by WeekNote (LX AI)
Open WeekNote, provide the required inputs, run Demo to preview the workflow, then switch off Demo when a live key is configured.
Bullet notes to a weekly report
Decision-support only — confirm before you publish or act.
I built WeekNote to turn a raw stream of weekly thoughts into a structured status note that you can copy‑paste into an email, a wiki, or a board update. The tool takes the sentences you paste, groups them into four buckets — Done, Work‑In‑Progress, Blocked, and Next steps — and returns a clean, copy‑ready outline. It is meant for founders, indie makers, and anyone who needs a quick first draft before they spend time polishing.
When I was juggling multiple side projects I found myself writing the same kind of summary every Friday: what got finished, what is still open, what is stuck, and what I plan to tackle next. Writing that from scratch took fifteen minutes each week and often left out details because I was tired. WeekNote automates the sorting step so you can focus on the content itself.
If you already have a template you love, WeekNote can still be useful as a sanity check: run your notes through it and see if anything got missed.
The first step is to gather the notes you have taken during the week. These can be bullet points in a notebook, stray lines in a todo app, or even voice‑to‑text transcripts. The only requirement is plain text; formatting such as markdown or rich text will be stripped before processing.
I keep a running document titled “Weekly‑brain‑dump” where I add a line whenever something noteworthy happens — a bug fixed, a meeting outcome, a blocked dependency, or an idea for next week. At the end of the week I copy the entire document into WeekNote’s input box. If you prefer daily notes, just concatenate them; the tool does not rely on date stamps.
If you notice that a particular phrase keeps landing in the wrong bucket, try re‑wording it slightly and see if the output changes.
After you have your raw text in the clipboard, open WeekNote, paste it into the large text area, and click the **Demo** button if you do not yet have a live API key. The Demo mode runs a local model that shows you how the classification works without consuming any external quota. When you are satisfied with the preview, replace the Demo toggle with your own key and hit **Run** to generate the final report.
WeekNote offers two execution paths so you can try the tool risk‑free before committing any paid credentials.
Demo is ideal for the first few runs, for experimenting with different phrasing, or for showing a colleague how the product works without exposing any API key. The Demo model runs entirely in the browser or on a local sandbox; no data leaves your machine.
Once you have an API key from the provider (the same key you would use for any other LLM‑powered feature), toggle the Demo switch off, paste the key into the settings field, and press **Run**. The live call uses the provider’s hosted model, which may give slightly different nuances but follows the same bucket logic.
The key is stored only in the browser’s local storage while the session is active. It is never sent to any third‑party server other than the model endpoint. If you clear the site data or log out, the key is removed. Treat the Demo output as ephemeral; it is not persisted beyond the page reload.
WeekNote’s core function is to map each input line to one of four categories. The mapping is based on a lightweight rule set that looks for indicative verbs and nouns. Below is a reference table that shows which trigger words tend to land in each bucket. This table is not exhaustive; it is meant to help you tweak your notes for better auto‑sorting.
| Bucket | Typical trigger words / phrases | Example input line |
|---|---|---|
| Done | finished, completed, shipped, resolved, closed, delivered | Finished the login refactor and deployed to staging |
| Work‑In‑Progress | working on, implementing, drafting, iterating, testing | Implementing the new pricing page UI |
| Blocked | waiting on, blocked by, stalled, dependent on, pending | Waiting on the design team for the banner assets |
| Next steps | plan to, will, need to, schedule, intend to, aim to | Plan to run a user interview on Thursday |
If you are building an LLM‑powered product yourself, you may want to consult external risk frameworks to ensure your classification logic does not inadvertently introduce bias or safety issues. Two useful references are the OWASP LLM Top 10 and the NIST AI Risk Management Framework. They discuss topics such as prompt injection, data privacy, and model transparency — areas worth reviewing even for a small utility like WeekNote.
Behind the scenes, WeekNote scans each line for the presence of any trigger from the table above. If multiple triggers appear, the algorithm picks the bucket with the highest priority in the order Done → WIP → Blocked → Next. Lines that contain no recognizable trigger are placed in Next steps by default, on the assumption that they represent intentions or ideas.
The current build does not expose a user‑editable rule set. If you find that a particular word you use frequently is mis‑classified, you can adjust your phrasing to include a stronger trigger. For example, instead of “Thinking about the API redesign”, write “Plan to start the API redesign next week” to push it into the Next bucket.
The output that WeekNote returns is plain text with clear headings for each bucket. You can edit it directly in the browser before copying it elsewhere.
Click inside any bucket list to add, remove, or re‑order items. The editor behaves like a standard text area; there is no hidden formatting that will break when you paste the content into email or a wiki.
If you make substantial changes to the input, press **Run** again to regenerate the buckets. Small tweaks — such as fixing a typo — do not require a re‑run unless you altered a trigger word.
WeekNote does not currently offer a direct “Export to PDF” or “Export to Markdown” button. The simplest workflow is to select all output text, copy it, and paste it into your preferred destination. Because the output is plain, it retains its structure in most rich‑text editors after a quick paste.
I keep a folder called “week‑notes‑archive” where I save each week’s output as a plain‑text file named YYYY‑WW‑WeekNote.txt. This gives me a searchable history without relying on any external service.
To get the most value, treat WeekNote as a checkpoint at the end of your work week rather than a one‑off tool.
Every Friday afternoon I allocate ten minutes: five minutes to gather my raw notes, five minutes to run WeekNote and polish the output. Having a fixed time prevents the task from slipping to Monday morning when I am already busy planning the week ahead.
When I send an update to my advisors, I paste the WeekNote output into the body of the email and add a brief personal note at the top: “Here’s what I accomplished this week; let me know if you see any gaps.” The structured format makes it easy for them to scan for Done items and spot any Blocked areas that might need their input.
At the end of each quarter I concatenate the thirteen weekly files and run a quick word‑count to see trends in how much time I spend on Blocked versus Done items. This informal reflection helps me adjust my workflow for the next quarter.
It is important to be clear about the limits of WeekNote so you do not rely on it for things it cannot do.
WeekNote does not promise that every relevant detail from your raw notes will appear in the output. If a line lacks a clear trigger word, it will be placed in Next steps even if it actually represents a finished task. You must review the result and move items as needed.
The tool only sorts text; it does not evaluate the quality, importance, or risk of any item. A Blocked item that is truly critical still requires your own assessment and possibly escalation.
You still need to provide the raw notes, decide when to switch from Demo to live mode, and perform a final read‑through before sharing or acting on the report. The automation stops at the bucketing stage.
This build does not ship with Slack notifications, SSO login, or bulk CSV import. If you see those features mentioned elsewhere, they are not part of the current version unless explicitly documented in the product changelog.
Runs may leave temporary traces in the browser’s local storage or in a local .data/ folder; treat Demo outputs as short‑lived. For live runs, no personal data is sent to any server other than the model endpoint, and the provider’s privacy policy applies.
Bullet notes to a weekly report
Operators and builders who need a fast first draft or checklist from WeekNote.
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.