ContextliContextli

Runners · Running Log

Log the run before the data leaves your legs.

Who this is for

Runners who want a record of distance, pace, and how the run actually felt, without fighting a watch app while gasping for air.

The moment this saves you

I finish a run knowing exactly how it felt, the legs, the breathing, the negative split I'm proud of, and by the time I've showered it's just a line of numbers with none of the story.

See it work

Messy spoken thought in. A clean, structured artifact out.

What you said

Okay just got back, good run. Did about 8k, took me like 42 minutes so that's around a 5:15 pace which is solid for me. First half I went out too fast, regretted it on the hill at the 4k mark, that always gets me. But I found a second wind in the back half and actually negative split it, which I'm pretty happy about. Legs felt good, slight tightness in the right calf I should keep an eye on. Beautiful morning for it.

running-log.md

Run log, June 5, 2026

  • Distance: ~8 km
  • Time: ~42 min (~5:15/km)
  • How it went: Out too fast, paid for it on the hill at 4k, found a second wind and negative split the back half
  • Body: Legs good; slight right-calf tightness to watch
  • Conditions: Beautiful morning

Happy with the negative split.

The workflow

1

Record a voice note

Hit the hotkey and talk, no formatting, no typing.

2

Tag it with this context

Contextli shapes your words into the structured output above.

3

Find it later

Everything's searchable and organised by context.

4

Pull it into Claude or ChatGPT

Bring your contexts straight into your AI tools with the Contextli MCP.

Your raw recording and transcription stay on your device, so you can always go back to the original.

The prompt behind this context

system prompt

I'm going to talk through a run I just finished. Turn it into a dated run log with labeled lines: a bold "Run log, [today's date]" heading, then Distance, Time (with pace if I give or it can be derived from distance and time I stated), How it went (the narrative, in my voice, keeping specifics like the hill or the split), Body (how my legs/breathing felt and any niggle), and Conditions (only if I mention weather/terrain). End with an italic line for what I was happy or frustrated about if I said. Use my exact numbers; never invent splits or distances. Output only the log.

Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.

Use this context

One click copies it and shows you exactly how to drop it into Contextli.

Next, open Contextli, go to the Contexts page, click Import, choose From JSON, paste, then Import Context. It is ready to use.

Make it your own. This is a starting point. Once it's in Contextli, tweak the instructions so the output comes out exactly how you like it.

Your raw recording and transcription stay on your device, so you can always go back to the original.

Related contexts

Questions people ask

Questions runners ask about Running Log

How do I keep a workout log without typing every day?

Speak your entry instead of typing it. The Running Log context accepts a spoken description of distance, effort, and how you felt and formats it into a workout summary with the date and relevant fields. You can log in under 30 seconds, hands-free, without opening a tracking app or typing a single character.

What should I include in a daily workout log entry?

A useful entry includes the date and time, the specific distance, effort, and how you felt you are tracking, and any relevant context such as what you were doing or how you were feeling. The Running Log context structures your spoken description to capture all of these automatically, so your log stays consistent even when you are rushing.

Can I share my workout log with my doctor?

Yes. The workout summary Contextli produces is plain text, so you can copy it into any app, email, or patient portal. Because entries are consistently structured with the same fields each time, a provider can read through multiple entries quickly. The raw recording and transcription stay on your device.

Is there a faster way to keep a workout log than a traditional app?

Speaking is faster than tapping through form fields. The Running Log context accepts a 15 to 30 second voice description and produces a complete workout summary with your distance, effort, and how you felt filled in. Most people log more consistently when the barrier is 20 seconds of speaking rather than two minutes of tapping.

How do I add this context to Contextli?

Copy the context on this page, then open Contextli and go to the Contexts page. Click Import, choose From JSON, paste it into the Import from Clipboard window, and click Import Context. It is ready to use in under 30 seconds. If you do not have Contextli yet, you can download it for free first.

Is my voice recording private? Does Contextli send it anywhere?

Your voice recording and the transcription are stored on your device only. Contextli processes your audio locally and does not send your recordings or transcription text to any server. The structured output it produces is text you control, and you decide where it goes.

Can I change what the output looks like?

Yes. Every context in Contextli is a starting point you can edit. Open the context in the app, change the instructions to adjust the structure, tone, or fields, and save. The next time you use it, the output reflects your changes. You are not locked into the default format.

Do I need to install an app to use this context?

Yes. Contextli is a free app. Download it, then copy this context and paste it into the Import from Clipboard window on the Contexts page. The whole process takes about 30 seconds.

Browse more

Running Log