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#Tutorial/How-to

Oct 8

TodayOct 8Thu28 items
  1. Tessl BlogAI score42

    Tessl Says Merge Rate Shows Whether AI Adoption Is Real

    Tessl argues that an AI-native organization collapses the handoff between people who own outcomes and the work itself, so product managers and designers can execute changes through agents. It says PR count and token spend are insufficient measures, and that merge rate better shows whether the new workflow is working. The article also says the boundary should follow decision authority, with engineers still owning architecture and data models.

  2. Tessl BlogAI score52

    Simon Martinelli Explains Using System Use Cases as Specs for AI Code Generation

    The author argues that system use cases, with actors, preconditions, scenarios, and acceptance criteria, work better than user stories as the input for AI code generation in enterprise business applications. He describes a process that skips the plan-and-task phase, reverse-engineers legacy systems into use cases and entity models for modernization, and recommends self-contained system verticals and risk-based review.

  10. AWS Machine Learning BlogAI score40

    Cornerstone cuts database diagnosis time 78% with Orion AI on Amazon Bedrock

    Cornerstone OnDemand built Orion AI, a multi-agent system using Amazon Bedrock and the open source Strands Agents framework, that cut database diagnosis from 45 minutes to 10, a 78% reduction. The system also reduced manual lifecycle steps from more than 10 to a single interaction and filtered redundant alerts by a median of 65%. A three-person team delivered it in six months.

  11. Xiaomi MiMoAI score63

    Xiaomi releases MiMo-V2.5-TTS series of speech synthesis models

    Xiaomi released the MiMo-V2.5-TTS Series, three speech synthesis models for stock voices, voice design, and voice cloning. The models accept natural-language style instructions and inline audio tags, and the source says the three models are free of charge for a limited time on the Xiaomi MiMo API platform. Xiaomi also open-sourced integration Skills for agent applications on GitHub.

    AIWhy it matters: The release shows how a TTS family adds style instructions, inline audio tags, and voice design or cloning to speech synthesis, which matters for agent and creative workflows.

  13. Databricks BlogAI score38

    Lakebase Branches Give Parallel Coding Agents Isolated Databases

    Databricks introduces database branching in Lakebase Postgres, letting each coding agent work in its own isolated database branch created in under a second regardless of size. Branches use copy-on-write storage, consuming extra space only as they diverge, and scale to zero when idle so unused branches incur no compute cost. Schema changes are tracked in code and promoted to the parent branch through migrations rather than merged back, and ephemeral branches are created per pull request for testing.

  15. NVIDIA NewsroomAI score46

    Developers Use Frontier AI Agents to Build NVIDIA Omniverse Simulations

    NVIDIA developers are pairing frontier AI models, including GPT-6 Astra and Claude Fable 5, with Omniverse libraries to turn simulation ideas into working applications. Examples include a humanoid warehouse simulator, an autonomous-driving testing workflow, and sensor-matching digital twins. The projects are guided through natural-language instructions and reviewed by developers.

  16. NVIDIA BlogAI score49

    How Developers Use Frontier AI Agents to Build Omniverse Simulations

    Developers are pairing frontier AI models with NVIDIA Omniverse libraries to turn simulation ideas into working applications, from humanoid warehouse simulators to autonomous-driving test environments. In the examples, developers direct AI agents through natural-language instructions and review results, while Omniverse provides GPU-accelerated physics, rendering and sensor simulation. One experiment reported a simulated Unitree G1 humanoid clearing a hurdle in 64 of 100 trials.

  17. Databricks BlogAI score29

    Biomedical Imaging's Real Bottleneck Is Data Access, Not AI Models

    Hospitals, academic centers, medtech firms, and pharma companies all face the same obstacle: imaging data is locked in clinical systems and hard to share. The EXAM study across 20 institutions showed federated learning, which shares model weights rather than patient data, improved AUC by 16% on average. Collaboration remains difficult due to scanner and protocol heterogeneity, privacy governance, and the lack of a common data substrate.

  18. NVIDIA Technical BlogAI score26

    How to create SimReady robotics assets from CAD with frontier AI models

    NVIDIA's Omniverse libraries, guided by SimReady Foundation specifications and agentic NVIDIA skills, provide a structured workflow for converting CAD assets to OpenUSD for robotics simulation. The workflow covers configuring and validating materials, collision geometry, joints, and other physics properties before testing robot behavior.

  19. Comfy BlogAI score34

    How I Generated Live Video with MiniMax H3 on a Single GPU

    A ComfyUI developer generated 15-second 448×256 video in 15 seconds or less on one RTX 5090 using MiniMax H3 with FastVideo's FastH3 V2 checkpoint in four sampling steps. The setup combined sparse attention, a smaller ClipProj text encoder, a pruned INT8 checkpoint, and a fused FP4 MLP, cutting VRAM needs from 80GB to under 30GB. The custom ComfyUI node is open source.

