence creates both a nutrition entry and a spending entry automatically.

Mental health — mood check-ins, anxiety levels, gratitude notes, therapy reflections. "Mood is about a 6 today, feeling a little anxious about the presentation tomorrow."

Sleep — hours slept, quality, what time you went to bed, whether you woke up during the night. "Slept about 6 and a half hours, woke up once around 3am."

Spending — purchases, bills, subscriptions, impulse buys. "Spent 47 dollars on groceries at Costco." "Paid 85 for the electric bill."

Hydration and substances — water, coffee, alcohol, supplements. "Had my third glass of water." "Two cups of coffee this morning."

Hobbies and activities — reading, birding, gaming, practicing an instrument, gardening. "Read 30 pages of my book before bed." "Spotted a red-tailed hawk at the park."

Work and productivity — meetings, sales calls, deep work sessions, project milestones. "Had a 45-minute sales call with the Johnson account, went well."

Habits you're building or breaking — streaks, frequency tracking, accountability. "Day 12 of no sugar." "Meditated for 10 minutes this morning."

How the AI Handles It

You don't need to tell NogginLogger how to categorize something. The AI reads your voice note and makes decisions:

Say "Ran 3 miles in 27 minutes" and you get an exercise entry with duration, distance in the notes, and a calorie burn calculated from your body weight using metabolic formulas. Say "Chicken burrito bowl at Chipotle, about 12 bucks" and you get both a nutrition entry with estimated calories and macros, and a separate spending entry for $12.

The AI doesn't need you to be precise. "Had a big salad for lunch" works. So does "Chicken Caesar salad, large, with croutons and extra parmesan, about 650 calories." More detail gives you more accurate data, but less detail still gives you something — and something is always better than nothing.

Tags Make It Personal

The built-in categories cover the broad strokes, but tags are where NogginLogger becomes truly personal. Tags are labels you create for anything you want to track independently.

Some examples:

Each tag gets its own detail view with charts, metrics, streaks, and goals. You can set daily, weekly, or monthly targets. You can choose whether to track by count, by value, by calories, or by a custom field you define.

And with auto-tagging keywords, you don't even have to say the tag name. Set "coke zero" as a keyword for #cokezero, and every time you mention it in a voice note, the tag applies automatically.

Custom Fields Go Even Further

For tags where you need to track specific data points, custom fields let you define exactly what to capture. Each field has a name, a type (number or text), a unit, and a chart mode.

A few examples of what people build:

The field schemas are injected into the AI prompt, so when you say "Blood pressure was 125 over 80," it knows to extract 125 into the systolic field and 80 into diastolic. You don't have to format anything — just speak naturally.

The Dashboard Ties It All Together

Every entry you create — regardless of category or tag — shows up on your dashboard in a unified timeline. But the real power is in the filtered views:

You can export any view to CSV. You can share any view as a social media card. You can ask the AI questions about your data: "How many days did I meet my squats goal this month?" and get a verified answer.

Start with One Thing

You don't have to track everything on day one. Most people start with food. Then they add exercise. Then they notice they're already mentioning spending in their voice notes, so they start watching that too.

The point isn't to track everything. The point is that you can track anything — and the barrier to doing so is just speaking out loud for a few seconds.

Whatever matters to you today, NogginLogger can capture it. And whatever starts mattering to you tomorrow, it's ready for that too.