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This index lists complete English editions. Additional Chinese notes and bilingual updates remain available in the Chinese index.
The title sounds certain, but the argument contains many conditions. Applications might grow differently if models cross a usability threshold, if agents can deliver results and if organizations adapt to a new business model. An agent here is a model system that uses tools and advances tasks, rather than a name for every chat window.
If a company connects AI throughout its processes and reports impressive coverage, has its business improved? Feng Cheng examines acquisition, conversion and delivery, then concentrates on leads already obtained: potential customers who receive slow responses or inadequate explanations.
This is a bookmark collection of going-global + AI product tool links exported by Will from Product Hunt / Notion. It is neither a design methodology nor a tutorial — each entry only contains "product name + official website URL + bilingual category title". It covers 26 major industry categories (AI Agents / LLMs / Voice AI / E-commerce / Finance / Design & Creativity / Engineering & Development / Productivity / Company Operations / Product R&D / Marketing & Sales / Social & Community / Consumer / Health & Fitness / Healthcare / Travel / Education / Real Estate / Industry / Government / Home / Physical Products / Plugins / Platforms / Web3, etc.) plus one Mobbin App/Web design reference list, with around 256 subcategories and approximately 2,600+ tool links. Its purpose is "when I need to find a certain type of tool (payment/translation/AI avatar/no-code website building/CRM…), quickly recall which benchmarkable references Will has bookmarked". Design knowledge such as i18n / global design patterns / ethics is not included here; see nngroup-patterns-ethics-global-emerging.
A benchmark is a set of test tasks and corresponding standards. Evaluation is the process of using standards to analyze and judge performance. Dingding begins with this distinction: public tasks reflect some capabilities without necessarily covering a product’s actual inputs and processes.
A distillation of the core principles and foundational dimensions of Google Material 3 (M3), synthesized from Will’s Notion design notes (123 .md files across 12 categories). It covers: ① The soul of M3 — Dynamic Color (extract source color from wallpaper/content → algorithmically generate 5 key colors → tonal palette 0–100 → 26 semantic Color Roles, achieving four goals: personalization, automatic dark mode, user-controllable contrast) and the underlying HCT color model (Hue/Chroma/Tone, closer to human vision than HSL); ② Color role system (Primary/Secondary/Tertiary/Error/Surface + Container + On + Variant naming convention, 3 contrast levels Standard/Medium/High corresponding to 3:1 and 7:1); ③ Type Scale (15 styles across 5 major categories Display/Headline/Title/Body/Label, Major Second 1.125 ratio, variable fonts with 4 axes: weight, grade, width, optical size); ④ Shape (7 corner radius levels None→Full plus rounded/cut corner families); ⑤ Tonal Elevation (levels 0–5 dp; M3 uses tonal differences and overlays instead of shadows); ⑥ Layout (Window Size Classes Compact <600 / Medium 600–840 / Expanded 840–1200 / Large / XL, information density, 48dp touch targets); ⑦ Adaptive (3 strategies: hide/show, float, reflow); ⑧ Motion (easing emphasized/standard × duration 200–500ms); ⑨ Interaction state layers (hover +8% / focus +10% / press +10% / drag +16% opacity overlay); ⑩ Accessibility (WCAG contrast 3:1/4.5:1) and ⑪ Content design (20 English UI copy rules). Value for PMs: use it as a checklist when reviewing design drafts (is contrast sufficient, are touch targets large enough, are color roles used correctly, is copy sentence-case), understand why “design tokens” and “semantic colors” reduce collaboration costs, and which parts of M3 are hard constraints to copy directly (accessibility/touch target sizes) versus stylistic choices that can be deviated from (dynamic color/corner radius/font sizes). Division of labor with [[nngroup-visual-design-systems]]: that article is a general overview of “what a design system is” (Design System vs Style Guide, adopt/adapt/build your own), while this article explains the internal principles and numeric rules of the specific Material 3 design system. Audience = product managers; jargon is explained in industry terms, with a Why for each section.
A self-contained bilingual highlight of Google’s official Prompting Essentials course. The core is the 5-element prompt framework TCREI (Task / Context / References / Evaluate / Iterate, with the mnemonic Thoughtfully Create Really Excellent Inputs), which frames writing prompts as equivalent to writing a clear brief for a new hire. It covers: 4 iterative fix methods (return to the framework / split long prompts / switch to a similar task / add constraints) and chain-of-density summarization; prompt chaining, which uses the previous step’s output as the next step’s input, distinguished from simple iteration, including chain-of-thought / tree-of-thought variants; reusable prompt skeletons for 6 high-frequency office scenarios (brainstorming / table trackers / meeting notes / data visualization / text-to-image / presentation speaker notes), plus email writing / summarization / tone and style / multimodal prompts / meta-prompts / decoding formulas and jargon; and a human-in-the-loop checklist for responsible AI use (preventing hallucinations / preventing bias / protecting data). It complements [[newtype-prompt-engineering]]: while Lao Huang’s piece takes the contrarian stance that “prompt engineering doesn’t need to be studied” and covers product-grade prompt orchestration, this article provides Google’s official standardized framework and scenario templates, suitable for non-technical PMs to use immediately as a starting point.
