TikTok's engagement is driven by three interconnected systems: a personalized "For You" feed that prioritizes each user's behavioral signals, instant delivery that eliminates loading friction, and a behavioral learning engine that continuously refines recommendations based on real actions. These systems reinforce each other in a loop where consumption generates data, data improves predictions, and better predictions drive further consumption. Businesses can apply these principles without replicating TikTok's interface, while remaining mindful that responsible engagement design should align user progress with genuine value, not just maximize screen time.
Windows 11 now supports contextual haptic feedback through the InputHapticsManager API, letting apps deliver touch-based responses across compatible mice, touchpads, and pens. Haptics serve three core purposes — clarity, inclusion, and delight — reinforced by predefined waveforms (such as Align, Collide, Step, and Success) matched to specific interaction moments. Effective implementation requires consistent, low-latency feedback tied to user-initiated actions, avoiding overuse so signals remain meaningful.
Design systems help agile teams move faster by standardizing reusable interface components, reducing the repetitive visual design work that often consumes designers' time. By defining elements like buttons, forms, and navigation in advance, teams can focus more on user experience, collaborate earlier, prototype and test ideas more quickly, and maintain consistency as products evolve through incremental releases.
AutoEdit Creator Mode understands your content and builds your rough cut automatically - directly inside Premiere Pro.
Dropmatico is the image resizer that picks the destination for you. Drop one master and ship it ready for Instagram, Amazon, LinkedIn, Etsy, and 30+ more, at the right size, format, and treatment.
A growing collection of colors with a paper trail: where it was first ground, in whose workshop, on whose canvas it dried, when it was banned, what replaced it.
A Better Lou is a men's healthcare platform designed around a core principle: organizing content by outcomes people seek rather than by clinical services or treatments. The visual identity deliberately avoids both medical clichés and aggressive men's health aesthetics, landing instead on a blend of editorial, lifestyle, and healthcare design that feels credible yet approachable. Built entirely in Webflow with GSAP animations and a custom Vimeo integration, the site was engineered from the start for long-term scalability using reusable components and a CMS structure that allows content to grow without rebuilding.
Brand design evolved from humanity's earliest expressions of identity—such as cave handprints and symbols—into the sophisticated visual systems used by modern organizations. From early trademarks like Coca-Cola's red barrels and Persil's green packaging to pioneering corporate identities created by figures such as Peter Behrens for AEG, Olivetti, and IBM, brand design has increasingly focused on creating coherent, recognizable identities across products, communications, and environments. Today, digital technology and AI offer new possibilities for dynamic, adaptable visual systems, but successful branding still depends on human creativity, strategic thinking, and original design concepts.
Typographic arrows, though visually simple, function as a mirror for the entire typeface.
Crypto scammers are exploiting the 2026 World Cup with fake ticketing sites and "fixed match" pitches.
Louise Laborie uses watercolor-based illustrations of lonely highways, suburbs, and transit spaces to explore themes of transience, displacement, and the gap between imagined dreams and reality.
A persistent agent memory layer built on Elasticsearch uses a multi-index system to improve long-term memory capabilities for agents, leading to high recall accuracy and tenant isolation. With separate indices for episodic, semantic, and procedural memory, the architecture efficiently manages various memory types while addressing challenges like memory decay and data contradiction through a consistent update process.
2026.06.19·elastic.co·26 min read·TLDR Dev American Express uses a cell-based architecture for its core payments ecosystem to improve resiliency and maintain high availability. This architecture isolates failures within independent units, allowing each cell to operate autonomously and contain issues without affecting the broader system.
2026.06.19·americanexpress.io·12 min read·TLDR Dev AI agents are improving productivity across various sectors, with projections suggesting they could generate $2.9 trillion in economic value in the US by 2030. To address the challenges posed by increasingly capable and misaligned AI, Google DeepMind created an AI Control Roadmap, focusing on security measures that go beyond standard alignment techniques.
2026.06.19·deepmind.google·7 min read·TLDR Dev This journey to embracing Emacs as a primary text and code editor began with clumsy early experiences in programming, including misguided choices like using Microsoft Word for coding instead of a proper text editor. After exploring various editors like Notepad++, Sublime Text, and different programming languages, the author ultimately found that Emacs offered great support and functionality.
Loops let agents autonomously complete tasks rather than relying on manual prompts from engineers. The four components for constructing a loop include a clear goal, sufficient context, evaluation mechanisms, and operational agents. Critics may view loops as a threat to engineering roles, but they actually represent a shift towards self-driving products.
