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- Reddit looks to AI search as its next big opportunity
Reddit looks to AI search as its next big opportunity
AND: OpenAI launches a way for enterprises to build and manage AI agents

✨TodayOnAI’s Daily Drop
Reddit looks to AI search as its next big opportunity
OpenAI launches a way for enterprises to build and manage AI agents
Anthropic releases Opus 4.6 with new ‘agent teams’
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |

🚀 TodayOnAI Insight Reddit is positioning its AI-powered search as a major growth lever, signaling it could become both a core product upgrade and a meaningful revenue driver. With rapid user adoption and plans to unify AI and traditional search, Reddit is betting that answers—not links—are the future of discovery.
🔍 Key Takeaways
Reddit plans to merge its AI search product, Reddit Answers, with traditional search, arguing generative AI is “better for most queries.”
Weekly search users grew 30% year-over-year, from 60M to 80M; Reddit Answers jumped from 1M to 15M weekly users in 2025.
The company is modernizing AI responses with richer media and piloting dynamic AI agents alongside search results.
Reddit will remove the logged-in vs. logged-out experience in Q3 2026, using AI personalization to serve all visitors.
Content licensing for AI training is accelerating, with “other” revenue reaching $140M in 2025, up 22% year-over-year.
💡 Why This Stands Out Reddit is reframing itself from a social platform into an answer engine built on collective human insight—an area where LLMs alone often fall short. By blending community-driven perspectives with AI synthesis, Reddit is carving out a differentiated search model while quietly building a diversified, AI-native revenue stack. If search truly shifts from navigation to interpretation, Reddit may already have the data advantage others lack.
Openai

🚀 TodayOnAI Insight: OpenAI launched OpenAI Frontier, an end-to-end platform for enterprises to build, govern, and operate AI agents—positioning agent management as the missing “control plane” for serious enterprise adoption. By supporting agents built outside OpenAI, Frontier signals a bid to become the default infrastructure layer for multi-vendor agent fleets.
🔍 Key Takeaways:
Agent management as infrastructure: Frontier centralizes onboarding, permissions, and ongoing oversight for enterprise agents.
Open platform approach: Organizations can manage non-OpenAI agents alongside OpenAI-built ones.
Real-world connectivity: Agents can plug into external data and business apps to execute work beyond OpenAI’s ecosystem.
Human-style governance model: “Onboarding” plus feedback loops mirror how companies manage employees over time.
Early enterprise footprint: OpenAI cites HP, Oracle, State Farm, and Uber; rollout is limited now, broader access “in coming months,” with pricing undisclosed.
💡 Why This Stands Out: As agents moved from demos to deployments, governance became the bottleneck—security, access control, and auditability matter more than clever prompts. Frontier reframes the agent layer as an operational system, not a feature. If every major vendor builds the “agent OS,” who wins: the model provider, the workflow hub, or the neutral control plane?
Anthropic

🚀 TodayOnAI Insight: Anthropic has released Opus 4.6, an upgrade to its most advanced Claude model, expanding it beyond elite coding tasks into a broader productivity engine for knowledge workers. With multi-agent collaboration, a massive context window, and deeper Microsoft PowerPoint integration, Opus is positioning itself as a serious daily-work AI.
🔍 Key Takeaways:
Agent teams: Opus 4.6 introduces coordinated groups of agents that divide complex tasks and work in parallel, now available as a research preview for API users and subscribers.
Expanded memory: The model supports up to 1 million tokens of context, enabling work with large codebases and long documents on par with Anthropic’s Sonnet line.
Native PowerPoint integration: Claude now runs directly inside PowerPoint via a side panel, allowing users to build and edit decks without leaving the app.
Broader audience focus: Originally optimized for developers, Opus is now being used by product managers, analysts, and other non-technical professionals.
💡 Why This Stands Out: Opus 4.6 reflects a clear shift from “best-in-class coding model” to “general-purpose work companion.” Multi-agent systems and deep productivity-suite integrations signal Anthropic’s ambition to compete not just on model quality, but on how AI fits into everyday workflows. As models get smarter, the real differentiator may be how well they collaborate—both with humans and with each other.
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
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
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 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
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| 🧠 Smart Picks |
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