by Standup AI (LX AI)
Open Standup AI, provide the required inputs, run Demo to preview the workflow, then switch off Demo when a live key is configured.
Turn scattered updates into one clean daily standup
Decision-support only — confirm before you publish or act.
I built Standup AI to replace the need for a daily synchronous meeting while still giving the team a clear view of progress, plans, and blockers. Each member writes three short notes: what they finished, what they are working on, and what is stopping them. The tool merges all notes into a single grouped summary that can be copied to Slack, emailed, or saved as markdown.
The workflow is deliberately simple. There is no calendar invite, no video call, and no required attendance time. Each person contributes when it fits their schedule, and the aggregated result appears in a few seconds. This approach works for distributed teams, for teams with overlapping shifts, and for any group that prefers written updates over spoken stand‑ups.
Because the output is generated by a language model, it is presented as decision‑support only. You should read the summary, verify that it matches your notes, and then share it. The tool does not act on your behalf; it only prepares a draft for you to review.
When you first open the app you see a clean layout with three labeled text boxes and a Demo toggle. The interface avoids unnecessary menus so you can focus on typing your updates. I kept the design minimal to reduce friction and to make the tool feel like a natural extension of your chat or note‑taking habit.
When you open the application you see three labeled text boxes: Done, Doing, Blocked. Each box accepts plain text. You can type full sentences, bullet points, or short fragments. There is no required markup, but placing each item on its own line makes the later parsing step clearer.
Use this box to record everything you completed since the last update. Think of finished work as anything that is ready for review, merged, or deployed. Examples include:
Use this box to note the work you are actively pursuing right now. These are tasks that have started but are not yet complete. Examples include:
Use this box to capture anything that prevents you from moving forward. Blockers can be external dependencies, missing information, or stalled reviews. Examples include:
After you have filled the three boxes, press the Preview button. The app will show a live preview of how the AI will combine your notes. If you notice any formatting issues, you can adjust the line breaks and try again. I recommend reading the preview aloud to catch any awkward phrasing before you finalize the standup.
Demo mode lets you see the full flow without providing an API key. When you toggle Demo on, the app replaces your inputs with a preset sample set and runs the summarization instantly. This is useful for checking the layout, the export buttons, and the copy‑to‑clipboard action.
When you are ready to use a real language model, toggle Demo off and paste your API key into the settings pane. The key is stored only in the browser’s local storage and is never sent to any third‑party server other than the model provider you choose.
The quality of the AI summary depends on how clearly you express your updates. I have found that a few simple habits improve the signal‑to‑noise ratio.
Instead of writing “Worked on the backend”, write “Implemented retry logic for the payment webhook handler”. Specific verbs and nouns give the model concrete anchors to group similar items.
When each line contains a single accomplishment, goal, or obstacle, the parser can split the text cleanly. This reduces the chance that unrelated items get merged into a confusing sentence.
Phrases like “I was busy” or “Things are going fine” add little value and can cause the summary to sound generic. Replace them with a concrete outcome or a clear statement of progress.
If a blocker stops you from shipping a feature, note the impact: “Blocked: missing sandbox credentials – cannot test payment flow”. This helps the team prioritize unblocking actions.
Read your three boxes as if you were explaining your day to a colleague. If anything sounds ambiguous, rewrite it before hitting Preview. I usually spend 30‑45 seconds on this step and it saves time later.
The AI output is a draft, not a final decision. Treat it as a starting point for a quick sanity check.
Compare the summary against your original notes. Every major point you wrote in Done, Doing, or Blocked should appear somewhere in the grouped text. If a point is missing, return to the input boxes, add any missing detail, and run Preview again.
The model tends to cluster similar themes. For example, all items about “testing” may appear together. If you see unrelated topics forced into the same sentence, consider splitting your inputs into more distinct lines or adding a clarifying phrase.
Occasionally the model produces a minor grammatical slip or an overly formal phrase. Edit the summary directly in the preview pane; the changes are reflected instantly in the export options.
I treat the final step as a gate: read the summary, make any needed edits, then click Copy to Clipboard or Export. Only after you have personally verified the content should you distribute it to the team.
Once you are satisfied with the draft, you can move the content into your team’s communication flow. Standup AI offers three export paths, each suited to a different workflow.
| Export format | When to use | Steps |
|---|---|---|
| Copy to clipboard | Pasting into Slack, Teams, or a chat thread | 1. Click the Copy button. 2. Switch to your chat app. 3. Paste and send. |
| Download as markdown | Archiving in a wiki, GitHub README, or documentation site | 1. Click the Download MD button. 2. Choose a file name. 3. Open the file in your editor and commit or upload. |
| Send via email | Distributing to a mailing list or external stakeholders | 1. Click the Email button. 2. Fill in recipient list and subject line. 3. Press Send; the tool uses your default mail client. |
I personally use the clipboard method for daily standups because it keeps the flow inside our Slack channel. For weekly retrospectives I export markdown and add it to our project wiki. The email option is handy when I need to share updates with stakeholders who do not use the team chat.
All exports preserve the exact text you see in the preview pane, including any line breaks you added. No extra formatting is injected, so you can rely on the output being a faithful copy of your reviewed summary.
I want to be clear about the limits of Standup AI so you can set realistic expectations.
These points are not meant to discourage use; they are meant to help you integrate the tool wisely into your existing process.
Turn scattered updates into one clean daily standup
Operators and builders who need a fast first draft or checklist from Standup AI.
Yes in explicit Demo mode. Live AI requires a configured key.
No. Outputs are decision-support; you still review before publishing or acting.
Only if those features are implemented in this product build — do not assume them from marketing copy.
Runs may be stored locally under the product's .data/ boundary; treat demos as ephemeral.