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Most podcast repurposing depends on whoever has time that week, so it comes out inconsistent or not at all. Rich Brooks of Flyte New Media shows the Claude project that drafts his blog post, social copy and SEO fields from one transcript, and how he keeps it sounding like him.
KEY TAKEAWAYS
Rich spends five to 10 minutes editing a Claude draft instead of two to three hours writing the post himself.
His project instructions set exact rules per platform, including no hashtags on Facebook and "link in bio" on every Instagram post.
He uploaded finished outputs he was proud of as knowledge docs so the project could see what good looks like.
When the drafts overused "actually," Rich capped it at once per post, and the project now reports what it removed.
Republishing the edited post as a Friday LinkedIn newsletter takes about 10 minutes and has drawn more than 1,300 subscribers.
CHAPTERS
00:00 Two to three hours per blog post, cut to 10 minutes of editing
01:19 Why repurposing broke down whenever client work came first
04:02 Recording in Descript and exporting the transcript
07:49 "Do your voodoo" and uploading the transcript as markdown
08:08 Descript returns 10 clips, Rich keeps the best three
10:50 Capping "actually" at one use per post
12:29 Republishing the blog post as a LinkedIn newsletter
16:04 Uploading finished examples as knowledge docs
18:29 Why a raw transcript may rank worse than a structured post
21:05 What changed on social: LinkedIn and YouTube, not Facebook
22:50 Where to find Rich
https://www.agorapulse.com/blog/ai-social-playbook/e8/
CONNECT WITH RICH BROOKS
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LinkedIn:
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The customer interviews that would tell you what your buyer thinks take weeks to book, and a survey only answers the questions you already thought to ask. Luan Wise builds a B2B buyer in Claude from research she already had, interviews her live, and switches Claude into the marketing lead's seat to work out what the answers mean for the campaign.
KEY TAKEAWAYS
Luan starts every persona from customer research she already has, because a blank page leads Claude down the wrong path.
Her seed prompt tells Claude to stay in character, skip generic marketing advice, and say so when something is uncertain.
Switching Claude from Sarah to the provider's marketing lead in the same chat turns the interview into an instant debrief.
Sarah rated her protection a four out of ten, and admitted she'd never asked her IT provider a direct question about it.
Her biggest barrier was the relationship: she didn't want her provider to feel accused, so she wants prep material and plain language before any sales call.
Luan asks Claude for a percentage confidence on its answers, and keeps asking why when the number comes back low.
CHAPTERS
00:00 The buyer who assumed her IT provider had it covered
00:54 Why Luan swapped surveys and focus groups for AI role-play
02:12 Plan your scenarios before you type a prompt
03:16 The seed prompt: build Sarah from research you already have
05:19 The follow-up question a survey could never ask
07:17 Sarah rates her protection a four out of ten
08:30 Switch seats and let Claude debrief as the marketing lead
11:34 Would Sarah actually ask her IT provider?
12:19 "I've been asking the wrong question all along"
13:25 What Sarah's answers mean for your content and your jargon
15:23 Turn the avatar into a one-pager, a landing page or an email test
16:47 How to stop the persona agreeing with you
19:05 The biggest mistake: starting from a blank page
20:02 Geoff Woods and the AI board of directors
22:02 Where to find Luan
Luan shares her screen for most of this session, so the video is worth a look on YouTube.
Full episode breakdown and the blueprint: https://www.agorapulse.com/blog/ai-social-playbook/e7/
CONNECT WITH LUAN WISE
Website: https://www.luanwise.co.uk/
LinkedIn: https://www.linkedin.com/in/luanwise/
Instagram: https://www.instagram.com/luanwise/
THE AI SOCIAL PLAYBOOK
YouTube: https://www.youtube.com/@TheAISocialPlaybook
Apple: https://podcasts.apple.com/us/podcast/the-ai-social-playbook/id6808658318
Spotify: https://open.spotify.com/show/4tmvz9PRDHA9qX2SCoFF8h
Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/
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Generic prompts produce generic social posts, and the good ones you do write get stranded in a chat window you cannot find again. Loren Bartley fixed both with the same move: over 150 named skills inside one Claude project, handing work to each other until a week of posts lands in Agorapulse as drafts.
KEY TAKEAWAYS
A skill carries your standards as well as your instructions, so the work runs to the same bar every time instead of drifting with whatever you typed that day.
A chat with no memory of your past positions will contradict you across a month of posts, and you will miss it because you did not write them.
Loren rewrites her old talks with a skill called Trini before they enter her knowledge folder, so her ums and tangents never become source material.