Google Search ranking mechanisms (14 named ranking systems + 4 retired systems). How to diagnose traffic drops from Core updates and response strategies (wait + self-check + no quick fixes). Spam updates and SpamBrain. Establish official identity via Business Profile + Search Console + Knowledge Panel + Organization structured data. 1 key decision table (small drop vs large drop)
Roles and topic categorization for 80 authors of the Google Search Central blog. Includes Matt Cutts (Distinguished Engineer on the early Search Quality team), John Mueller (Search Advocate / official search spokesperson), Gary Illyes (Google Search team analyst), Vanessa Fox (PM from the founding era of early Webmaster Tools), Maile Ohye (technical lead for developer programs), Susan Moskwa (early Webmaster Trends analyst), Pierre Far (Webmaster Trends), Danny Sullivan (Public Liaison), Martin Splitt (Googlebot Whisperer), Daniel Waisberg (Search Advocate / Search Console), Lizzi Sassman (technical writing), Cherry Prommawin (APAC search quality), Duy Nguyen (search quality), and others. **The author pages themselves are extremely minimal** (role + Twitter link), and this serves as a reference directory.
Role and topic domain classification for 80 authors of the Google Search Central Blog. Includes Matt Cutts (Distinguished Engineer, early Search Quality), John Mueller (Search Advocate), Gary Illyes (Analyst, Google Search team), Vanessa Fox (Product Manager, founding era of Webmaster Tools), Maile Ohye (Developer Programs Tech Lead), Susan Moskwa (early Webmaster Trends Analyst), Pierre Far (Webmaster Trends), Danny Sullivan (Public Liaison), Martin Splitt (Googlebot whisperer), Daniel Waisberg (Search Advocate/SC), Lizzi Sassman (Technical Writer), Cherry Prommawin (APAC Search Quality), Duy Nguyen (Search Quality), and more. **The author pages themselves are extremely minimal** (role + Twitter link), serving as a reference directory.
Entry-level guide to Google Search Central. Covers the 3 stages of Google Search (crawl/index/serve), the 3 pillars of Search Essentials (technical requirements/spam policies/best practices), E-E-A-T and helpful content self-checks, the impact of generative AI (AI Overviews + AI Mode) on SEO, things you don’t need to do (AEO/GEO/chunking/llms.txt are all myths), pitfalls to avoid when hiring an SEO consultant, and complete checklists for site launch, content optimization, links, mobile, and HTTPS.
15 months of SEO office hours Q&As from the Google Search Quality team + thematically distilled takeaways from 3 official FAQ topics. Covers indexing realities / the truth about 404s / site migrations / canonical tags / robots vs noindex / hreflang / mobile-first indexing / spammy links / structured data boundaries / hacked site characteristics / quality-first approach / sitemap limits / AI content / CTR misconceptions / speed metrics / comment aggregation pitfalls / Geo-IP anti-patterns / Bloom filter explanation / soft 404s / memorable quotes from Google representatives
Complete notes for Course 1 of the Google UX Design Professional Certificate, *Foundations of UX Design*. Covers the 4 qualities of good UX (Usable/Equitable/Enjoyable/Useful) + the designer role spectrum (generalist/specialist/T-shaped + 7 job roles + cross-functional collaboration) + 4 entry paths + 4 steps of user-centered design (understand/define/design/evaluate) + 3 stages of accessibility evolution (universal → inclusive → equitable + AT assistive technology) + cross-platform design + 5 stages of design thinking (empathize/define/ideate/prototype/test, with stage-by-stage method libraries) + 5-day design sprint + sprint brief + retrospective meeting + business requirements (goals + parameters) + 3 categories of UX research (foundational/design/post-launch) + 6 types of research bias + 8 bias mitigation practices. Targeted at PMs, with a comparison to Yitang's five-step method / requirements analysis.
Google UX Certificate Course 2 (Ideation) + Course 3 (Build Wireframes & Low-Fi Prototypes). Covers design ideation (goal statement formula + HMW + Crazy Eights + 5-step competitive audit) + user flows (4 shapes: circle for action / rectangle for page / diamond for decision / arrow for flow) + storyboards (4 elements + 6 panels + two types: big-picture vs close-up) + fidelity concept + wireframes (paper → digital + reverse engineering exercise + industry standard drawing conventions) + information architecture (IA) (organization/hierarchy/sequence + Dan Brown's 8 principles + sitemap parent-child structure) + Figma basics + Gestalt principles (similarity/proximity/common region/closure/continuity/symmetry) + low-fidelity prototypes (Figma connections + 5 benefits of paper prototypes + mobile-first). Aimed at PMs, clearly explaining the stage "from idea to clickable draft".
