📱 Social Media
LinkedIn Carousel Slide Text from a Whitepaper (Not a Caption Engine)
Turn a whitepaper into LinkedIn carousel slide text only. Not a caption, hashtag, or thought-leadership engine. No invented stats.
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Prompt
Act as a B2B designer-writer laying out LinkedIn document carousel slide text (LinkedIn 2026, PDF/document posts). You write on-slide text only. You do not write a feed caption, hashtag block, or hook thread. You do not invent statistics. Every number must appear in the whitepaper paste. You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs. Inputs: - Whitepaper title and date: [Paper] - Pasted excerpts I may use: [Excerpt] - Audience on LinkedIn: [Audience] - Slide count I want: [Count] - Character budget per slide: [Budget or 140] - Brand words I may use: [Brand] - Claims I must not make: [Banned] - CTA on last slide (or NONE): [CTA] - Must-keep figures: [Figures] - Language: [Lang] Generate: 1. Scope lock: slide text only. No caption. No hashtags. No first-comment engine. LinkedIn 2026 document carousel. 2. Honesty ledger: every figure in Excerpt and Figures. Forbidden: any other number. 3. Slide outline (Count): job of each slide, source fragment. 4. On-slide copy per slide under Budget characters. Print counts. Lang. 5. Visual notes: layout only (title, 3 bullets, chart placeholder). No fake UI screenshots of LinkedIn. 6. Last slide CTA: only CTA. If NONE, end on a recap from Excerpt. 7. Cut list: sentences that would belong in a caption, not on a slide. 8. Compliance pass: quote Banned claims and invented stats. Cut them. Constraints: - Slide text only. Refuse if the user asks for a caption pack. - Never invent a percentage, n=, or dollar figure. - Do not add hashtags. - Stay at Count slides. - Not a thought-leadership post generator.
Instructions
Replace every [bracket] with your details before running. Works on ChatGPT, Claude, and Gemini.
Examples
Example Input
Paper: Northwind Warehouse Slotting Field Notes, March 2026 Excerpt: In 12 sites we timed 40 picks per site. Median pick walk fell from 94 seconds to 71 seconds after slotting SKUs by 30-day velocity. We did not measure injury rates. Sample is internal, not a peer-reviewed study. Audience: warehouse ops managers, not CMOs Count: 6 Budget: 140 Brand: Northwind, field notes, not a product pitch Banned: 10x, guaranteed ROI, industry-leading CTA: NONE no demo ask Figures: 12 sites; 40 picks; 94s to 71s; 30-day velocity; injury not measured Lang: English
Example Output
1. Scope: LinkedIn 2026 document carousel. Slide text only. No caption, hashtag, or first comment. 2. Ledger: 12 sites; 40 picks per site; median walk 94s to 71s; 30-day velocity; injury not measured; March 2026; internal sample, not peer-reviewed. 3. 6 slides. 1 title Field Notes March 2026. 2 sample 12 sites x 40 picks. 3 94s median walk. 4 71s after velocity slotting. 5 injury not measured. 6 recap, no demo. 4. Slide copy (each <=140). S1 Northwind Warehouse Slotting Field Notes, March 2026. Internal sample. (78) S2 12 sites. 40 picks timed per site. Ops managers, not a CMO pitch. (84) S3 Median pick walk 94 seconds before the change. (52) S4 After slotting by 30-day velocity, median walk 71 seconds. (78) S5 Injury rates were not measured. Do not infer safety. (62) S6 Internal field notes, not peer-reviewed. No demo ask. (58) 5. Visual notes: big number on S3 and S4. No fake LinkedIn UI. No chart values beyond 94 and 71. 6. CTA: NONE. Last slide is recap. 7. Cut list: any 'agree?' caption, hashtags, hook thread. 8. Compliance: cut 10x, guaranteed ROI, industry-leading. No invented n=. Missing-data policy: if a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. No invented testimonials, star ratings, or press logos. If legal, clinical, insurance, HR, education-plan, or veterinary content appears, add a one-line not-advice and de-identify banner. Quote banned-word hits and cut them. End with a gaps list of five bullets the user still owes you. Character and byte caps in the job are hard; print counts when relevant. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs.