OpenAI Rolls Out GPT-4.5 to ChatGPT Plus: What You Need to Know

✨TodayOnAI’s Daily Drop

• OpenAI Rolls Out GPT-4.5 to ChatGPT Plus: What You Need to Know

• Image AI Is Fueling App Growth—But Only ChatGPT Is Making Money

• Sierra Raises $950M at $15B Valuation to Scale Enterprise AI Agents

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

OPENAI

OpenAI Rolls Out GPT-4.5 to ChatGPT Plus: What You Need to Know

🚀 TodayOnAI Insight: OpenAI is rolling out its largest AI model yet, GPT-4.5, to ChatGPT Plus subscribers, following a Pro-only release last week. The model promises more knowledge and emotional intelligence, but its high costs and mixed benchmark performance raise questions about long-term usage.

🔍 Key Takeaways:

• GPT-4.5 is now available to ChatGPT Plus users, with the full rollout expected in 1–3 days. Pro subscribers received early access last week.

• It’s OpenAI’s biggest model to date, trained with more data and compute than any previous release.

• Despite its size, GPT-4.5 lags behind competitors like DeepSeek and Anthropic in reasoning benchmarks.

• OpenAI is charging premium rates for API access: $75 per million input tokens and $150 per million output tokens—15–30x more than GPT-4o.

💡 Why This Stands Out: GPT-4.5 pushes the envelope on scale and subtlety, with OpenAI claiming it demonstrates stronger world knowledge, better emotional intelligence, and fewer hallucinations. Yet, its underwhelming benchmark results and steep API pricing reveal a tension between innovation and usability. As AI models grow more advanced, the real challenge may be making them efficient—and affordable—at scale.

Image AI

Image AI Is Fueling App Growth—But Only ChatGPT Is Making Money

🚀 TodayOnAI Insight: Image-generation models are now the primary growth engine for AI apps, driving up to 6.5× more downloads than traditional model upgrades—signaling a clear shift from text-first to visual-first user demand.

🔍 Key Takeaways:

• Image model launches significantly outperform text-based updates in driving installs, with ChatGPT and Gemini each adding tens of millions of downloads post-release.

• Gemini’s “Nano Banana” image model generated 22M+ installs in 28 days, boosting downloads over 4× during that window.

• ChatGPT’s GPT-4o image model added 12M installs—4.5× more than its recent text model releases—and generated ~$70M in consumer spending.

• Meta’s “Vibes” video feature drove 2.6M installs but failed to translate into meaningful revenue.

• Increased downloads don’t guarantee monetization—only ChatGPT effectively converted attention into revenue.

💡 Why This Stands Out: The data highlights a decisive shift: users are increasingly drawn to visual AI capabilities over conversational improvements. But while images drive curiosity and installs, monetization remains uneven—suggesting product-market fit still hinges on execution, not just novelty. As visual AI becomes table stakes, the real question is: who can turn engagement into sustained revenue?

Sierra

Sierra Raises $950M at $15B Valuation to Scale Enterprise AI Agents

🚀 TodayOnAI Insight: Sierra, led by Bret Taylor, has announced a $950M funding round, pushing its valuation past $15B as enterprises rapidly scale AI-driven customer operations.

🔍 Key Takeaways:

• Sierra is positioning itself as a “global standard” for AI-powered customer experiences, with agents handling billions of interactions across industries.

• The company claims over 40% of the Fortune 50 as customers, signaling strong enterprise traction.

• ARR growth has surged from $100M to $150M within months, reflecting aggressive adoption despite high upfront costs.

• New product “Ghostwriter” enables users to generate and deploy custom AI agents via natural language.

• Industry peers like Uber report similar trends—rapid AI rollout, high costs, but meaningful productivity gains (e.g., 10% of code now AI-generated).

💡 Why This Stands Out: Sierra’s momentum highlights a broader enterprise shift: companies are willing to absorb short-term AI costs for long-term efficiency gains. The rise of “agent-building agents” like Ghostwriter suggests a future where software complexity disappears behind natural language interfaces. If this model scales, traditional enterprise UX may become obsolete—replaced entirely by autonomous systems.

✨ See how a simple prompt upgrade can unlock better AI output.

🔹 The Original Prompt

At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.

✅ The Improved Prompt

💡 Why It's Better

• Specific audience: Targets decision-makers in mid-sized companies.

• Contextual focus: Emphasizes emerging tech and practical solutions.

• Actionable output: Requests summaries and titles to spark execution.

• Tone and style: Guides the type of content (insightful, engaging, relevant).

🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown

💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)

📰 More from the AI World

• Google’s Gemini AI assistant is hitting the road in millions of vehicles

• Salesforce is crowdsourcing its AI roadmap — with customers

• Meta is still burning money on AR/VR

• Talk to Perplexity: Real-Time Voice Answers Now on iOS

🧰 Today’s AI Toolbox Pick

• 🐙Learnxyz (Academics Tool): A fun, social, and causal learning app.

• 🗿Mojju (GPTs Tool): Builds specialized GPTs for productivity, creativity, and education.

• 🧘Sonia (Mental Health Tool): Provides mental health for every mind.