wowerpoint

# Wowerpoint One doc in, one deck out. Slide-deck only — videos and podcasts from the same engine are noticeably worse and out of scope; refer the user to the `notebooklm` CLI directly if they want those. ## Triggers - "Wowerpoint <file>" - "Make a slide deck about <file>" - "Turn this report into slides" - "Kawaii-deck this" ## Setup (one-time per machine) If `notebooklm auth check` returns 0 and `command -v jq` resolves, skip. ```bash uv tool install --with playwright --force notebooklm-py $(uv tool dir)/notebooklm-py/bin/playwright install chromium ``` `jq` is required by the workflow's JSON parsing; install if missing (`brew install jq` on macOS, or your distro's package manager). Then the user authenticates interactively — do not script. Tell them to type `! notebooklm login` so the OAuth ENTER lands in their terminal. ## Workflow ### 1. The source doc You need exactly one source doc. If it doesn't exist or is too thin to carry a deck, **write it first** — use mem-search and sequential thinking to make it comprehensive (long-form, narrative, several thousand words is normal). Do not paper over a weak source by adding more sources. ### 2. Auth pre-flight ```bash notebooklm auth check 2>&1 | tail -5 ``` Exit 1 with `Run 'notebooklm login' to authenticate.` = halt and tell the user. ### 3. Create notebook, add the source ```bash NOTEBOOK_ID=$(notebooklm create "<title>" --json | jq -r .notebook.id) notebooklm source add "<doc-path>" --notebook "$NOTEBOOK_ID" --json ``` Title: H1 of the source doc, or its filename stem; append a date for dated work. `create` returns the id at `.notebook.id`; a wrong key gives an empty string and a silent downstream failure. ### 4. Generate the deck ```bash notebooklm generate slide-deck "<PROMPT>" --format detailed --length default --notebook "$NOTEBOOK_ID" --json --retry 2 ``` ### 5. End your turn Print the notebook URL: ```text https://notebooklm.google.com/notebook/<NOTEBOOK_ID> ``` NotebookLM sends the user a notification when the deck is ready. ## The prompt One sentence. Default: ```text Use kawaii characters to tell the story of <subject>. Keep it warm and clear. ``` Replace `<subject>` with a one-phrase description from the source doc's H1 or the user's framing. If the user supplies their own prompt, pass it through verbatim — don't expand it. ## Failure modes - **`pip: command not found`** — modern macOS doesn't ship pip on PATH. Use `uv tool install`. - **`Playwright not installed`** — install `notebooklm-py` with `--with playwright`, then `playwright install chromium`. - **`Run 'notebooklm login' to authenticate`** — only the user can complete OAuth. - **Rate-limit (`GENERATION_FAILED` or "No result found for RPC ID")** — `--retry 2` handles transients; persistent failure means wait 5–10 minutes or fall back to the web UI. - **Source upload denied for sensitive docs** — confirm before adding sources containing credentials, customer data, or unreleased product info. NotebookLM is a Google service. - **`--length long` does not exist** — only `default|short`. If the user asks for "long slides," use `default` and explain. - **No `--style` flag** — kawaii lives in the prompt text. ## Operational tips - **Rerun cheaply** — once the notebook + source exist, regenerating with a different prompt only repeats generation. Reuse `NOTEBOOK_ID`. - **Web UI fallback** — if generation is rate-limited >30 minutes, open the notebook URL and trigger generation in the UI.