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UX teams lack the policies other departments have, but design principles can provide essential high-level guidelines for consistent decisions. Creating effective principles requires stakeholder involvement through a four-step process: inspiration gathering, voting, narrowing down, and active promotion. Design principles help teams make faster decisions and serve as the foundation for broader UX policy development.
Steffan Cummins achieved his decade-long goal of becoming Creative Director at Wolff Olins, only to find the role distanced him from the creative work he loved. Leaving without a plan, he launched his own studio, Lost Property, trading prestige for creative freedom, personal growth, and the joy of hands-on making, redefining success as control over his time and the work he truly wants to do.
Cards VF is a versatile variable font that offers 96 styles across six widths and eight weights with italics. It features engineered ink traps that enhance legibility at small sizes and add visual rhythm at large scales. Blending Swiss-influenced grotesque structure with warm geometric forms, it balances clarity and character, supports over 100 languages, and provides extensive stylistic sets for adaptable use across any design context.
SAIGE is a digital companion app that reframes challenges using wisdom from great thinkers built entirely with AI tools.
BMW's i Vision Dee, unveiled at CES 2023, features an AI companion that anticipates driver needs.
Netflix's “Wednesday” uses a bespoke typeface that captures the character's elegance, menace, and razor-sharp wit through angular, precision-crafted letterforms.
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The Model Context Protocol (MCP) is quickly emerging as the go-to standard for connecting LLMs to external tools and data. But as adoption picks up, many teams are implementing MCP without a clear security playbook.
Security researchers found an exploit chain in Windows Endpoint Privilege Management (EPM) that lets attackers escalate privileges to domain admin. The attack poisons EPM policies to bypass security controls and elevate privileges. Organizations using Windows EPM should review their settings and update security measures.
Bouygues Telecom, a French provider, suffered a cyberattack that exposed the data of 6.4 million customers, including names, emails, and phone numbers, but not payment info. It notified affected customers and authorities during its investigation.
Hackers breached Connex Credit Union systems June 2–3, likely stealing files with names, account numbers, debit card data, Social Security numbers, and government IDs. Connex reported 172,000 impacted, but there was no evidence of access to accounts or funds.
Seven core security principles for AI integration: encrypting secrets, using deterministic authorization over probabilistic LLM decisions, preventing raw credentials in LLM contexts, maintaining auditability, ensuring transparency, implementing least privilege, and balancing security with usability. AI agents must follow strict access controls, similar to humans, with credentials delivered securely (e.g., OAuth) rather than through LLM prompts, maintaining a zero-knowledge architecture. These principles show that traditional siloed privileged access management is inadequate for the AI era, which will require unified frameworks for both human and AI interactions.
Microsoft's NLWeb is a new framework designed to allow AI agents to interact with websites and APIs via natural language. This author describes how they discovered a path traversal vulnerability that could lead to the disclosure of arbitrary files such as `/etc/passwd` or `.env`. The vulnerability was caused by the use of the `os.path.normpath()` function, which does not prevent “climbing out” of the directory using `../`.
DryRun Security uses an AI engine called Contextual Security Analysis (CSA) to analyze code changes probabilistically. Each PR goes through three steps: whole-PR synthesis to understand the goal, hunk-scoped reasoning to isolate individual code hunks and filter out unrelated changes, and on-demand context acquisition to retrieve supporting files and dependencies. DryRun also has a secondary audit model that randomly samples production findings every 24 hours to check instruction compliance, hallucination detection, and vulnerability accuracy.
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* AI SOC agents: Which ones are delivering value? What are technologies to avoid [11]? * The transition from vulnerability scanning to exposure management (CTEM) * Emerging AI agents vs. proven platforms (EDR, SIEM)
Professional IDAPython script that generates additional cross-references for IDA Pro that aren't automatically detected, specifically designed for use with the Mandiant XRefer plugin.
RunZero's EPSS Pulse is a free tool that tracks trends in Exploit Prediction Scoring System (EPSS) data to help security teams prioritize vulnerability remediation. It shows which vulnerabilities are gaining or losing exploitation likelihood over time, helping defenders focus on critical patches. Monitoring EPSS score changes enables organizations to make better vulnerability management decisions beyond static CVSS scores.