Constance plans the quarter, Edison plans the week, Connie assigns the batch, and each one saves its output for the next cycle to read.
Naming 150 skills after their jobs turns the list into a retrieval system, which is how Audrey Ads Auditor gets found.
Agatha checks the approved rows before staging them and caught Loren attaching a still image to a post briefed as video.
CHAPTERS
00:00 Why another post stopped feeling like a chore
00:52 The two bottlenecks that had nothing to do with writing
02:17 Why a fresh chat every time produces contradictions
03:41 What a skill holds that a saved prompt does not
06:22 Inside the Content Accelerator project and its knowledge files
08:12 Trini rewrites her old talks before they enter the knowledge base
09:29 Constance builds the quarterly content reference guide
11:38 Edison turns the strategy into a weekly cycle brief
15:09 Naming 150 skills so she can find the right one
16:22 Connie assigns the batch to Caprice, Vivian and Hugo
17:51 Hubert's Notion hub replaces posts buried in chats
21:13 Agatha stages the approved rows into Agorapulse
23:17 Agatha catches the still image on a video post
26:22 What Loren does with the time she got back
28:04 Where to get Edison
Loren shares her screen for most of this session, so the video is worth a look on YouTube.
Full episode breakdown and the blueprint: https://www.agorapulse.com/blog/ai-social-playbook/e6/
Loren is giving away Edison, the skill that builds her weekly cycle brief: https://aimegasuccess.com/academy
CONNECT WITH LOREN BARTLEY
Website: https://impactiv8.com.au/
LinkedIn: https://www.linkedin.com/in/lorenbartley/
Instagram: https://www.instagram.com/impactiv8/
THE AI SOCIAL PLAYBOOK
YouTube: https://www.youtube.com/@TheAISocialPlaybook
Apple: https://podcasts.apple.com/us/podcast/the-ai-social-playbook/id6808658318
Spotify: https://open.spotify.com/show/4tmvz9PRDHA9qX2SCoFF8h
Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/
THE AI SOCIAL PLAYBOOK
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Most social content gets built from random topics or from pillars that name subjects rather than objections, which earns engagement and no sales. Molly Mahoney maps the seven beliefs a buyer has to accept first, then turns one belief into a week of posts.
The seven belief categories are why me, why this, why you, why now, why not, why stay, and why worse.
Why stay is the category subscription products and memberships depend on, because the customer decides again every month.
Molly typed 9/11 into the why-now prompt on purpose and got a holiday-overwhelm line she called tacky and disrespectful. A human still decides which dates carry weight.
Her earlier version wrote a month of content at once and none of it got used, so this one caps the output at five posts from one belief.
A finished batch exports as a CSV and merges with the Agorapulse bulk upload template, so a week queues without retyping.
One client, a Toastmasters speaker who had only sold to friends and family, sold a $6,000 AI assessment and setup to a stranger after publishing against these beliefs.
CHAPTERS
00:00 The snarky meme that made Mike wince
00:38 Why content pillars don't move buyers
03:52 Brand first, beliefs second, one week of content per belief
07:29 One click, four beliefs per category
09:37 The 9/11 belief AI didn't know to refuse
10:11 Why stay, the category memberships and SaaS live on
12:06 Inside the story bank: quotes, metaphors, memes
14:58 Why the tool refuses to write a month at once
15:39 The five-post batch, conversation starter to POV meme
19:18 CSV export straight into Agorapulse bulk upload
22:55 The $6,000 sale to a total stranger
https://www.agorapulse.com/blog/ai-social-playbook/e5/
CONNECT WITH MOLLY MAHONEY
Website: https://mollymahoney.com/
LinkedIn: https://www.linkedin.com/in/mollygolive
Instagram: https://www.instagram.com/mollymahoneyofficial
Connect with Mike Allton: https://www.linkedin.com/in/mikeallton/
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Most social teams brainstorm content ideas from memory or a generic AI prompt, then wonder why nothing sounds different from a competitor's post. Christopher Penn, Chief Data Scientist at TrustInsights.ai, pulls real audience questions straight out of Reddit and turns them into a ranked list of 100 video topics.
In this episode:
A model on par with Claude Sonnet 5 can run for about 1/40th the cost through a smart-and-cheap provider pick.
Reddit's questions, not its answers, make the safest source material, with a human still filtering trolls and skipping competitor mentions.
One Gemini Notebook prompt turns a raw Reddit export into 100 ranked questions.
Recording on an iPhone in a kitchen can beat a polished studio setup on platforms downranking synthetic-looking video.
Turning on YouTube's third-party training permission gets a creator's expertise cited by AI agents.
