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LinkedIn Video, Filming Tips, Building AI agents, and More

 
Today's Guide to the Marketing Jungle from Social Media Examiner...
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We're halfway through the week, Alluser, how's your marketing strategy holding up? Today's tips and insights will help you fine-tune your approach.

In today's edition:

  • Stop LinkedIn from cutting off your video elements

  • 3 ways to film in public with confidence

  • Building AI agents for your business

  • 🗞️ Industry news from Instagram, LinkedIn, YouTube, and more

LinkedIn Video: The Secret Safe Zones

Tired of your carefully crafted vertical videos getting chopped up on LinkedIn? After months of frustration watching her captions disappear and key visuals get cut off, Michelle J. Raymond tracked down LinkedIn's official specs showing exactly where the safe zones are.

Turns out we have way less usable space than we thought (especially for those of us who love big, bold captions).

She shared the actual graphic from LinkedIn in her full post so you can see exactly where to position your important content. This is gold if you're serious about video marketing that doesn't get mangled by the platform. Read more here.


Filming in Public With Zero Embarrassment

Ever found yourself frozen with a camera in hand because everyone seems to be watching? You're not alone.

From dealing with curious onlookers to those judgmental stares, Jessica Stansberry's been there—sweating it out on busy sidewalks and dodging traffic while trying to look normal talking to a lens. 

But she's got some tricks up her sleeve. She's sharing her favorite stealth filming techniques, location hacks, and perspective shifts to help you survive those first awkward public filming sessions.

Whether you're filming in your hometown or traveling, these practical tips will help you build confidence without dying of embarrassment. She even addresses the elephant in the room—do you even need to film in public at all? Watch more here.

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Discover new tools to streamline your workflow, allowing you to create stunning visuals, automate tasks, and repurpose content effortlessly. 

Experience practical demos and actionable strategies, all at no cost. Don't miss this opportunity to stay ahead with cutting-edge AI innovations.

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Building AI Agents: How to Get Started

Curious about AI agents but not sure where to begin? Wondering how entrepreneurs and marketers are using them to save time and scale operations?

In this article, you'll discover a beginner-friendly framework and tools for building and deploying AI agents—along with practical tips and tools to help you get results faster and more efficiently in your business.

The potential upsides for businesses that embrace AI agents are significant. For example, you can strengthen your brand and make your customer experience more engaging.

Pizza My Heart, a popular pizza chain in Silicon Valley, styled its AI agent as "Jimmy the Surfer" to match the brand's advertising character. The agent maintains the surfer personality, creating brand continuity throughout the customer interaction. Consumers text the agent, which can recommend pizzas, process orders and delivery requests, and even follow up afterward to ask about customer satisfaction.

At Unstoppable Domains, Carter's team implemented an AI agent to handle customer support inquiries. Their agent now answers approximately 30% of customer questions, and remarkably, this automation led to a 10-point increase in customer satisfaction scores.

If you're interested in building AI agents, you don't need to be a technical expert to begin working with AI agents. Many platforms now offer no-code or low-code solutions that make agent creation accessible to marketers and business owners.

Here's a structured approach based on her experiences and recommendations:

Start with Education

First, Carter suggests taking an overview class on AI agents to get a foundational understanding. This approach helps you avoid some of the trial and error she experienced when she began working with agents.

Next, explore active agents you encounter in the course of your work or personal life. If you can, ask the businesses about the tools they used to build their agents.

This hands-on exposure to functioning agents will help you understand the possibilities and limitations before building your own agent. It will also give you valuable insights into what creates a positive agent interaction.

Define Clear Objectives

Before you build, make sure you know where you'll use the agent and what you want it to do for you or your customers. 

Knowing this will help you determine:

  • What functionality your agent will need

  • What data sources you'll use to train it

  • How much autonomy to give it

  • What platforms it should integrate with

For example, suppose you want to build an AI agent to help consumers order a pizza. In that case, you want it to function autonomously when giving advice about what type of pizza someone should order but not when answering questions about where your restaurant delivers. You'd want that functionality to be very strictly controlled.