Tonic Security provides an AI agent–driven exposure management platform that ingests org data and threat intel to contextualize risk, prioritize remediation, reduce alert noise, and accelerate fixes. The company claims 50% faster MTTR and 90% fewer remediation actions needed.
OPC UA, a widely used industrial protocol, contains cryptographic design flaws that enable authentication bypass and message confusion attacks. Researcher Tom Tervoort has disclosed CVEs and PoCs that affect multiple vendors. He recommends applying patches, disabling OPC UA over HTTPS and Basic128Rsa15, and enforcing network restrictions like IP allowlists to limit exposure.
Application and Product Security face a disparity in connecting theoretical security concepts to practical environments. A lack of context defines the problem space, teams trying to avoid slowing down development, security tools not addressing where teams are struggling or organizational scale, and tooling being designed for gates instead of guardrails. AI-based tools may help in providing more context and tailored experiences, but they will not alleviate the resource constraints that many teams face.
Security researcher Eaton Zveare found a vulnerability in a carmaker's web portal that let him create an admin account with full access. He could access customers' personal and financial data, track vehicles, and enroll customers in features to control some car functions remotely. During testing, Zveare remotely unlocked and took control of a friend's vehicle.
Google disclosed a breach in its Salesforce CRM instance that exposed data of prospective Google Ads customers.
Marks & Spencer restored Click & Collect and most core online services months after the cyberattack in April, while some features remain down, such as online stock check, international orders, Sparks Pay, and occasion-cake ordering.
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Your competitors are reallocating budget, doubling down on content, and shifting paid strategies.
ChatGPT, Gemini, and Google's AI Overviews could disrupt affiliate marketing by giving direct product recommendations that bypass review sites, reducing traffic and altering attribution during the holiday season. This may hurt ecommerce merchants that rely on affiliates for low-cost customer acquisition, as fewer clicks could mean fewer sales. Some AI-driven sales may still come from affiliate-generated content, but without commissions, affiliates may create less content in the future.
Executives at major companies are maintaining or increasing marketing investments despite tariffs, inflation, and weaker job growth. Ralph Lauren raised marketing spending to 7.5% of sales from 6.7% last year, while Church & Dwight and Molson Coors plan to protect spending even at the cost of short-term earnings. Gartner data shows that over two-thirds of US consumers are adjusting their spending due to economic pressures. Yet companies like Kenvue and McDonald's remain focused on brand visibility, product innovation, and value, believing this will strengthen their position when conditions improve.
11 experts share strategies that delivered strong Google Ads results in the past 6 months. Their approaches included segmentation and consolidation to boost ROAS, focusing on unit economics for clearer strategies, and returning to basic marketing principles that lifted CTR by up to 67%. Other tactics involved using feeder strategies to cut CPA by 60%, enriching conversion tracking with server-side tagging and customer data, and building optimized landing pages to drive higher-quality leads. Experts also stressed the value of continuous self-development, blocking time for experimentation, mastering fundamentals before automating, and leveraging AI with the Google Ads API to build custom tools.
Informal, first-person TikTok videos lasting 10-15 seconds consistently drive the most product sales. Over half of social media users say content on platforms like TikTok and Instagram directly influences their purchases, and 45% are more likely to buy trending products. Around 70% use social media to decide if an item is worth buying, with verified reviews as the most trusted source. Everyday users are trusted for recommendations by 66% of people, compared to 49% for influencers and 38% for celebrities.
The creator economy has grown 19% since 2024 to $250B. Yet over 57% of full-time creators earn below the US living wage of $44K, and more than half make under $15K annually. NeoReach identifies a $15K “monetization barrier,” where income growth accelerates once surpassed, but most remain below it due to limited monetization options, content constraints, and weak revenue strategies. Brand deals, the top revenue source for 49% of creators, are down 10% from last year as more shift to ad revenue and self-owned brands. Creators who prioritize monetization earn over twice as much as others, averaging $132K.
At Chatbase, a 15-person team leverages over 20 AI agents powered by tools like Lovable, Make, and Supabase to enhance marketing, content, support, and sales efforts. Marketing agents analyze social media trends and competitor ads to shape campaigns, while content agents track customer questions to produce articles, newsletters, and help docs. Support agents handle conversations, convert FAQs into documentation, and identify high-intent leads. Sales agents qualify prospects, schedule calls, and record feature mentions to improve product and messaging. The post includes a video that illustrates how all these tools work together seamlessly.
