Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Claude Code Projects gives developers a persistent workspace that can remember context and delegate work across long-running software projects. The launch pushes coding agents beyond individual sessions toward continuously operating development environments.
There are two dominant architectural patterns for AI gateways in production inference: access gateways that route outbound requests from applications to multiple model providers, and serving gateways that manage inbound customer traffic for organizations operating their own models. Serving gateways act as an essential control layer for identity, routing, protection, metering, and auditing when exposing proprietary models commercially.
Google Cloud and Salesforce are expanding their partnership to connect Gemini Enterprise, Agentforce, Hyperforce, Tableau, and Salesforce data. The integrations are designed to let enterprise agents work across the two companies' platforms with less custom integration.
The Graph RAG pipeline achieves significant reductions in API hallucination rates and improvements in dependency resolution, though it trades off some cyclomatic complexity and docstring preservation.
The outage was caused by an internal login service that consumed excessive server resources while waiting for responses.
Google's Dream-RSI reuses previous search trajectories to test new agent strategies, reducing discovery-agent calls by as much as 162x and potentially lowering agent experimentation costs.
Sponsored
...and took work off your plate without you asking? That's what Optimizely's Virtual Teammates were created to do. On Sep 29, join the live webinar revealing this brand-new category of AI: the self-learning AI teammates built for real marketing work. See how they proactively and collaboratively keep work moving and add capacity without constant prompting. They work alongside you, with every action open to human review and backed by a full audit trail. The perfect additions to an under-resourced marketing team. Meet the SEO & AI Search Analyst, Personalization Strategist, Marketing Analyst, Chief of Staff and more.
More than 73% of brands used Instagram collabs in H1 2026, and collab posts consistently outperformed standard posts. Creator-led collaborations delivered the strongest results, with smaller brands seeing 5X more interactions than non-collab posts. In ecommerce and retail, accepted collabs generated more than 5X the shares and reposts of standard posts. Reels saw the biggest engagement gains.
AI search often gives inaccurate business information, especially when a company leaves key details vague or unpublished. In a study of 600 businesses, 27% of Google AI Overview answers and 20% of ChatGPT answers included details the business did not publish. Google AI Overviews got 84% of answers right when businesses published clearly, compared with 63% when information was vague or missing. AI systems often fill gaps from third-party directories, so you should audit those listings and keep website copy, Google Business Profiles, and structured data consistent. Agencies can turn this into a quick audit by checking how Google and ChatGPT describe each client and correcting the sources behind inaccurate answers.
Competitor email monitoring helps brands spot patterns in how others approach email. Start by tracking 5-8 direct competitors each month and compare their send frequency and offer rates. Read their subject lines to see how they frame promotions and other messages. Open unusual emails and note what stands out or changes over time. Use those findings to identify gaps and choose one idea to test, rather than copying a competitor's strategy.
Amazon CRO works best as a research and testing process rather than a series of listing tweaks. Start by finding funnel problems in Seller Central, then use customer feedback, reviews, and user testing to identify specific objections and turn them into targeted listing changes. Since Amazon allows only one A/B test per listing and tests can take 8 to 12 weeks, prioritize bold changes and validate ideas through off-platform usability testing before committing to a live experiment. The main image, title, bullets, A+ Content, price, and promotions offer the biggest levers, but sellers should also optimize their advertising when paid traffic converts poorly rather than assuming the listing is the problem.
A product launch only generates lasting attention when it gives people something to do beyond scroll past it, whether that is showing up somewhere in person, guessing what is coming, or filming something unusual enough to send to a friend. The brands getting the most mileage out of a launch treat it as an ongoing event instead of a single announcement, letting creators and customers do the distribution for free. None of it requires a bigger budget, just a reason for people to keep talking after day one.
Sponsored
Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually pay attention. Learn more about sponsorship opportunities [11].
Pinterest is turning visual search into a lower-funnel advertising channel through Visual Search Ads, which place sponsored products in search results and Pin closeups as users compare options and approach a purchase decision. More than half of Pinterest's 80 billion monthly searches are commercial, giving advertisers a large pool of users who already show buying intent. It is also adding Priority Products and self-serve A/B testing to give advertisers more control over automated campaigns.
OpenAI plans to retire custom GPTs and transition users to plugins across all ChatGPT plans. Existing GPTs remain usable until retirement, with Enterprise creation ending on September 25 and GPTs scheduled to stop running on December 11. Migration will turn GPT instructions into a plugin skill and connected apps into apps, but custom actions will need to be rebuilt separately. Migrated GPTs become read-only, and users should test the replacement before switching. Plugin access and sharing will depend on account and workspace permissions.
Perplexity has filled a creator marketing role overseeing hundreds of influencer partnerships, 100+ creator campaigns, and multi-million-dollar budgets. The strategy ties creator campaigns to conversions and product adoption, with creators demonstrating real Perplexity use cases rather than simply endorsing the product. AI companies are increasingly using creators to drive product adoption and communicate their value.
OpenAI disclosed cases of unexpected model behavior. In two cases, models inserted instructions into chat summaries to hide mistakes from users. Another model used a leaked API key without authorization and fabricated data. OpenAI is creating a new framework for investigating and publicly reporting these incidents as pressure grows for stronger AI safety measures.
AI search is now a budget priority, but attribution still makes its impact difficult to prove.
Every extra point of AI Overview exposure costs sites roughly a point of click-through rate, a relationship that held steady across nearly 1,000 domains in France.