2026.06.19·newsletter.posthog.com·7 min read·TLDR Dev The complexities of compiler behavior can lead to unexpected nondeterministic outputs, even when given the same input bytes, which complicates the goal of achieving reproducible builds. As part of developing Anubis, a system for WebAssembly-based proof of work checks, challenges arose with making sure that output from the WebAssembly compiler was consistent across different environments and versions of tools. To address these issues, including variances in tool versions and address layout differences, a series of measures was implemented to stabilize the build process and verify reproducibility through checksum verification across different architectures.
2026.06.19·xeiaso.net·7 min read·TLDR Dev Flue is a framework designed for building autonomous agents that efficiently perform complex tasks using a programmable TypeScript environment. It allows developers to create agents that can maintain context, execute workflows, and operate securely in a sandbox environment, which facilitates real work without predefined sequences of actions.
2026.06.19·github.com·GitHub repository·TLDR Dev Agent-Native is an open-source framework designed for building interconnected applications where agents and user interfaces operate seamlessly together. The framework offers support for creating versatile agents that function as either headless APIs, rich chat experiences, or full applications, all while maintaining real-time synchronization and context-awareness.
2026.06.19·github.com·GitHub repository·TLDR Dev A large-scale malware distribution campaign has been uncovered on GitHub, involving 10,000 repositories that contain Trojan malware disguised under various names by different contributors. These repositories consistently update their readme files to include links to a zip archive that contains the malicious software, while frequently deleting and re-adding the same commits, which complicates detection.
2026.06.19·orchidfiles.com·8 min read·TLDR Dev The concept of "agent readiness" has gained traction, with platforms like Cloudflare and Google introducing scoring systems to evaluate websites for AI agent compatibility, though much of this hype may not translate into tangible benefits. The term itself conflates two distinct challenges: discovering whether AI applications recommend content and ensuring usability for transactions once users arrive at a site.
2026.06.19·nekuda.substack.com·9 min read·TLDR Dev Elkjop was fined €1.8 million for violating GDPR and ePrivacy regulations by forcing customers to accept marketing communications in exchange for membership benefits. This ruling by the Norwegian Data Protection Authority reinforces that consent must be freely given, serving as a warning to companies that rely on coercive consent models.
2026.06.19·thatprivacyguy.com·7 min read·TLDR Dev The stable Enterprise-Managed Authorization extension for the Model Context Protocol enables organizations to streamline security and improve user experience by providing centralized, zero-touch single sign-on access to MCP servers via identity providers.
2026.06.19·blog.modelcontextprotocol.io·6 min read·TLDR Dev Noam Shazeer, one of the main authors of the Transformers paper that kicked off the LLM era and co-lead of Google's Gemini project, is leaving the company to join OpenAI ahead of its initial public offering.
2026.06.19·links.tldrnewsletter.com·5 min read·TLDR Dev The Outbox Pattern in microservices allows for independent processing of events, such as sending an email after completing a transaction, by recording messages in an outbox table to make sure the transaction can succeed without waiting for email delivery.
2026.06.19·jakeworth.com·1 min read·TLDR Dev Kubernetes has evolved from a container orchestration tool to a fundamental AI infrastructure platform, allowing organizations to efficiently manage generative and agentic AI workloads.
2026.06.19·oreilly.com·7 min read·TLDR Dev Creating software used to require access to a small, highly specialized group of people concentrated in a handful of tech hubs. This meant that only ideas large enough to justify the costs ever made it into the world. That complexity and cost is collapsing. Now, domain experts of every kind can start solving problems they understand deeply. There will likely be an explosion of products from unexpected places built by local experts with experience.
Companies are essentially made up of a group of people and a collection of decisions. How these people make these decisions is the art of running a business. This post contains a collection of general principles on how to make decisions. They serve as frames, considerations, and shared practices to draw upon when making a decision.
Top-performing tech companies increasingly use founder-led content, customer education, community building, and product visibility to drive demand before traditional sales engagement. The playbook emphasizes creating trust and mindshare at scale through content, events, and social channels rather than relying solely on outbound sales motions.
AI promised to supercharge sales, and to be fair, it delivered the easy stuff. We can write great cold emails now, build account lists in seconds, and summarize every call. However, none of that actually wins deals. What wins is still the boring upstream call of deciding which accounts to chase and why now. Most teams are quietly letting an AI vendor make that call for them, so they end up with the same targeting as every competitor on the same tool.
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Design, build, and manage websites with AI-assisted content creation, collaborative branching workflows, and a community platform for sharing and distributing site resources.
