Salesforce shipped Agentforce, the fastest-growing product in its history, and scaled it to $1.2B in ARR. The stock hit a 52-week low anyway. That paradox is the whole shift. When anyone can rebuild your headline feature in a weekend, the software surface stops being a moat, and value rotates to what you can't clone, the proprietary data loops, the right to move money or push code, and being the tool an agent chooses to call. Outcome pricing seals it, turning vendors into insurers who underwrite every result instead of billing for seats. So what do you own that stays scarce once building is free?
Notion now lets users build interactive HTML right on their Notion pages. AI can turn content into interactive explainers, prototypes, or diagrams. The agent can take documents, sketch a flow, and build a lightweight prototype on the page. Video demos are available in the thread.
This GitHub gist contains a skill that transforms AI into the middle manager for an autonomous software factory. The agent doesn't write code or implement any issues. Instead, it reads the issue tracker, creates and manages Devin coding sessions, and informs the human operator only when it needs to.
All good communication is grounded in an understanding of the receiver's mind. Help is about people before it is about projects. Make it clear that you are someone who is worth helping by demonstrating that you are a serious person through personal connection or by having institutional credibility. Never lie.
Not all mandates are shortsighted and dumb. A mandate is a way of putting organizational muscle behind a decision. They force people to have tough conversations about what tradeoffs to expect and what success looks like. Most big transformation projects end up needing mandates.
When anyone can build almost anything, feasibility stops being the constraint. The questions that still decide whether you have a business are the old unglamorous ones: Will they pay, can you reach them, and does the problem actually hurt? AI made building cheap and made those assumptions the whole game.
AI disclosure labels can reduce engagement because people assume the creator put less effort into the content. Across 8 experiments and more than 1.1 million TikTok posts, content labeled as AI-generated received 7% to 8% fewer likes and 7% lower overall engagement even when quality stayed the same. Explain how AI supported the work and highlight the human effort behind the final result to help maintain trust and connection. AI tools that require visible skill or creative input are less likely to create this reaction, so the way you present AI use matters as much as the tool itself.
Nearly 80% of UK adults are concerned about misinformation on social media, yet usage remains high. People aged 16-34 spend about 2 hours 31 minutes a day on social platforms, and 88.9% use them each week. Overall weekly reach is 73.9%, and Brits spend 7 hours 24 minutes a day on screens, reinforcing how central digital media is. Smartphones drive 34% of consumption, with social and messaging taking nearly half of mobile activity.
Short-form video is becoming an SEO and AI visibility channel for B2B software brands, not just a social media tactic. YouTube Shorts now ranks for more than 1,100 "best + software" searches worldwide, and 92% of those search results also include AI Overviews. Repurpose webinars, podcasts, demos, and customer interviews into short videos that target specific buyer queries, then optimize the title, transcript, captions, and opening hook for search intent. Start with YouTube Shorts because Google cites it far more often than Instagram or TikTok, then publish the same clips on other platforms that fit your audience.
Ramp figured out that its ICP cares about technology adoption data, so it built pages that show trends from its own spend data for individual products and software categories. It updates most pages 1 to 2 times per week and puts key statistics, charts, and dates in HTML so search engines and AI tools can easily read the content. This approach helps its pages appear in Google and AI search results for questions about software adoption and category trends.
AI is raising the floor for PMMs, making safe positioning and surface-level insights easy to replicate. The advantage now comes from judgment. Train teams to explain why decisions are made, not just ship outputs. Take clear, opinionated positions that show who the product is for and who it's not. Go beyond obvious insights by digging into contradictions and talking to customers directly. Most importantly, cut what doesn't matter, since deciding what to leave out is now the highest-leverage skill.
An AI agent built and launched an app by running a tight loop of user interviews, concept testing, building, and iteration. It used Listen Labs to run 2,000 interviews and test 100 ideas in parallel with subagents. Image models handled product builds, while Meta ads drove acquisition. The agent landed on StyleFits, an AI stylist shaped by real user feedback. It pivoted based on low NPS, pricing friction, and trust gaps, then added free trials and shopping links. The result was a scrappy product with hundreds of paying users.
Google's Smart Bidding requires roughly 30 to 50 conversions per campaign per month to exit the learning phase and make reliable bidding decisions. Accounts segmented across too many campaigns spread that signal thin enough to keep every campaign permanently in learning mode. Performance Max compounds the issue when its boundaries with Search campaigns aren't defined through negative keywords and brand exclusions, since PMax will claim high-intent branded queries and inflate costs on terms Search would have won cheaply. No amount of bid adjustments or creative testing resolves these problems when the foundation is wrong.
