Another Crazy Day in AI: Your Slides Look Great and That Might Be the Problem
- 3 hours ago
- 3 min read
Hello, AI Enthusiasts.
Here's another crazy day in AI:
Pretty slides aren't enough anymore
OpenAI targets AI security with Promptfoo deal
Claude Code debuts agent-based Code Review
Some AI tools to try out
🎧 Listen to a quick breakdown of today’s stories.
TODAY'S FEATURED ITEM: Stop Building AI Presentations That Say Nothing
Image Credit: Wowza (created with Ideogram)
When was the last time you sat through a presentation that actually said something?
Not just looked good — but made a clear argument, held up under questions, and left people with something concrete to think about. Jeff Su, a former Googler turned educator and YouTuber, put together a video that gets into exactly this. He walks through a full workflow for building presentations using Gamma, an AI presentation tool — but the bulk of his focus is on the revision process, not the initial generation. That's the part most tutorials skip over, and honestly, it's the part that determines whether a deck is actually useful or just easy on the eyes.
A few observations from the walkthrough:
The first draft usually isn’t the hardest part. Creating slides can be quick, but refining them after feedback often takes much longer.
Strong titles help carry the narrative. If the slide titles are clear enough, someone should be able to follow the overall story even without reading every line of text.
AI can help with structural edits. Moving slides, adding new sections, or reorganizing content can be done quickly with the help of AI tools.
Numbers and charts still require careful review. While AI can generate visuals or pull data, figures and sources should always be checked.
Specific instructions tend to produce better results. Clear limits or constraints can lead to more useful edits when working with AI.
Translation tools can help with global collaboration. Entire decks can be translated into another language quickly, though they often benefit from additional review.
Human judgment remains essential. Deciding what matters, how to present it, and how to respond to feedback still relies on thoughtful decision-making.
AI tools have gotten reasonably good at handling the repetitive, time-consuming parts of building a presentation. The sourcing, the restructuring, the formatting — a lot of that is faster now. And for teams managing multiple rounds of feedback across different stakeholders, that kind of speed is genuinely useful. Less time spent on the mechanical stuff means more time spent on the parts that actually matter.
The harder question is what those parts are. Knowing which feedback to act on, deciding what stays and what gets cut, understanding what an audience actually needs to walk away with versus what just sounds good on a slide — none of that gets simpler with better tools. If anything, when the tools handle more of the busywork, the quality of your thinking becomes more visible, not less. That's worth sitting with the next time you're building a deck.
Read the full blog here.
Watch it in action here.
OTHER INTERESTING AI HIGHLIGHTS:
OpenAI Targets AI Security With Promptfoo Deal
/OpenAI Newsroom
OpenAI plans to acquire Promptfoo, a tool widely used by developers to evaluate and stress-test AI systems. The platform helps identify vulnerabilities such as prompt injections, jailbreaks, and data leaks before AI applications are deployed. Once finalized, the technology will be integrated into OpenAI Frontier, strengthening built-in testing, governance, and security tools for companies building AI agents. The move reflects the growing demand for systematic evaluation and oversight as AI systems become more embedded in real business workflows.
Read more here.
Claude Code Debuts Agent-Based Code Review
/Claude Blogs
Anthropic has introduced a new Code Review system in Claude Code that sends multiple AI agents to examine pull requests for potential bugs. The system analyzes code changes in parallel, verifies findings, and ranks issues by severity before posting a summary and detailed comments. Designed to tackle growing review bottlenecks as AI-assisted coding accelerates development, the feature focuses on deeper analysis rather than quick approvals. It’s currently available as a research preview for Team and Enterprise users.
Check it out here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
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