#Tutorial/How-to

AIConversation intelligence records and transcribes sales and support calls, then uses AI to tag sentiment, objections, and action items for team-wide review. The guide explains how the pipeline works, from data capture and transcription to analysis and CRM sync. It also outlines benefits such as faster coaching and less manual data entry.

AIPre-AI, I have no idea how, beyond a LOT of manual migration work; and try to automate some of it. With AI, it's suddenly very doable. Details from @UberEng at

AI…amplitude bits, hash it with the value being (time stamp, track id) and then the actual recognition is a hashtable lookup. We did this for a college CS project. The original paper is fantastic:

AIThe article explains how to write AI video prompts that produce authentic claymation and stop-motion looks without physical sculpting or frame-by-frame photography. It stresses specifying material properties such as polymer clay with visible thumbprints, movement rhythm such as a 12fps animation feel, and negative prompts such as "no photorealism" to suppress glossy 3D defaults. It also includes 15 example prompts organized by material, texture, and category.

AIThe guide gives a prompt formula for AI tattoo designs: Subject + Style + Composition/Placement + Detail Level + Color + Mood. It says geometric and dotwork styles produce strong AI results, and that placement-specific wording, such as "small wrist tattoo" or "full sleeve design," helps set appropriate detail. It also recommends changing one variable at a time when refining prompts.

AIComcast and Booz Allen used Claude Mythos Preview to find vulnerabilities that arise from interactions across code, configuration, and deployment rather than single-file bugs. Comcast identified a critical authentication flaw across 258 systems and about 170 million lines of code before any exploitation was observed. Booz Allen reported that one analyst reviewed eight production systems across 138 repositories in twelve days, a review its team estimated would have taken several months without the model.

Why it matters: The case studies show how security teams validate and remediate model-found exploit chains, a workflow relevant to anyone managing large codebases.

AIThe guide offers a prompt structure for cyberpunk visuals built from subject, environment, lighting, camera, style, and quality modifiers, with magenta and cyan neon, rain-slicked reflections, and fog named as key mood elements. It presents 15 ready-to-use prompts and argues that free tools suit testing directions, while full access is needed for commercial campaigns.

AIEffective AI horror video prompts depend on three elements: tension built before anything appears, lighting that hides more than it reveals, and a slow reveal that rewards viewer dread. The guide recommends a five-part prompt structure covering subject/setting, lighting source, camera movement, atmosphere, and action/reveal, with subtle modifiers like "almost imperceptibly" to restrain the action. It also includes 15 example prompts for creators building faceless YouTube channels or proof-of-concept trailers.

AIThis guide offers 15 sci-fi prompts for AI video generation across alien worlds, spacecraft, and practical effects, each built on a five-part structure of subject, sequence, setting, shot, and style. It argues that generation is only the start, with refinement, consistency, and delivery determining whether clips are usable in professional production.

AI…the components or logic to do common things like state machines, diagrams, code snippets, etc.

AIOpenAI says it will ship one meaningful Codex and Work improvement each day for 28 days starting October 5, or else offer a "reset" without specifying what that reset covers. The company also plans to test visual ads in ChatGPT image generation in the U.S. starting in late October, with ads kept separate from generated images and not affecting answers.

AII like the mix-in of HTML for questions and interactive diagrams @trq212 the questions -> clipboard pipeline is cool

AIGoogle released EmbeddingGemma 2, an open embedding model under the Apache 2.0 license that maps text, code, images, video, and audio into a shared 768-dimensional space. Developers can load a 270M-parameter text and code setup, or add vision and audio encoders up to a 740M-parameter full multimodal model. Matryoshka truncation to 256 or 128 dimensions reduces vector storage, with the guide noting quality losses on image, video, and speech retrieval at lower dimensions.

Why it matters: The guide gives concrete encoder sizes and dimension-storage tradeoffs, showing how to choose a configuration for text, code, image, video, and audio retrieval.

AIVercel's COO Jeanne DeWitt Grosser described how the company built an AI agent that runs the top of its sales funnel, starting from a roughly 125-line prompt written by its best SDR. The team moved the agent from supervised drafting to autonomous operation by August, then split the prompt into 14 deterministic rules and a model-handled judgment layer. Grosser said the system runs inbound for about $1,000 per year in inference and infrastructure.

AI…in Claude, instead, it persistently chats with a dedicated cloud VM). I found it to be much better in most ways, but not clearly documented.

