…
)”. So we need to output something like: Then blank line then HTML blocks. We need to include a title line: “Title: …” then newline then content. We must not include any thinking process. We must ensure word count between 450 and 500 inclusive. Let’s craft about 470 words. We need to count words. Let’s draft and then count. We’ll produce title line separate, then content. We’ll need to count words in the content only? The instruction: “The article MUST be between 450-500 words.” Likely includes everything after Title line? Probably includes the whole article content (including title?). Safer to count everything after “Title: …” line inclusive? We’ll count everything after the title line (the body). Let’s aim for ~470 words in body. We’ll need to write paragraphs with HTML comments. Let’s draft: Title: Automating Caption Drafts – From Transcript Snippets to Platform-Optimized CopyIndependent podcasters and YouTubers can turn long‑form audio into a steady stream of short‑form clips by automating two steps: selecting compelling moments and drafting platform‑optimized captions. AI handles both, freeing creators to focus on storytelling.
First, use a clip‑selection tool such as Flowjin or AI Podcast Clip Maker. Feed the full transcript; the AI scores segments by energy, keyword relevance, and speaker change, then exports the top clips as video files with timestamps.
Next, send each clip’s transcript snippet to a text‑AI (e.g., GPT‑4) with a prompt that specifies platform, tone, and length limits. The AI returns a ready‑to‑post caption draft that respects character limits and styling rules.
Example Prompt
“Create a caption for a 15‑second clip from this transcript: ‘[INSERT SNIPPET]’. Target platform: Instagram. Tone: casual, include one emoji. Max two lines, 30‑40 characters per line. Output only the caption.”
AI‑Generated Draft Samples
Instagram: “Just dropped a tip that’ll change your workflow 🚀 #Shorts”
LinkedIn: “Leveraging AI to extract high‑impact moments from podcasts drives measurable engagement for B2B audiences.”
TikTok: “Watch how AI turns a 2‑hour podcast into a viral 15‑second clip 🎧✨”
Actionable Checklist for Caption Styling
☐ Font: Sans‑serif (Arial, Helvetica)
☐ Color: White text with dark outline or semi‑transparent black background
☐ Size: ≥30‑40 px for mobile readability
☐ Max lines: Two lines, 30‑40 chars each
☐ Placement: Lower third, centered
☐ Add a line break every 2 seconds of speech (if subtitles)
Checklist for Each Clip
☐ Verify transcript snippet accuracy
☐ Confirm tone matches platform (casual+emoji for Instagram, short+trendy for TikTok, professional+thought‑leadership for LinkedIn)
☐ Ensure caption respects platform length limits (IG ≤ 2200, TikTok first line ≤ 150, LI ≤ 3000)
☐ Run caption through AI‑generated draft tool
☐ Apply styling checklist
☐ Export video with burned‑in captions
☐ Upload to scheduling app (Buffer, Hootsuite) for automated posting
Workflow Overview
1. Upload long‑form audio to Flowjin → AI selects clips.
2. Extract transcript snippet for each clip.
3. Prompt text‑AI with platform‑specific instructions (see example).
4. Receive caption draft; apply styling checklist.
5. Burn captions into video (white text, outline, sans‑serif, 30‑40 px).
6. Send final clip to Buffer/Hootsuite for scheduled posting.
By chaining these AI steps, creators reduce manual editing from hours to minutes, maintain brand voice across platforms, and publish more frequently without sacrificing quality.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Independent Social Media Content Repurposers (Podcasters & YouTubers): How to Automate Short-Form Clip Selection and Caption Drafting from Long-Form Audio.
Now we need to count words. Let’s count manually. We’ll count words in the body (excluding the title line). We’ll need to be careful. I’ll copy the body text and count. Body: “Independent podcasters and YouTubers can turn long‑form audio into a steady stream of short‑form clips by automating two steps: selecting compelling moments and drafting platform‑optimized captions. AI handles both, freeing creators to focus on storytelling.” Count words: Independent(1) podcasters2 and3 YouTubers4 can5 turn6 long‑form7 audio8 into9 a10 steady11 stream12 of13 short‑form14 clips15 by16 automating17 two18 steps:19 selecting20 compelling21 moments22 and23 drafting24 platform‑optimized25 captions.26 AI27 handles28 both,29 freeing30 creators31 to32 focus33 on34 storytelling35. So 35 words. Next paragraph: “First, use a clip‑selection tool such as Flowjin or AI Podcast Clip Maker. Feed the full transcript; the AI scores segments by energy, keyword relevance, and speaker change, then exports the top clips as video files with timestamps.” Count: First,1 use2 a3 clip‑selection4 tool5 such6 as7 Flowjin8 or9 AI10 Podcast11 Clip12 Maker.13 Feed14 the15 full16 transcript;17 the18 AI19 scores20 segments21 by22 energy,23 keyword24 relevance,25 and26 speaker27 change,28 then29 exports30 the31 top32 clips33 as34 video35 files36 with37 timestamps38. 38 words. Next: “Next, send each clip’s transcript snippet to a text‑AI (e.g., GPT‑4) with a prompt that specifies platform, tone, and length limits. The AI returns a ready‑to‑post caption draft that respects character limits and styling rules.” Count: Next,1 send2 each3 clip’s4 transcript5 snippet6 to7 a8 text‑AI9 (e.g.,10 GPT‑4)11 with12 a13 prompt14 that15 specifies16 platform,17 tone,18 and19 length20 limits.21 The22 AI23 returns24 a25 ready‑to‑post26 caption27 draft28 that29 respects30 character31 limits32 and33 styling34 rules35. 35 words. Now heading: Example Prompt (not counted as words? Usually headings count as words? We’ll count them as words for safety but we can try to keep within range. Let’s count heading words: “Example”1 “Prompt”2. That’s 2. Paragraph after heading: “Create a caption for a 15‑second clip from this transcript: ‘[INSERT SNIPPET]’. Target platform: Instagram. Tone: casual, include one emoji. Max two lines, 30‑40 characters per line. Output only the caption.” Count words (including punctuation? We’ll count each token separated by spaces). “Create1 a2 caption3 for4 a5 15‑second6 clip7 from8 this9 transcript:10 ‘[INSERT11 SNIPPET]’.12 Target13 platform:14 Instagram.15 Tone:16 casual,17 include18 one19 emoji.20 Max21 two22 lines,23 30‑4024 characters25 per26 line.27 Output28 only29 the30 caption31.” 31 words. Next heading: AI‑Generated Draft Samples (2 words? Actually “AI‑Generated”1 “Draft”2 “Samples”3 => 3). Paragraph Instagram: “Instagram:” maybe counts as a word? We’ll count. Paragraph: “Instagram:”1 “Just2 dropped3 a4 tip5 that’ll6 change7 your8 workflow9 🚀10 #Shorts11” Count: Instagram:1 Just2 dropped3 a4 tip5 that’ll6 change7 your8 workflow9 🚀10 #Shorts11 => 11 words. LinkedIn paragraph: “LinkedIn:”1 “Leveraging2 AI3 to4 extract5 high‑impact6 moments7 from8 podcasts9 drives10 measurable11 engagement12 for13 B2B14 audiences15” Count: LinkedIn:1 Leveraging2 AI3 to4 extract5 high‑impact6 moments7 from8 podcasts9 drives10 measurable11 engagement12 for13 B2B14 audiences15 => 15 words.