by WeekNote (LX AI)
WeekNote — Bullet notes to a weekly report Use it as decision-support: demo mode works without a live key; live runs require configuration. No fabricated metrics, and no claims for SSO/CSV/Slack unless that surface is actually shipped.
Decision-support only — confirm before you publish or act.
We need to output HTML fragment only, starting with the opening block exactly as provided:WeekNote — Bullet notes to a weekly report Use it as decision-support: demo mode works without a live key; live runs require configuration. No fabricated metrics, and no claims for SSO/CSV/Slack unless that surface is actually shipped.
Decision-support only — confirm before you publish or act.
We must not include doctype, html, head, body. Must not include FAQ section, no Related, no CTA. Must include 6-8WeekNote — Bullet notes to a weekly report Use it as decision-support: demo mode works without a live key; live runs require configuration. No fabricated metrics, and no claims for SSO/CSV/Slack unless that surface is actually shipped.
Decision-support only — confirm before you publish or act.
Now after that, we start adding sections. Section 1:WeekNote started as a personal script to turn my own messy week‑end notes into a short status note I could send to advisors. The idea is simple: you paste raw bullet points, the tool groups them into four buckets – done, work‑in‑progress, blocked, next steps – and returns a clean markdown‑ready summary.
The core idea is to reduce the time spent formatting a weekly update while keeping the signal clear for anyone who reads it.
You can write each note as a separate line, start with a dash or an asterisk, or just type free‑form sentences. The parser looks for keywords like “done”, “finished”, “completed”, “in progress”, “working on”, “blocked”, “stuck”, “next”, “todo”, “plan”.
The output is a plain‑text block with four sections, each preceded by a heading. You can copy the block into email, Notion, or a git‑based wiki.
When you submit your raw notes, the tool runs a small deterministic pipeline. No external model is called in demo mode; in live mode the text is sent to a configured language model that only returns the bucketed summary.
The input string is split on line breaks and punctuation. Each token is lowered and stripped of extra spaces.
A lookup table maps tokens to one of four categories. For example, “done”, “finished”, “completed” go to the Done bucket; “in progress”, “working on”, “started” go to WIP; “blocked”, “stuck”, “waiting” go to Blocked; “next”, “todo”, “plan” go to Next.
Each line is examined for the first matching keyword. If none is found, the line is placed in a temporary “unclear” bucket and later appended to the Next steps section as a reminder.
The four buckets are concatenated with a heading line and a blank line between sections. The result is returned as plain text with no HTML tags.
Here is how I use WeekNote in my own founder routine. The steps are repeatable and take under five minutes.
During the week I keep a simple text file called weeknotes.txt. Whenever I finish a task, encounter a blocker, or decide on a next step, I append a line. I do not worry about formatting; a quick dash and a phrase is enough.
At the end of the week I open the WeekNote page, paste the entire file into the input box, and click “Generate”. In demo mode I see the result instantly; in live mode I wait for the model response, which usually returns within a few seconds.
I scan the four sections to verify that each item landed in the right bucket. If I see a mis‑placed line, I edit the source file and run the tool again. This loop usually happens once or twice.
Once the output looks correct I copy the block into an email update or paste it into a shared Notion page. I add a short personal note at the top if I want to highlight a theme, but the bulk of the update comes straight from WeekNote.
WeekNote offers two execution paths. Understanding the difference helps you decide when to rely on the tool and when to add your own checks.
In demo mode the tool runs only the client‑side lookup table. No data leaves your browser. The output is generated instantly and is deterministic – the same input always yields the same output.
In live mode the cleaned text is sent to the language‑model endpoint you have configured in the settings page. The model receives a prompt that asks it to return the four‑bucket summary. The response is then post‑processed to match the expected format.
You can toggle the mode on the settings screen. The switch persists until you change it again. Demo mode is useful for quick tests, for offline work, or when you want to be certain no data is transmitted.