  20. Tessl BlogAI score29

    One Brain Means Owning Your Organizational Memory

    Leapfrog, a small team doing high-volume AI visual and production work for fashion and brand clients, is building a "one brain" system that makes company knowledge and client context searchable through natural-language agents. The starter stack described is OpenClaw in a sandbox, a GitHub repository, Obsidian on the local machine, and Telegram as the access point. The system's research structure had roughly 1,200 files at the time of the talk.

  21. Tessl BlogAI score52

    Cisco engineer argues agent skills need a context pipeline with evals

    John Groetzinger, writing in a personal capacity rather than for Cisco, argues that enterprise skills need packaging, evaluation, syncing, and distribution rather than scattered markdown files. He describes using skills to make cheaper models viable, converting curated TAC knowledge-base articles into maintained skills, and rolling out an eval framework across teams. He also describes syncing a repository README to Confluence with a deterministic script.

  22. AWS Machine Learning BlogAI score46

    AWS Pays Per Inference for AI Agents with BlockRun and Incarna

    Amazon Bedrock AgentCore payments lets AI agents pay for model inference one request at a time, using x402 with USDC on the Base network. Incarna used the service to connect its agents to BlockRun, a pay-as-you-go router serving more than 90 models from more than 15 providers. Spending limits are enforced at the infrastructure layer, outside the model.

  23. AWS Machine Learning BlogAI score27

    Share SageMaker HyperPod GPU clusters across teams with isolation and fair scheduling

    AWS published a reference architecture for running multiple teams on one Amazon SageMaker HyperPod EKS cluster, with each team isolated in its own Kubernetes namespace. The design combines AWS IAM Identity Center for authentication, per-team SageMaker AI domains, HyperPod Task Governance for fair resource allocation, and namespace-level cost allocation for per-team spend visibility.

  25. Databricks BlogAI score35

    How to build governed enterprise apps on Databricks with Replit and Lakebase

    Replit and Databricks integration, now generally available with native Lakebase support, lets enterprise teams build apps from plain-language prompts using Replit Agent and deploy them as Databricks Apps. Deployed apps inherit automatic user authentication and Unity Catalog access controls, and Replit Agent auto-provisions a managed Lakebase Postgres database for operational data. Lakebase keeps app-written data inside the Databricks perimeter instead of a separate external database.

  26. ElevenLabs BlogAI score26

    How to build a meeting transcription API with Scribe v2 and Scribe v2 Realtime

    ElevenLabs explains how to build meeting transcription products using its Scribe v2 and Scribe v2 Realtime models through its API. Real-time transcription suits live captions and in-meeting bots, while batch transcription suits post-meeting notes and records, with Scribe v2 Realtime reporting 150 ms latency and supporting up to 50 key terms for prompting.

  27. Anthropic ResearchAI score62

    Anthropic researcher builds first complete UV sky map with Claude Science

    Johns Hopkins astrophysicist Brice Ménard, working as an Anthropic researcher, used Claude Science to produce the first complete map of the sky in ultraviolet light. Claude orchestrated agents to merge GALEX, Swift, and FIMS/SPEAR data, then predicted roughly a third of the sky that no UV telescope had observed, using relationships to visible, infrared, and radio data. Hidden test regions were reconstructed to within about 10% of real measurements, and each pixel is labeled measured or predicted with uncertainty estimates.

    AIWhy it matters: The post shows how an astrophysicist used Claude Science agents to merge UV surveys and predict missing sky regions, with a validation step that makes the method reusable.

  28. LangChain BlogAI score67

    LangChain's Restock agent shows how to build a payment-capable AI agent

    LangChain built Restock, a sample office-supply agent that runs in Slack on Managed Deep Agents and pays through Stripe's Link wallet. The agent searches products, builds a cart, and pays over the Machine Payments Protocol, with the user approving the purchase in Slack and the payment in Link. The post uses a pens order at $22.18 to show the flow from request to confirmed order.

    AIWhy it matters: The post walks through how an agent handles search, budget limits, Slack review, and Link approval, showing where each control sits outside the model.

Oct 7

Oct 7Wed
  1. Google Developers BlogAI score62

    Google's AQuA agent diagnoses production failures in a multi-agent travel concierge

    Google Developers Blog introduces AQuA, an ambient quality agent that runs in a customer's Google Cloud project and samples production sessions to find recurring agent failures. In a 32-session travel-concierge sweep, it verified six issues and traced two of them to specific prompt lines, and a replay after the fixes raised full-session passes from 5/32 to 13/32. The post notes that verification and diagnosis are model-based, and that the tool proposes edits without applying them.

    AIWhy it matters: The post walks through a concrete production workflow, from sweep and verification to a code-anchored fix and replay, that shows how to diagnose silent agent failures.

  2. Hugging Face BlogAI score66

    How one developer built six custom models with ML-Intern for about USD 103

    A Hugging Face blog author used the ML-Intern agent in HuggingChat to build six small models by writing detailed prompts that specify datasets, base models, baselines, smoke tests, and spending limits. The projects include a citrus disease vision-language model, a Huggy character LoRA, a camera-angle LoRA, a doodle-to-object LoRA, a 0.8B prompt rewriter, and a 4-step distilled Agate model, with total compute cost of about USD 103. Each project's prompts and public models are linked from the post.