Choose Your Platform and Integration Method

You'll need to decide where your agent will "live" and what it will be built with. By carefully matching the environment and platform to your objectives, you can create AI agents that enhance your business operations and customer experience while maintaining appropriate brand control.

AI agents can operate across a wide range of environments such as social media platforms (like X),  messaging applications like Telegram, websites, desktop applications, community platforms (like Discord), eCommerce platforms, or CRM systems. 

Carter experimented with each of the following platforms. Here are her thoughts to help you choose the right platform for your agent:

  • AI Explain: Carter found this platform powerful for internal applications.

  • Windsurf by Codeium: A newer platform Carter explored.

  • ELIZAOS: Used for the fashion agent Miku, though Carter found it more challenging to control for business purposes.

  • Operator by OpenAI: Carter ultimately chose this for her book agent because it offered more consistent answers through better templating.

  • Virtuals: Carter tried this but found it challenging for her needs.

Identify Your Training Data Sources

Next, you need to determine where to source the data to train your agent. Here are five categories of training content you can choose from:

  • Proprietary Content: Your own content, such as PDFs, documentation, presentations, or blog posts

  • Web Scraping: Tools like Scrapey or beautifulsoup can gather relevant web content

  • Public Datasets: Hugging Face offers a marketplace of datasets

  • User-Generated Content: Surveys and feedback from your audience

  • Multimodal Content: Modern agents can be trained on video and audio content, not just text

Implement Validation and Quality Checks

To ensure your agent performs as expected, Carter recommends implementing validation processes to test it. Tools like Authentrics can help with this quality assessment, alerting you to training abnormalities or inconsistencies in your agent's knowledge base.

Today's advice provided with insights from Sandy Carter, a featured guest on the AI Explored podcast.

Watch the full interview YouTube

Meta Launches Edits App: Edits provides a dedicated space where users can track ideas, manage projects, and edit and export watermark-free videos without leaving the app. The app includes powerful tools such as a high-quality camera, frame-accurate timeline, and special effects like cutouts and AI-powered animation. Users can optimize their content through an inspiration feed of reels with trending audio and performance insights. The Ideas feature lets users keep track of video concepts in one place, including jotting down ideas and adding notes to saved reels. Edits is available globally as a free download in the App Store and Google Play Store, with users able to sign in using their Instagram accounts. Instagram

LinkedIn Introduces Qualified Leads Optimization: Qualified Leads Optimization focuses ad delivery on leads that have signaled readiness to buy and provides deeper attribution to prove pipeline contribution and revenue impact. Users can define lead quality via Zapier using their own lead generation system or third-party CRMs such as HubSpot, Dynamics, or Salesforce. Qualified leads can be sent to the LinkedIn Campaign Manager using the LinkedIn Conversions API. Campaign Manager will then match and optimize delivery based on the highest quality leads. Qualified Leads Optimization can be applied to any campaign using the Lead Generation objective within Campaign Manager and is now generally available to all customers. LinkedIn

Pinterest Academy Enhancements: The platform now offers new courses and webinars to enhance learning opportunities and has developed four learning paths tailored to unique brand goals. Each learning path includes courses about a specific topic or marketing objective. The first learning path option is "Drive shopping on Pinterest." The second learning path option is "Reach your dream customers." The third learning path option is "Power up your performance." The fourth learning path option is "Measure your success." Pinterest

X Experiments With Updated Video Playback UI: The new design moves engagement counts up from the bottom of the screen and places function buttons into the lower black bar. Social Media Today

YouTube Auto-Dubbing Access Expands: All creators in the YouTube Partner Program now have early access to auto-dubbing and can self-enroll via Studio. YouTube is working to expand auto-dubbing to more creators in the future. YouTube

 

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Did You Know?

Early Aran sweaters were made from untreated sheep's wool, which retained its natural lanolin, making them water-resistant. Great for fishermen working in harsh marine conditions.


Michael Stelzner, Founder and CEO

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We publish updates with links for our new posts and content from partners. Your information: Email: tukangpostemel@gmail.com Opted in on: 2021-09-06 17:03:43 UTC.

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