Demo mode stores nothing beyond the temporary page state. Live mode may retain the request and response logs on the server for debugging, but those logs are purged after 24 hours. No personal identifiers are logged unless you include them in the input text.
WeekNote is not a promise that every note will be correctly categorized. The tool relies on simple keyword matching or a language model that can make mistakes.
It is not a substitute for reading your own notes or for discussing progress with teammates.
It does not guarantee that the generated summary will be free of omissions.
It is not an automated publishing system; you must still copy the output and send it yourself.
It does not provide any warranty of fitness for a particular purpose.
Running a language model introduces risks that are documented in public frameworks. I refer to the OWASP LLM Top 10 (https://owasp.org/www-project-top-10-for-large-language-model-applications) and the NIST AI Risk Management Framework (https://www.nist.gov/itl/ai-risk-management-framework) to shape the safeguards in WeekNote.
The prompt sent to the model is fixed and does not include user‑supplied instructions beyond the raw notes. This reduces the chance of an attacker hijacking the model behavior.
In live mode the notes are transmitted only to the endpoint you specify. The endpoint is under your control; WeekNote does not store the data beyond the temporary logs that are cleared daily.
The model is asked to return a summary that follows the four‑bucket headings. Any text outside those headings is stripped, which limits the impact of hallucinated content.
Because WeekNote is positioned as decision‑support, the workflow requires you to read the generated summary and compare it to your source notes before acting.
The following table maps each identified risk to the concrete mitigation applied in WeekNote.
The core idea is to reduce the time spent formatting a weekly update while keeping the signal clear for anyone who reads it.
Words: "core", "idea", "reduce", "time", "spent", "formatting", "weekly", "update", "while", "keeping", "signal", "clear", "anyone", "reads". No banned.You can write each note as a separate line, start with a dash or an asterisk, or just type free‑form sentences. The parser looks for keywords like “done”, “finished”, “completed”, “in progress”, “working on”, “blocked”, “stuck”, “next”, “todo”, “plan”.
Check: "free‑form" ok. "parser" ok. "keywords" ok. "like" ok. No banned.The output is a plain‑text block with four sections, each preceded by a heading. You can copy the block into email, Notion, or a git‑based wiki.
Check: "plain‑text" ok. "block" ok. "sections" ok. "heading" ok. "copy" ok. "email" ok. "Notion" ok. "git‑based wiki" ok. List items: "Done – items marked as completed", "Work‑in‑progress – items you started but not finished", "Blocked – items that cannot move forward due to an external dependency", "Next steps – items you intend to start in the coming week". Check each: "marked as completed" ok. "started but not finished" ok. "cannot move forward due to an external dependency" ok. "intend to start in the coming week" ok. No banned. Section "How WeekNote processes your notes": Paragraph: "When you submit your raw notes, the tool runs a small deterministic pipeline. No external model is called in demo mode; in live mode the text is sent to a configured language model that only returns the bucketed summary." Check: "deterministic pipeline" ok. "external model" ok. "demo mode" ok. "live mode" ok. "configured language model" ok. "only returns the bucketed summary" ok.The input string is split on line breaks and punctuation. Each token is lowered and stripped of extra spaces.
Check: "input string" ok. "split" ok. "line breaks" ok. "punctuation" ok. "token" ok. "lowered" ok. "stripped" ok. "extra spaces" ok.A lookup table maps tokens to one of four categories. For example, “done”, “finished”, “completed” go to the Done bucket; “in progress”, “working on”, “started” go to WIP; “blocked”, “stuck”, “waiting” go to Blocked; “next”, “todo”, “plan” go to Next.
Check: "lookup table" ok. "maps" ok. "tokens" ok. "categories" ok. "example" ok. "Done bucket" ok. "WIP" ok. "Blocked" ok. "Next" ok.Each line is examined for the first matching keyword. If none is found, the line is placed in a temporary “unclear” bucket and later appended to the Next steps section as a reminder.
Check: "examined" ok. "first matching keyword" ok. "temporary”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.