Welcome to TipSeason Trending AI Newsletter.

In today’s edition, we will cover:

• Trending AI News

• Trending AI Tools

• Best AI Prompt pick for ChatGPT / Gemini / any AI

Also welcome to the 200+ new subscribers who joined us this week and staying on top of AI Trends.

Trending AI News:

• Even Silicon Valley Says that AI Is a Bubble Link

• Protecting cities with AI-driven flash flood forecasting Link

• Software companies fight back against fears that AI will kill them Link

• Photographer Creates Something Original, Everyone Assumes It’s AI Link

• Meta planning sweeping layoffs as AI costs mount Link

• China’s ByteDance Gets Access to Top Nvidia AI Chips Link

• Gamers’ Worst Nightmares About AI Are Coming True Link

• She uses AI for everything. Her husband thinks AI is a menace. Link

88% resolved. 22% stayed loyal. What went wrong?

That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.

Efficiency metrics look great on paper. Handle time down. Containment rate up. But customer loyalty? That's a different story — and it's one your current dashboards probably aren't telling you.

Gladly's 2026 Customer Expectations Report surveyed thousands of real consumers to find out exactly where AI-powered service breaks trust, and what separates the platforms that drive retention from the ones that quietly erode it.

If you're architecting the CX stack, this is the data you need to build it right. Not just fast. Not just cheap. Built to last.

See the data

Best AI Prompt Pick:

For ChatGPT, Bard, Claude and other AI chatbots:

Topic: Detailed Blog Post

Prompt:

You are a seasoned data analyst and UI/UX expert specializing in social media analytics dashboards. Your goal is to design a comprehensive and user-friendly Instagram Analytics Dashboard that provides actionable insights for [Company Name]'s marketing team. The dashboard should empower users to track key performance indicators (KPIs), understand audience behavior, and optimize their Instagram strategy. Focus on clarity, visual appeal, and data-driven decision-making. Avoid unnecessary jargon and prioritize intuitive data presentation. The dashboard should be designed for users with varying levels of analytical expertise. 

Dashboard Goal: To provide a single, comprehensive view of Instagram performance, enabling data-driven decision-making and strategy optimization for [Company Name].

[Company Name] Context:
- Business Type: [Describe the type of business, e.g., E-commerce, SaaS, Retail]
- Target Audience on Instagram: [Describe the target demographic and interests on Instagram]
- Key Marketing Objectives on Instagram: [List 2-3 primary marketing goals, e.g., brand awareness, lead generation, sales]

Required Dashboard Sections:

1. Overview Section:
- Key Metrics Summary: Display the most important KPIs at a glance. Include metrics such as: Follower Count, Engagement Rate (likes, comments, saves), Reach, Impressions, Website Clicks (from bio), Profile Visits.
- Period Comparison: Allow users to compare performance against previous periods (e.g., week-over-week, month-over-month) with percentage change indicators. Example: "Follower Count: 10.5K (+5% MoM)".
- Visualizations: Use clear and concise charts (e.g., line graphs, bar charts) to visualize trends in key metrics over time.

2. Audience Insights Section:
- Demographics: Provide a breakdown of follower demographics (age, gender, location). Present this data using visually appealing charts (e.g., pie charts, maps).
- Top Locations: Identify the top cities and countries where followers are located. Use a map visualization for easy understanding.
- Follower Growth: Visualize follower growth trends over time. Highlight peak growth periods and potential drivers.
- Audience Activity: Show the days and times when followers are most active. Use a heatmap to visualize this data.

3. Content Performance Section:
- Top Performing Posts: Identify the posts with the highest engagement rates (likes, comments, saves, shares). Display these posts prominently with their respective metrics.
- Post Type Analysis: Analyze the performance of different post types (e.g., photos, videos, carousels, stories, Reels). Show which post types generate the most engagement.
- Hashtag Performance: Track the performance of different hashtags used in posts. Identify the most effective hashtags for reaching a wider audience.
- Story Performance: Analyze story views, completion rates, and exit rates. Identify stories that resonated most with the audience.

4. Engagement Analysis Section:
- Likes, Comments, Saves Distribution: Analyze the distribution of likes, comments, and saves across different posts and time periods.
- Engagement Rate per Post: Calculate and display the engagement rate for each post. Highlight posts with exceptionally high or low engagement rates.
- Comment Sentiment Analysis: Perform basic sentiment analysis on comments to gauge audience sentiment towards posts (positive, negative, neutral).

5. Competitor Analysis Section (Optional):
- Competitor Tracking: Allow users to track the performance of up to [Number] competitors. Track metrics such as follower count, engagement rate, and post frequency.
- Benchmarking: Compare [Company Name]'s performance against competitors in key metrics.

Output Format (Use plain text sections, not markdown):

For each section described above, provide a detailed outline of the data visualizations, key metrics, and actionable insights that should be included in the Instagram Analytics Dashboard. For each visualization, specify the chart type (e.g., line graph, bar chart, pie chart, map) and the data it should display. Explain how the marketing team can use the insights from each section to improve their Instagram strategy. 

Example:

Overview Section:

Key Metrics Summary:
- Metric: Follower Count
  - Display: Total number of followers.
  - Comparison: Percentage change compared to the previous month.
- Metric: Engagement Rate
  - Display: Percentage of followers who engaged with posts (likes, comments, saves).
  - Comparison: Average engagement rate over the past 3 months.

Visualizations:
- Follower Growth Over Time
  - Chart Type: Line graph
  - Data: Number of followers over the past 12 months.

Actionable Insights:
- Track follower growth to assess the effectiveness of marketing efforts.
- Monitor engagement rate to identify content that resonates most with the audience.

Tone and Style:
- Professional, data-driven, and concise.
- Focus on actionable insights and practical recommendations.
- Avoid overly technical language and jargon.

Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response

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Trending AI Tools:

• Cohere Content generation

•  ChatABC Reduce image noise in photos.

• Knowmax Omnichannel knowledge boosts customer engagement.

• Faraday Predicted customer behavior to grow businesses.

• Documind Document summarization and Q&A using conversation.

By the way here are few ways we can help.

• Learn How to Make money with AI & ChatGPT Check out details here.

• Create Content 10X Faster and Go Viral on Social Media: Vibefluencer

• FREE 2000+ AI Tools list here . You can list your AI tool as well to get in front of thousands of users each month who are interested in AI.

• Have questions ? Just reply to this email with your question.

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