Timestamps:
0:00 - The line that opens every failed AI pipeline
2:39 - Why Chris skipped Claude Code for OpenCode
5:05 - Mapping models by smart-and-cheap, not by brand
9:45 - Why a product requirements document comes before any code
13:31 - The one file that survives an AI's memory getting compressed
17:50 - Turning a Reddit export into a grounded notebook
20:51 - The exact prompt that produces 100 ranked questions
22:05 - Why a human still filters trolls and skips competitors
25:00 - Recording in a kitchen on purpose
29:07 - The YouTube setting that trains AI on your expertise
31:52 - The one trap that breaks every rushed AI pipeline
Guest: Christopher Penn, Chief Data Scientist, TrustInsights.ai
trustinsights.ai · christopherspenn.com · LinkedIn
Full show notes and transcript:
https://www.agorapulse.com/blog/podcasts/ai-social-playbook/e4
THE AI SOCIAL PLAYBOOK
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Claudia Sandino spent up to a month building one content calendar in Google Sheets, then sent her boss four separate folder links so he could approve a single post. In this session she rebuilds that calendar as an interactive hub in Claude Design, edits it by talking to it, and says plainly where the tool still falls short.
What you'll take away
Load your design system first: logo, fonts, colors, nothing more.
Her calendar prompt, with dropdowns per platform and ownership tabs.
Moving a week of posts to next month takes one sentence.
No multi-person editing yet, so she hands off to Canva through MCP.
Raw and unbranded, it invents data, so she reads every cell and checks the dates.
She built a reels production tracker with the time she got back.
Chapters
00:00 Why spreadsheets stall social approvals
02:36 Load the design system before you prompt
03:11 Why the perfect prompt matters less than experience
03:52 The calendar prompt she typed
06:46 Brief in Claude, or go straight to Design?
09:00 The second pass on a clunky first draft
09:53 A month of building against one conversation
11:00 Why 80% of a post happens off-platform
11:50 Sharing it with a boss
12:41 Moving a full week with one sentence
13:36 The approval chain that cost four clicks
14:56 The limitations and her review pass
16:25 An Agorapulse data dump as a visual report
17:31 The reels production tracker
19:23 Where to find Claudia
Guest
Claudia Sandino is the Founder of Chief of Influence and a Social Media Director who has spent 15 years scaling brands from startups to the Fortune 500. She works at the intersection of AI automation and brand frameworks, helping teams move faster on content without losing the strategy behind it.
LinkedIn: linkedin.com/in/socialmediaclaudia
Website: chiefofinfluence.com
Instagram: @clauds.ai
Full breakdown, the prompts, and the free Episode 3 Blueprint
https://www.agorapulse.com/blog/ai-social-playbook/e3
The AI Social Playbook is brought to you by Agorapulse and archie.app. If this was useful, subscribe on YouTube or leave a review on Apple Podcasts.
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Most AI video demos stop a scroll and then go nowhere. Jeff Sieh built a 40-second animated show open in one Saturday, and on this episode he walks through every tool in the chain that got him there.
What you'll learn
Why Jeff writes the song in Suno first and cuts the storyboard to the finished audio
How he pulls the SRT file out of Descript so Claude can time the shots to the music
Why he attaches character reference sheets to every prompt and starts a fresh chat each time
What a start frame and an end frame do, and why you cannot render from an end frame alone
What it costs: roughly $100 in Magnific credits for both animations in a single pass
How arguing with Claude produced a custom After Effects rig instead of a working answer
Chapters
00:00 Why this is not AI slop
00:37 What we are building today
02:23 Novelty AI video against a sponsor spot that pays for itself
04:19 Fifteen-minute guest theme songs in Suno
06:17 The pre-production gap that breaks brand consistency
07:11 The Makers Table claymation open
09:59 Why the song gets written before the shot list
11:45 Reusing one song for every guest with Suno's Cover feature
13:43 Character reference sheets, palettes and the fox sweater
14:57 Inside Claude's twelve-shot storyboard document
17:21 The Magnific render dashboard
18:07 What the rendering credits actually cost
20:08 Start frames and end frames explained
22:15 Letting Magnific pick the model
23:07 What this project would have required before AI
25:11 Twelve books into social content and Spanish audiobooks
26:19 Arguing Claude into building an After Effects rig
28:46 The frame mismatch that wastes your credits
29:38 Where to find Jeff
About the guest
Jeff Sieh is Head Beard at Social Media News Live and an international speaker and visual marketing consultant. He hosts the Social Media News Live show and podcast, and co-hosts The Makers Table with Katie Fawkes, the show whose animated open he deconstructs here.