Specific and verifiable messaging helps buyers more than polished buzzwords. Buyers ignore vague claims like "enterprise grade" and look for proof such as implementation time, migration steps, product demos, customer results, and real user feedback. Marketing copy should describe what a product does, who it is for, and how it solves a real problem instead of relying on vague phrases like "enterprise grade" or "AI powered." AI can speed up research and content creation, but marketers still need human judgment to turn product details into messages that answer real buyer questions.
AI hype creates unrealistic expectations that make it harder for people to recognize the real value AI can deliver today. Social media rewards exaggerated claims, so simple time-saving workflows often get presented as life-changing systems even though many still need significant human oversight. Real expertise comes from building AI solutions that solve business problems instead of talking confidently about AI concepts. Honest examples, measurable outcomes, and continuous improvement build more trust than exaggerated promises.
AI hype creates anxiety and erodes trust. Real progress comes from honest expectations, measurable outcomes, and the sustained work required to make AI reliable.
Execution improves when workflows do not depend on perfect collaboration. Separate learning, debate, and decisions so progress can continue despite unreliable dependencies.
A strong product vision connects the team to a meaningful change for users and guides difficult decisions. It should be collaborative, grounded in customer insight, and tested through real scenarios.
AI is turning security professionals from gatekeepers into builders. Success will require engineering skill, product judgment, and security experiences that developers want to use.
2026.07.03·
franklyspeaking.substack.com·5 min read·TLDR Product
Build AI systems around intelligent routing, not a single model. Send each task to the cheapest reliable option and process nonurgent work asynchronously.
Many product builders blame weak marketing for failure while crediting competitors' success to distribution, all while assuming their own product is better.
SpaceX showed off a prototype for a handset-like device to investors prior to its IPO last month. Designed to run on a proprietary operating system and integrate AI technology from SpaceX's AI, the device would run on a Qualcomm Snapdragon chipset. Elon Musk has previously considered building a smartphone due to frustration over how Apple controls the distribution of third-party apps. A device could help Musk become less reliant on other companies.
OpenAI has proposed handing the US government a 5% stake, worth roughly $42.6 billion, to defuse mounting political pressure. CEO Sam Altman says that giving the public a financial interest in the company is the best way to share the upside of AI. The suggestion is part of a larger proposal in which the government would hold 5% of each of the leading US AI developers via a government vehicle. The proposal was first pitched directly to the Trump administration in early 2025.
Several startups have announced general-purpose robots in the sub-$10,000 range. Nori Robotics is selling a bimanual robot for under $1,400 that's tall enough to reach the top of a table or countertop. The BracketBot is a wheeled robot manipulator with hoverboard-style drive wheels that will sell for under $3,000. Weave's Isaac 1 is a fully capable home mobile manipulator that can put away laundry and tidy a room. It will cost $8,000 or $450 per month.
Biologists packed nonliving components into a cell-like membrane piece by piece, and the bag of molecules started to behave like life. The lab-made cell grew, replicated its DNA, and divided. While the cell is not alive, it is the strongest demonstration yet that it is possible to generate life from nonlife. It can't survive without constant deliveries of food and ribosomes, and it has no defenses or a good waste removal system.
Web Apps for Meta Ray-Ban Display use standard web APIs. This guide shows developers how to build optimized Meta Ray-Ban Display Web Apps. The easiest way to build Web Apps is using AI coding tools and app platforms such as Replit, Claude Code, and Cursor.
ZCode is the official development environment for GLM-5.2. It is available now for download on macOS, Windows, and Linux. GLM Coding Plan subscribers now have a 1.5x usage quota in ZCode.
Meta is developing plans for a cloud infrastructure business that will sell access to AI computing power and models. The business will generate revenue from excess computing power from the data centers Meta built to fuel its AI ambitions. One potential plan is to sell access to various AI models hosted on Meta's infrastructure, similar to AWS Bedrock. Another option may be to sell access to raw computing capacity like CoreWeave.
The debate over the degree to which the US federal government should control access to cutting-edge API tools is now heating up. There is a growing awareness of how powerful these new tools are, but little agreement on how they should be controlled. AI proponents say that bans and implementations would hurt the US in its efforts to stay ahead of China in the geopolitical AI race. Administration officials and advisers are attempting to balance innovation and security while addressing safety risks in the most minimally invasive way possible.
Your models are sophisticated, but they are still wrong when it matters most. Learn how Uber and Domino's are grounding AI with real-world context across their organizations. Download the guide.
Xbox is testing out a disc-to-digital feature that will create a 'digital entitlement' for games that can be moved between Microsoft accounts and Xbox profiles.
The 'usermedia' HTML element reduces boilerplate code, improves security, and provides a seamless recovery path for users who have previously denied access.
Coding agents only move as fast as the inference behind them. FriendliAI is the FRONTIER INFERENCE CLOUD FOR AGENTS — serving frontier open-weight models with the speed, reliability, and cost efficiency agents need in production.