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/

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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

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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

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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: 00:00 - The Reality Check: Why generic AI prompts fail modern marketers 00:45 - Inside the Lab: Live screen shares and real workflows 01:25 - Free Episode Blueprints and Prompt Kits 01:55 - How to Watch & Subscribe

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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