AIDex Horthy advises writing all decisions and context into documents in the artifacts, such as design or research files, so sessions can resume after compaction or be handed to another person. He suggests loading them in a new session with a skill like `/rpi:iterate-design-discussion`, or simply @-mentioning the relevant artifacts. His core principle is that nothing important should live only in the context window.

AI…html-plan@claude-community here's an example:

AIIt uses simple language, shows code snippets, surfaces questions & makes mockups. Linting reduces the normal failure cases that Claude runs into. Would love your feedback before shipping more broadly!

AIA classifier assigns an input to a fixed label set, covering binary, multiclass, and multilabel variants, such as spam versus not spam or movie genres. It encodes the input into a vector using hand-built features like logistic regression or a learned encoder such as a CNN or BERT. A linear layer then projects that vector into K logit scores, which softmax or sigmoid turns into probabilities.

AILlamaIndex argues that traditional OCR, which makes one pass and returns unchecked text, is being replaced by agentic OCR. The approach treats parsing as a loop with layout-aware reading order, routing of hard elements such as tables and charts to suitable models, and multi-pass self-correction.

AI…sessions and delivers instant phoneme-level pronunciation diagnostics:

AI…generates its own adaptive soundtrack live in your browser:

AIA: Weigh the cost and how saturated the eval is against the business value of catching the error. Read more: Read all the FAQs here:

AIBruce Hopkins shows how to wrap an existing stock-data REST API, the Twelve Data API, in a Model Context Protocol (MCP) server so an MCP client can discover and call it. The demo uses Python with FastMCP, exposing current and historical stock-price functions as tools and resources with descriptive prompts. Developers can add an MCP interface around existing capabilities without replacing their underlying application logic.

AIThe post, by 卡尔的AI沃茨, publicly shares an AI workflow previously presented internally at 影视飓风, covering finding suitable Skills, packaging experience into Skills, combining Skills into workflows, and batching and scheduling them. The author says this lets readers build a local batch video-editing Skill and a full-chain content pipeline spanning copy, posters, video, and web pages.

AITheir AWQ-4bit, batch-1 text-prompt tests cut time to first audio from 213ms to 23ms vs. stock vLLM-Omni. We’d love to see these optimizations contributed upstream to vLLM-Omni so more users can benefit!😄

AIThe PyTorch Accelerator Integration Working Group released updates on its H1 2026 progress toward standardizing how new hardware connects to the framework. Key workstreams include the Cross-Repository CI Relay (CRCR), which automatically reports downstream backend test results to a shared dashboard, and refactored test suites that decouple PyTorch's 600,000-plus tests from specific accelerators.

AIA native word-level transcription model outputs structured, timestamped arrays of word, spacing, and audio_event tokens directly from audio input, without a secondary forced-alignment pass. Audio events such as laughter or applause are tagged separately, which the source says helps with captioning, searchable archives, and highlight identification. The source notes Scribe's word-level transcription supports up to 5 independently transcribed channels.

AIReliable AI agent systems need deterministic policy checks, not just better prompts or stronger models, because a model's proposed action can succeed at the API level while still updating the wrong account. The article recommends separating the model's proposal from a policy service that checks actions before execution and records an audit trail. It also advises treating agent context as untrusted input, using narrow capabilities instead of broad tokens, and building in stopping rules and idempotent recovery.

AIBrian's Grok Bot method treats each bot like a new hire: define the role, test it on text first, run three trials, escalate based on evidence, and add a second agent only after a bottleneck appears. Each bot's role is defined by five fields: a real name with a short label, a one-line job tied to an outcome, what it owns, its inputs, and what it may do freely versus what it must ask before doing. The post frames an Agent Team as the final result of this process, starting with one coordinator and three specialists.

AIThe /break-ui Skill, added to the Skills For Designers and Engineers repo with 43K stars and 1.9M installs, plays the most annoying real user to stress UI components with worst-case but realistic data. It targets bugs manual testing misses, such as "1 members" pluralization errors, zero-value "0 seconds ago" rendering, cross-timezone date shifts, and emoji or CJK names breaking initials logic. The skill reports issues before fixing them, and only changes the data, never the component.

AIUber uses a control plane and data plane gateway to automatically convert its internal APIs into MCP tools, with 800+ MCP servers and 5,000+ tools hosted. The design includes an AutoCrawler that generates tool descriptions with an LLM, a default-disabled discover-not-expose security model, and techniques such as Omni MCP, Response Projection, and Code Mode to limit context bloat.