    AIWhy it matters: The author shows how prompt structure, baselines, smoke tests, and budget caps shape an agent-driven training workflow, with per-project costs given.

  3. Microsoft Foundry BlogAI score22

    Azure Document Intelligence vs. Content Understanding: Choosing the Right Document Service

    Microsoft's Foundry blog guide advises keeping existing Azure Document Intelligence workloads that meet production requirements. It recommends evaluating Azure Content Understanding for high-variation, unstructured, reasoning, RAG, or multimodal document scenarios, and for new cloud OCR or layout workloads.

  4. Databricks BlogAI score41

    Databricks Apps Adds On-Behalf-of-User Authorization for Permission-Aware Apps

    Databricks announced general availability of on-behalf-of-user (OBO) authorization for Databricks Apps, letting apps act with the signed-in user's identity so Unity Catalog enforces that user's row filters and column masks. Developers can request narrow API scopes such as sql:restricted-query, which allows only read-only SQL queries, while apps keep a dedicated service principal for app-owned operations.

  5. NVIDIA Technical BlogAI score22

    Validate AI Factory Changes with Digital Twins and AI Agents

    NVIDIA describes using digital twins and AI agents to validate changes to AI factory infrastructure, which combines GPUs, CPUs, switches, DPUs, and SuperNICs with schedulers, orchestration services, security controls, and a fast-changing software stack. The source frames the challenge as confirming that hardware, software, and policies work together for target workloads before deployment. The available excerpt does not give further detail on specific tools or results.

  6. AWS Machine Learning BlogAI score38

    Agentic Automation Business Cases Need to Count More Than Saved Hours

    AWS Machine Learning Blog argues that the traditional hours-saved ROI model, built for rule-based RPA, misses most of the value of agentic automation. It proposes an Agentic Value Model covering time savings, exception handling, decision quality, and change resilience, with value counted only when tied to a defined P&L mechanism and owner.

  7. AWS Machine Learning BlogAI score44

    Qlik Builds Grounded Enterprise AI Answers Using Amazon Bedrock

    Qlik built Qlik Answers, a natural-language assistant that returns sourced answers from knowledge bases, analytics apps, glossaries, and documents, using Amazon Bedrock for model access. The system routes each question through specialist agents and retrieval on Amazon OpenSearch Service, with Amazon Bedrock Guardrails applied to every request and response. Qlik serves more than 40,000 customers across regions, using Amazon SageMaker AI as an in-Region fallback when models are not yet available on Bedrock.

  8. AWS Machine Learning BlogAI score53

    Automate remediation after AWS DevOps Agent investigations with Lambda and Bedrock

    The AWS Machine Learning Blog describes an automated remediation workflow that acts on AWS DevOps Agent investigation results. Amazon EventBridge triggers a Lambda durable function that uses Amazon Bedrock to propose fixes from an allowlist of tools, running read-only actions autonomously and pausing for human approval before infrastructure changes. The post demonstrates the flow with a Lambda function whose 3-second timeout is raised to 30 seconds after a single approval.

  9. AWS Machine Learning BlogAI score32

    AWS playbook: six-week program closes AI builder gap for non-engineers

    AWS ran a six-week program pairing non-engineering professionals with mentors and tools like Amazon Bedrock AgentCore and the Strands Agents SDK to build working AI prototypes. Four participants with no engineering background built WealthWise, a multi-agent financial advisory tool with five agents on Amazon Nova models, which won first place. The article says participants who completed the phased program retained three times more practical skills than those in two-day intensive formats.

  10. ElevenLabs BlogAI score14

    Contact center automation guide explains AI tools for faster customer support

    Contact center automation uses AI to handle customer support workflows with little or no human intervention, including voice, chat, and email. Unlike traditional IVR systems, AI contact center software understands intent, retrieves customer data, and routes complex cases to human agents. The guide cites Klarna, Rohlik, and Getmobil deployments of ElevenAgents, with Klarna offering voice support to 35 million US customers.

  11. Claude BlogAI score66

    Claude skill commands build evals and hillclimb them against overfitting

    Anthropic added build-eval and hillclimb commands to its claude-api skill for designing evaluations and iteratively improving applications against them. The article covers eval design principles, including production-representative tasks, headroom and low variance, and guards against overfitting through train/test splits. Two examples report results: a customer support benchmark where cost fell to under half while accuracy rose, and a claude-api skill eval that rose from 66% to 88%.

    AIWhy it matters: The article gives a concrete workflow for designing evals and hillclimbing without overfitting, with two worked cost and performance examples that show the tradeoffs.

Oct 6

Oct 6Tue
  1. Google Developers BlogAI score49

    Google Developer Knowledge API Gives AI Agents Official Documentation Access

    Google's Developer Knowledge API offers an official, programmatic source of Google Cloud, Firebase, and Android documentation for AI agents and developer tools, replacing web scraping with structured, Markdown-formatted results. The ecosystem includes a gcloud CLI surface, an agent skill that works with MCP-compatible tools, API Explorer, and client libraries for C#, Go, Java, Node.js and TypeScript, PHP, Python, and Ruby.