Challenger brands can compete with category leaders by using a multi-message positioning that pairs two distinct associations instead of focusing on one. New Balance combines sports and culture through celebrity campaigns, fashion collaborations, and products that blend performance with style. Joe and the Juice pairs health with a rockstar vibe, creating a lively and distinctive brand experience that stands out from typical wellness-focused juice bars. Multi-message strategies offer differentiation, depth, and defensibility, but they also require strong guidelines and consistent execution across all touchpoints.
AI-driven search changes are forcing brands to diversify beyond traditional SEO, with strategies spanning social-led thought leadership, selective content gating, aggressive programmatic publishing, and more. Companies like Seer Interactive, HubSpot, Customers.ai, Nerdwallet, and Tally are blending owned media growth with multi-channel discoverability. The common thread is building resilience by owning audiences and reducing vulnerability to algorithm shifts.
Creative constraints, shock value, and authentic human tone are proving more effective than hype-driven AI launches or big ad spends.
Pepsi's new campaign partners deeply with creators, signaling a shift toward co-created advertising.
Companies that try to build modern products on outdated billing infrastructure get stuck in endless iteration cycles. Emerging winners like OpenAI can respond to market changes in hours instead of quarters because their pricing systems are flexible enough to keep up with product velocity.
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AI processes 50 emails for one customer and 5,000 for another. Document tools handle 100 pages for startups and 100,000 for enterprises. Same feature, wildly different value. Legacy billing
An attempt to save $20 on AI coding tools spiraled into days of frustrating debugging, revealing how cognitive biases can sabotage AI productivity. Clear mental models, timely investments, and bias awareness matter more than the tools themselves.
AI's biggest impact is in democratizing creation, embedding itself into all workflows, thriving on rapid tech adoption, leveraging social media as a growth engine, and competing fiercely for top global talent.
Win at product management by focusing on value, not busywork: lead with context, keep backlogs lean, overestimate forecasts, remove approval bottlenecks, and cut meetings to protect focus.
High performers risk burnout when they avoid taking time off, even with “unlimited vacation” policies. Sustained impact requires planned breaks, clear delegation, and leading by example to normalize recovery.
Strategy stalls when companies lack shared facts, clarity on the game they're playing, or the will to commit to focused action. Real progress starts with closing insight gaps, aligning on the true game, and converging on decisive next steps despite uncertainty.
Rows.com grew activation by launching loginless onboarding to capture high-intent users, designing onboarding around real jobs instead of UI tips, and using a generous freemium model to showcase AI's value early.
Record AI investment is fueling growth, but market valuations show investors expect competition to keep profits in check. This challenges fears of AI creating extreme inequality concentrated among a few dominant owners.
Modelbusters are companies that defy forecasts by either revealing far larger TAMs than expected or launching new products that unlock major adjacencies. They succeed by building “what” products over “how” products, pulling in customers through love and retention, leveraging network effects, and compounding growth far beyond financial models.
Coders are very socially and technically adjacent to the people who develop AI models and adopt technologies quickly.
Chasing entertaining learning over essential, outcome-focused growth prevents ambitious product people from achieving extraordinary results.
The `select` option in React Query allows for fine-grained subscriptions to specific parts of data fetched from an API. Using `select` prevents unnecessary re-renders by subscribing components only to the data they need, improving performance. For computationally expensive `select` functions, `useCallback` should be used for stable references and libraries like `fast-memoize` for memoization.
Radar, a geolocation infrastructure company, replaced its Elasticsearch and MongoDB setup with HorizonDB, a new geospatial database written in Rust. This change was due to the high costs and operational complexities of the previous system. HorizonDB was built using technologies like RocksDB and S2, and it improved performance, scalability, and developer experience.
The LLM Gateway team migrated from TanStack Start (alpha version) to Next.js and saw performance improvements, including perfect Lighthouse scores for Performance and SEO (both jumping to 100), and a Speed Index improvement from 2.4s to 1.1s. The switch was motivated by Next.js' better built-in optimizations, simpler development model, edge compatibility, and better system resource efficiency with more stable CPU and memory usage.