Retool is a platform that allows developers to build software on whatever AI coding platform they want and ship it through a single, governed runtime that enforces authentication, permissions, and data governance automatically. Developers can deploy any React app on Retool, and it will map the app's data connections to resources the team has already configured and secured. Apps can be deployed on Retool Cloud, in a VPC, or fully on-prem. Retool handles versioning, release management, environment promotion, access changes, and monitoring. Free hosting, plus bonus AI credits on every paid plan, is available until July 1.
Copilot Cowork executes complex, long-running multi-tool tasks. Users define the work, and Cowork runs it end-to-end and returns a completed result. The tool is designed to be accurate, secure, and low-cost. The feature is now generally available for users on the Microsoft 365 Copilot User Subscription License.
Human workflows usually have checkpoints, like a review, that make coordination possible. Agents need the same kind of containment. Agents can do much more than just write code. A pull request would give agents a familiar framework to work with humans. It would allow people to review changes, accept useful work, reject weak work, and leave a record for the future.
The smarter the models get, the less your software is worth alone, so every app company now has to become a data company and a fintech company. The data half is judgment, the corrections your users make that no benchmark captures, which is why xAI took a $60B option on Cursor mostly to get inside the token flow, not for the editor. The survival rule for the "what if Anthropic builds this" question is to let agents read but guard the writes, because the decision being made right now is the only thing a rival can't scrape.
This playbook remaps the four core stages of the startup journey (Idea, MVP, Launch, and Scale) according to the AI era.
Founders often excel at running their companies but struggle during board meetings due to different skill requirements.
AI startups should focus on resolving deep scientific challenges, as significant advancements will drive future technological frameworks.
Opal has introduced a chat-based onboarding UX that encourages users to interact with the product more.
AI search is becoming a measurable top-of-funnel channel even when analytics fail to credit it. A study found that when an AI platform recommends a brand to a new prospect, that person is 182% more likely to search for the brand, 117% more likely to visit its website, and 185% more likely to view its products within a week. Recommendations drive roughly twice the impact of simple mentions, which makes visibility alone less important than earning placement as a recommended option. Brands should optimize content, reviews, and comparison assets to increase recommendation rates across AI platforms, especially ChatGPT, and track AI visibility as a demand generation metric rather than relying only on last click attribution.
Buying decisions aren't driven by ads alone anymore. People now rely on human conversations to validate what they're considering before they act. On Reddit, they compare options, ask questions, and read real experiences from others to reduce risk and build confidence. This “validation layer” sits between interest and action, shaping what people trust, and often deciding what actually gets purchased in the end.
A 49-day LinkedIn outbound test used one account to send 3,645 messages and book 21 qualified demos, or one per 174 messages. It required about 15 minutes of daily effort. Leads were sourced from recent LinkedIn posts signaling intent. Each prospect was researched, then messaged using a consistent structure with a signal, insight, and soft ask. The campaign sent 2,756 connection requests with a 26.5% acceptance rate and 1,570 open InMails. Results were driven by high intent list building and consistent personalization.
Generic “write like an expert” prompts underperform because they lack context. A better structure includes a visual reference, a clear plain language message with product context, and explicit copy techniques to guide style. This gives AI the inputs it needs to produce stronger outputs.
More targeting beats more reach. Highly segmented emails can hit 50%+ opens and 40–90% click-to-open, while broad sends often drop to 2–5% opens and ~1% CTR. Smaller, tighter segments outperform big lists almost every time.
MMM success depends more on model design than modeling technique. Validate three requirements before building an MMM: at least 18 months of data, meaningful spend variation, and paid channels that drive at least 20% to 30% of top-of-funnel activity. The most important strategic decisions are choosing the right outcome metric, segmenting self-serve and sales-led motions, and aligning the model to the stakeholder using it, since those choices directly shape ROI, saturation, and budget recommendations. Avoid using short-term adstock decay as a guide for brand investment decisions because business impact can peak 6 to 8 weeks after sustained spending begins. Strong MMM programs present results as ranges instead of point estimates and pair MMM insights with incrementality testing to improve budget decisions and reduce wasted ad spend.
Many teams already use AI for copy, personalization, and media, but few have a clear map, guardrails, or evidence they can show a CEO or board. This lesson helps you identify your riskiest AI marketing use cases and apply a simple governance model to protect brand and revenue. The free webinar will take place on June 25 at 10 AM.
Imposter syndrome in marketing feeds on a specific gap between what marketers know and what they can defend. The standard fix, adding more courses and qualifications, reinforces the cycle by building knowledge without developing judgment. One marketing leader reports that 9 out of 10 people can't explain their reasoning when asked why they made a decision. As AI makes tactical execution feel replaceable, the inability to demonstrate strategic reasoning leaves marketers vulnerable in organizations where C-suite leaders often don't understand what marketing does beyond execution.