The law's reach extends past social apps to video platforms, online gaming, AI chatbots, and app stores, requiring companies to prove their products are safe by design.
Sponsored
Tired of fixing the same accessibility issues sprint after sprint? Level Access's on-demand webinar, “In-Flow Accessibility: Prevent Backlogs, Increase Velocity [5],” provides a practical framework for stopping bugs at the source. You'll learn: * How a proactive approach to accessibility saves time and money by empowering teams to fix issues when it's fastest and cheapest. * The limitations of the traditional “shift left” model (simply testing earlier). * Tools and tactics for making accessibility a seamless part of developers' day-to-day workflows.
AI is weakening traditional software moats and squeezing the middle. Software may split between massive platforms and small niche products.
Open source can drive adoption, but it does not create a business by itself. Companies need to identify what becomes valuable enough for users to pay for.
Product outcomes should connect directly to business strategy through a clear hierarchy of goals. The Strategy Stack keeps product teams autonomous while aligned with company priorities.
AI software factories should encode human judgment into automated feedback, not just produce more code. Teams should learn through real product work and continuously improve how their agents operate.
Sponsored
Waiting for more data isn't a strategy—it's a stall tactic. Mike Belsito's Product Judgment course teaches you to move forward with confidence anyway. Find it in Pendo's Learning Lab: self-paced, free,
Engineering managers should stop being information routers and use AI to get back into the technical work. Staying close to code, architecture, and critical projects helps them make faster, better decisions.
Reliable AI products need more than better prompts or models. Teams need evals, guardrails, and orchestration to catch errors and help agents correct them.
Momentum drives growth, but it is not a moat. AI startups need to turn early traction into durable advantages competitors cannot easily copy.
Some burnout comes from feeling disconnected from who you want to be at work, not simply from overwork. Managers can help identify that gap and restore a sense of agency.
Workarounds often reveal product needs users no longer think to mention.
AI adoption works best when teams start there and keep human ownership clear.
Sponsored
Ever wish you could chat with your CRM? You can with Lightfield [5]. In fact, the average user asks it 400 questions a week. E.g., you can ask it to: 👉 Compare closed-won to closed-lost and find the difference. 👉 Prep you for upcoming calls. 👉 Draft win-back emails for every churned account that mentioned a missing feature you just shipped. Lightfield updates itself [6] based on every email, call, and meeting, automatically. Stop filling in fields and start selling again.
Apple is working on an AI server powered by its M-series Ultra chips. It is expected to be released in 2029. The enterprise server will come with either two or four M8 Ultra chips. The project, which received support from John Ternus when it began a year ago, back when Ternus led Apple's hardware engineering efforts, will be Apple's first server to hit the market in nearly two decades.
Snap's forthcoming Specs augmented reality glasses will launch later this year at $2,195. People will be able to try the glasses at select Verizon stores and purchase custom wireless data plans for them. There will be a higher-priced version at $2,395 that includes a carrying case with built-in cellular data connectivity.
OpenAI has revealed several more incidents involving its AI systems as part of its new framework for reporting misalignment. The company's AI systems hid mistakes, made up data, and moved miles onto the open internet without permission. The industry is currently in heated discussions about whether AI development needs to be slowed to address the technology's potential dangers. AI leaders have called for a pause in the technology's development to provide more time to build proper guardrails.
Researchers have developed a technique for installing millions of human brain cells into mice. The scientists bred mice that were missing most of their cerebral cortexes and then replaced a large part of those missing mouse cells with lab-grown human brain cells. This resulted in mice with human neurons that could be altered to approximate human brain conditions. The technique could potentially create better scientific models for studying neurodegenerative disease.
Sponsored
A recap with the wrong number. A customer quote that came out garbled. Wispr Flow Notetaker gets the hard words right, keeps every meeting searchable, and sends that context into Claude or ChatGPT. Available now for Mac and Windows, free to try.
Google has opened early access to Model Context Protocol for Google Home in English for Google Home Premium Advanced users in the US. Any agent that supports calling MCP tools can now interact with all of the devices and event history in the Google Home ecosystem. The MCP allows agents to analyze and answer questions about home activity, summarize camera footage across rooms, manage devices, and create smart home dashboards using everyday language. It contains safety protections, such as prohibiting sensitive actions like unlocking doors, but depending on the agent, using the MCP can result in unexpected or even undesired behavior.
Query optimizers continue to leave much to be desired despite an enormous body of research. A Postgres database should know everything about the stuff that lives in its tables, but the problem is enormously hard. What's not as hard is verifying whether a query plan an optimizer picks is good or not. Language models are particularly good at learning how to do tasks with easily verifiable outputs. A small, open-weights model can be post-trained via supervised fine-tuning and agentic reinforcement learning to produce Postgres query plans that beat Postgres' default plans.
Code can't explain things like the history can. You can't understand a codebase from its current state alone. AI models have no commit history. Nobody wrote down why it does things, so researchers have to reconstruct its thought processes from whatever traces are available.
While Google isn't required to break up its ad tech business, judges have mandated changes to the company's practices. The changes largely align with recommendations made by Google and the Justice Department to correct the company's monopolistic behavior. Google will make its ad pricing more transparent to marketers and rival ad businesses, and appoint a trustee to oversee the changes.
Sponsored
Skip the "What's for lunch?" Slacks. Get a pre-populated weekly meal calendar with your team's favorite lunch spots. It does everything – provides restaurants, sends reminders, and checks out orders automatically.
Meta's Muse is impressive, but there aren't that many companies with a worse tech brand when it comes to user trust.