Freeze one authorized article
This workflow serves authors, newsletter editors and content teams repurposing one approved article, not compiling a multi-source digest. Record owner, source URL, date and audience. Keep the exact confirmed text. Public extraction or the webpage-to-Markdown helper can miss tables, captions or later sections; compare against the accessible original. If extraction fails, use an authorized copy. Do not bypass login or paywalls, and do not assume every Substack page is freely reusable.
Remove private examples, subscriber details and credentials before server processing. The studio supports editing and confirming extracted text, but real AI generation transmits that text to a provider after consent. Helper tools have their own upload behavior. A synthetic offline preview is a demonstration only, not a transformation of your article.
Generate a bounded draft
Define language, tone, audience and an optional call to action. Do not ask a punchier hook to imply a result the article never established. Save a baseline after a successful real run and record the source revision. Do not treat partial streamed text or a failed run as approved output.
The tool provides hooks, claims with evidence, an X thread and a LinkedIn draft. Review all content that will actually be copied, not merely the claims panel. A source quote may be exact while a hook exaggerates it. Generated evidence is a review aid, not independent fact-checking.
Review meaning before shortening
For each final statement, retain its exact passage and context in a separate ledger. Check names, dates, denominators, units, comparisons, causal language and uncertainty. A substring match proves occurrence only. The article itself may be mistaken; unresolved facts should be qualified, omitted or escalated rather than strengthened.
Use text diff to explain manual changes. A revision that removes “in this sample” or “may” can change meaning while reducing characters. Recheck edits to posts against source evidence; a mapping created before editing can become stale. Generic character/word statistics support readability and budgeting, not platform acceptance.
Verify links and the final platform text
Extract HTTP/HTTPS URLs and inspect their query parameters for mistaken destinations, tracking identifiers or sensitive values. Do not blindly strip all parameters: some are necessary for the correct page. Preserve original and approved replacement in the ledger. Markdown link checks are static and do not establish network availability; open each final intended destination separately.
Use the studio counter for final numbered X posts: its implementation counts weighted characters including the numbering prefix, rather than ordinary character totals. The LinkedIn check uses UTF-16 length, not a universal visual-character count. After edits, recheck limits in the tool and paste into the intended platform editor to inspect line breaks, numbering, links and truncation. This workflow does not promise future platform-policy compatibility or automatically publish.
Deliver drafts and a separate ledger
Export the reviewed TXT or Markdown and open the exact file. Confirm the same final post text and order. These exports contain X and LinkedIn drafts, not the full hooks/claims/evidence record. Save the source revision, evidence mapping, review decisions, link changes, unresolved questions and reviewer separately in an authorized local package.
Hash final source, draft and ledger files after the last edit. Hashes identify bytes, not truth. Assign a publishing owner and leave publication as a separate approval. Use editorial brand-voice review for broader style, weekly digest review for multi-source selection, and campaign-link preflight for tracking deployment. None replaces the claim-by-claim review of these drafts.