Today's Guide to the Marketing Jungle from Social Media Examiner...
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Friday is almost here, Alluser! Before you unplug, here are the latest AI insights and updates for marketers. Whether you read them now or save them for later, you won’t want to miss these.
In today’s edition:
How to reset Claude’s memory
Use AI to scale video content research and production
🗞️ Industry news from ElevenLabs, OpenAI, and more
The 5-Minute Reset That Clears Claude's Outdated Assumptions
The longer you use Claude, the more it learns about your work: your role, your tools, your preferences.
That's useful. But context gets stale. Tools change. Projects end. And Claude keeps working from whatever it absorbed months ago.
Our AI Society Team has the fix: a memory audit that takes about 5 minutes.
How to do it:
Open Claude in the project where you do most of your work and say:
Audit your assumptions about me.
Put them in a table with what you believe, your source, your confidence level, and whether each item is confirmed.
Claude will surface everything it's carrying: role, tools, workflows, style rules, and active projects. Review the table and correct anything that's wrong, outdated, or no longer relevant.
For each correction, just tell Claude directly:
That's no longer accurate.
Here's what's changed [the new details].
Then ask it to update its memory or save a corrected summary to your project instructions.
Do this every 3–6 months, or any time you start a major new project.
Want a more structured version? We've built a downloadable Skill that automatically guides Claude through the full audit process. Find it in the Resource Library when you join the AI Business Society.
There's a Next Level With AI. Most Marketers Don't Reach It.
Not because they lack the tools. Because they don't have a trusted source cutting through the noise — telling them what's worth their time and what isn't.
The AI Business Society is that source. Every week, expert practitioners show you what's actually working right now, so you leave each session with something you can deploy immediately.
Show me what's inside.
The Outlier Video Method: Using AI to Study What Works and Create Your Own Version
Content creation has always been a grind. You film, you edit, you script, you post… and then you do it all over again.
Sandy Lee built a AI-powered content system that automates the research, identifies winning videos, and generates scripts in her own voice.
The result is a content pipeline that starts with a daily email of outlier videos, passes through an AI analysis of what's working, generates a script in her voice using a proven hook framework, and ends with Sandy hitting record on content she's already confident about. The system doesn't replace her creativity or her story. It takes the repetitive, time-consuming research and formatting work off her plate so she can focus on the part only she can do: showing up on camera.
It all starts with three foundational steps that underpin the whole system: finding your content identity, locating what already works on YouTube, and using AI to turn that research into a script that sounds like you.
Below, we cover the second step in her foundation:
Research YouTube Content With AI
After developing your ICP, the next task is to build a workflow or system that researches YouTube content for you.
Manually, this looks like going to YouTube, searching your topic, watching competitor videos, and noting what's getting traction. Sandy did this herself for years. Now AI does it for her.
She built a Claude Code system, trained with her ICP and content pillar descriptions, that monitors a curated list of ten YouTube channels in her niche.
Every 48 hours, the system identifies new videos and calculates an outlier score for every recent video across those channels using this formula:
Outlier Score = (Video Views in First 48 Hours ÷ Channel's Average Views in First 48 Hours) × 100
A score well above 100 means the video is outperforming the channel's norm; it's an outlier. This distinction matters. A video might have 500,000 views simply because the creator has a massive following; that's not an outlier, that's just scale.
What Sandy is looking for is a video that is dramatically over-performing relative to what that specific channel typically earns. She’s looking for a signal that the topic, format, or packaging itself is driving the result, not just the creator's existing audience.
Claude Code connects to YouTube's API to pull this data and runs the scoring automatically through an automation platform; Sandy uses n8n. Once the system identifies outlier videos, it emails Sandy a daily digest with the results. Instead of spending an hour each morning scanning channels, she opens her inbox and finds a prioritized list waiting for her.
She reviews the list, chooses a video, and moves on to the next step.
Other topics discussed include:
How to Develop Your Ideal Customer Profile & Content Pillars With AI
How to Analyze the Outlier Video With AI
How to Craft Your Video and Hook in Your Voice With AI
Today's advice provided with insights from Sandy Lee, a featured guest on the AI Explored podcast.
Stop Re-Explaining Your Feedback
You wrote it clearly. Added screenshots. They still got it wrong — because written feedback doesn't carry your intent. NoteGo records your screen while you talk through changes. Mark up exactly what you mean. The AI reveals every key point so your team gets it right the first time. From Michael Stelzner, founder of Social Media Examiner.
Try NoteGo Pro Free →
Anthropic Launches Claude Opus 4.8: Anthropic is upgrading its flagship Claude model with stronger coding reliability, enhanced honesty behaviors, deeper reasoning controls, and large-scale multi-agent workflow capabilities. The launch also introduces faster inference modes, new developer API flexibility, and expanded automation tooling aimed at enterprise AI workflows and advanced software engineering tasks. Anthropic
ElevenLabs Launches Dubbing v2 With Emotion-Preserving AI Translation Across 90+ Languages: ElevenLabs is expanding its AI audio and localization ecosystem with Dubbing v2, a new model focused on preserving emotional delivery, vocal tone, and speaking cadence during multilingual dubbing. The update targets creators, marketers, and media companies seeking more natural AI-powered localization workflows for video, advertising, and global content distribution. ElevenLabs
ElevenLabs Launches Music v2 With Advanced AI Song Editing and Multilingual Generation: ElevenLabs is expanding its AI audio ecosystem with Music v2, a more advanced music generation model focused on higher-quality vocals, flexible song composition, and granular editing controls. The update enables creators, developers, and brands to generate and refine full-length songs across genres and languages while integrating AI music generation directly into products, content workflows, and advertising tools. ElevenLabs
Google Expands AI Search With Preferred Sources, Publisher Labels, and Creator Perspective Features: Google is updating AI Search experiences to give users more control over which publishers and creators appear inside AI-generated results. The company is introducing Preferred Source labeling, expanded article and discussion carousels, and Highly Cited indicators to help users discover trusted reporting, original journalism, and firsthand perspectives more easily within AI-powered search experiences. Google
OpenAI Expands Codex Beyond Software Development: OpenAI has introduced a major update to Codex aimed at making the platform useful across a wider range of business functions. New role-specific plugins connect Codex to industry tools and workflows for teams in analytics, marketing, sales, design, investing, and banking, while a new Sites feature allows Business and Enterprise customers to generate and share interactive dashboards, workspaces, and applications through simple URLs. The company also expanded annotation capabilities to documents, presentations, spreadsheets, and websites, enabling users to refine AI-generated work more precisely. OpenAI
OpenAI Expands Enterprise Access Through AWS: OpenAI has made its frontier models and Codex generally available on AWS, allowing organizations to deploy OpenAI capabilities through infrastructure and governance frameworks they already use. Available via Amazon Bedrock, the integration enables enterprises to build AI applications while maintaining existing security, compliance, and operational controls. The launch also brings Codex, OpenAI’s software engineering agent, into AWS environments, helping development teams accelerate coding, debugging, code review, and modernization workflows without leaving their established development ecosystems. OpenAI
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