Website: socialmedianewslive.com
LinkedIn: linkedin.com/in/jeffsieh
He is @jeffsieh on every network.
Watch the screen shares and grab the playbook
Jeff walks through his Suno library, his ChatGPT character sheets, Claude's storyboard document and the Magnific dashboard on camera. The full episode page has the video, the complete transcript and The Automated Brand Animation Playbook as a download.
https://www.agorapulse.com/blog/ai-social-playbook/e2
The AI Social Playbook is hosted by Mike Allton and brought to you by Agorapulse and archie.app.
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Your listening tool counts mentions and stops there, so a month of comments arrives as a pile nobody has time to read. Brooke Sellas, CEO of B Squared Media, shares her screen and runs 1,902 of them through Claude to find the complaints that are actually costing the brand money.
What you will take away
A negative sentiment score cannot tell a pricing objection from a shipping delay or a rude support reply.
Claude trimmed 1,902 incoming messages to 1,829 real conversations by stripping spam unprompted.
The biggest theme, odor at 249 mentions, split 49% positive against 40% negative, so it is a coin flip.
Ranking by one-sidedness lifted dust to second on 66 negative mentions, since 55% of dust mentions are negative.
The discount double-check makes Claude show verbatim comments and row locations alongside its summary.
The FAQ pass returned a ranked question list matched to formats, including a competitor comparison page.
Chapters
00:00 Manual listening reports miss the real questions
00:51 Social listening by hand, one spreadsheet row at a time
02:21 Why a negative score hides four different problems
03:26 Conversation is home turf for a language model
05:07 Pulling one month of conversations out of your inbox
06:09 The context block that goes in before the instruction
07:45 What counts as a meaningful sample
09:08 1,902 messages in, 1,829 after the spam is gone
09:50 The biggest theme is a coin flip
11:05 Start with the objections, not the 82% praise
12:19 Ranking by one-sidedness instead of theme size
14:17 The discount double-check
15:29 Put the citation request in the first prompt
16:02 The what we heard loop with clients
17:39 Answering the question where it was asked
19:05 The FAQ list and the competitor comparison page
20:57 Why she skipped her Claude project
22:01 Three ways a first run goes wrong
24:12 Six months of hand-coding down to a couple of hours
26:08 Where to find Brooke
About our guest
Brooke Sellas is CEO of B Squared Media, a social experience management firm that runs social care for brands including Brother International, Miele, and BCU. She wrote Conversations That Connect, teaches social care through UCI and LinkedIn Learning, and was doing conversational analysis by hand long before software existed for it.
Website: bsquared.media
LinkedIn: linkedin.com/in/brookebsellas
YouTube: youtube.com/c/hellobsquared
Full episode, prompts, and transcript
https://www.agorapulse.com/blog/podcasts/ai-social-playbook/e1
THE AI SOCIAL PLAYBOOK
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Stop guessing your AI workflows. Watch real builders share their screens and grab the free prompt kits here: https://agorapulse.com/blog/ai-social-playbook/
Let’s be honest - social media moves way too fast to keep up doing things the old way. Between constant platform algorithm changes and the pressure to publish daily, just working more hours isn't a strategy. And typing "give me 10 post ideas" into ChatGPT? That just gives you the same generic stuff your competitors are already posting.
Welcome to The AI Social Playbook - a hands-on tactical lab built for modern social media practitioners and marketing leaders who are ready to build something bigger.
We completely skip the 20-minute resumes and high-level corporate fluff. Each week, we sit down with elite practitioners and brand builders who are actually winning with AI on social. We don't just talk about their strategy - we make them share their screens.
You’ll see their exact prompt chains, multi-agent setups, and workflows in real time so you can replicate what works and avoid what breaks.
Inside the Lab:
Live screen shares of real AI workspaces and prompt setups
Practical shortcuts that give lean marketing teams unfair leverage
How top operators use human judgment to eliminate generic AI slop
Free companion blueprints and prompt toolkits with every single episode
Timestamps:
New masterclasses drop every Monday right here on YouTube. Hit Subscribe, dive into our first episode, and let’s build together!
Hosted by Mike Allton, Chief Storyteller at Agorapulse.
The AI Social Playbook is powered by Agorapulse and built with Archie.app.
Connect with Mike Allton on LinkedIn: https://linkedin.com/in/mikeallton
Explore Agorapulse: https://www.agorapulse.com
Discover Archie: https://archie.app
#AISocialMedia #TheAISocialPlaybook #SocialMediaMarketing #AIWorkflows #Agorapulse #MarketingAutomation
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