Job search section of the Google UX Certificate. Cross-device 4C principles (Consistency/Continuity/Context/Complementary) + Mobile-first + Design for Social Good + Portfolio (website best practices / 7 elements of case studies / tailoring to positions / website builders) + Portfolio interview presentation template (Cover → About Me → Project Problem-Process-Final-Impact-Learnings → Key Takeaways → FAQ) + Resume (information hierarchy/grid/two-column/personal branding/tools) + Interview (process/three key points: adaptability-passion-learning/whiteboard interview/STAR/value company culture over company name) + Career path (UX specializations/company types/freelance business plan + client acquisition/UX communities/Impostor Syndrome) + Collaboration with engineering. For PMs
The testing and iteration segment plus design critique from Google UX Certificate Courses 4-5. Covers 3 criteria for judging a design "done" + high-fidelity iteration (prioritize revising static mockups first) + Design Critique (3 roles: facilitator/presenter/reviewer + 4-step process + 5 preparation questions for presenters + reviewer guideline "describe problems, don't give solutions" + tips for giving/receiving feedback + 6 categories for turning feedback into action) + development Handoff (edge cases + accessibility specs + small-company relay handoff vs large-company collaboration + Figma handoff/thumbnail/permissions/view mode). Targeted at PMs, mapped to critique meetings/requirement reviews.
The complete "Using AI for UX" module added to the Google UX Certificate in 2024+. T-C-R-E-I prompt framework (Task/Context/References/Evaluate/Iterate) + Gemini assistance: generate user personas / simplify design specifications (Material) / diverge in design iteration / improve stakeholder communication (remove jargon) / write portfolio copy and case studies / generate realistic placeholder copy. NotebookLM document grounding (project knowledge base + interview preparation + audio overview). Job search AI: Career Dreamer + career identity statement + transferable skills + AI resume revision (basic version + job-tailored version) + cover letter + STAR interview method + Gemini Live mock interview. Directly applicable AI workflows for PMs.
The complete research craft collection from Google UX Certificate Course 2 (Empathize/Define) + Course 4 (Conduct UX Research). Covers 5-step interview SOP + 5 traits of research objectives/participants/questions + empathy map (Says/Thinks/Does/Feels) + persona vs user profile + problem statement (formula + 5W1H) + hypothesis statement (if-then / we believe) + 4-step value proposition + human factors engineering (WWI/WWII history) + design psychology (color/Von Restorff/serial position/Hick's Law/mental model/feedback loop + ethics) + 7 elements of a research plan + usability study (pros and cons of moderated vs unmoderated + best practices before/during/after + note-taking methods) + moderator/participant bias + affinity diagram analysis + patterns → themes + 5 criteria for strong insights + 7 presentation tips. Targeted at PMs, cross-referenced with Yitang research/user interview methodology.
Google UX Certificate Course 5 (Visual Design / Mockups / Design Systems) + Responsive Websites. 4 visual elements (typography/color/iconography/lines, size, shape, images) + color (60-30-10 rule + color psychology + WCAG contrast 4.5:1 + accessibility for color blindness/low contrast/photosensitivity) + typographic hierarchy/legibility + icons (action vs supplementary + text labels + branding) + layout (grids/containers/white space) + visual principles (emphasis/hierarchy/scale & proportion/unity & variety + Gestalt) + Mockups (static high-fidelity) + design systems (4 components + 4 levels of UI patterns + 5 benefits + Sticker Sheets + Figma components/instances + Material/Polaris/Apple HIG/Fluent/USWDS) + responsive design (pros and cons of native apps vs responsive web + hamburger menus/cards/carousels/CTAs) + design ethics (attention economy/dark patterns/marginalized groups). Targeted at PMs
The title connects three months in the United States, conviction and ten-million-dollar ARR. Joe is more specific: ACE Studio then earned about US$800,000 monthly, compared with a previous level above US$80,000. Growth was slow for five weeks before a change from week six. Multiplying US$800,000 by twelve gives about US$9.6 million, a monthly run rate rather than proof of full-year collections or revenue entirely meeting recurring-revenue definit
Listen: 02:49–16:32. Yu recalls roughly forty million daily users when he joined, alongside anxiety about an entertainment product's ceiling. Familiar-person social features might create reasons to return even without wanting video, strengthening retention and broadening adoption.