iCreatAI News
Back to main site
Skip to content
Only First party#Agent
Nov 3Tue
  1. AWS Machine Learning Blog38

    How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

    Circle K built an agentic AI triage system on Amazon Bedrock that investigates Grafana alerts across AWS resources, OpenSearch logs, and GitHub code, then posts a structured root-cause summary to Slack. Initially built on Amazon Bedrock Flows, the system was migrated to a single agent on Amazon Bedrock AgentCore Runtime with AgentCore Gateway brokering data source access. Circle K reports mean triage time dropped from 45–60 minutes to under 15 minutes, a 67–75 percent reduction based on internal incident-response metrics.

  2. AWS Machine Learning Blog40

    Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

    This post describes a multi-agent engineering assistant built on Amazon Bedrock AgentCore, Amazon Nova Multimodal Embeddings, and the open source Strands Agents SDK that assembles evidence for aerospace part substitution decisions. A planner routes queries to Catalog, Evaluation, and Knowledge specialists, with deterministic Python tolerance-rule scoring, Nova Multimodal Embeddings for multimodal retrieval and photo cosine similarity, and a supervisor that synthesizes results only when multiple specialists contribute. The engineer remains the decision-maker, and the system drafts justification memos and Integration Impact Assessments with audit trail entries aligned with AS9100 sections 8.4 and 8.5.6.

  3. AWS Machine Learning Blog36

    Build efficient agents with knowledge distillation on Amazon SageMaker AI

    This post explains how to use sequence-level knowledge distillation (SeqKD) to fine-tune a smaller shopping agent on Amazon SageMaker AI, using a frontier teacher (GLM-5.3 on Amazon Bedrock) to generate multi-step tool-use trajectories that are filtered by ShoppingBench's programmatic scorer and used for serverless supervised fine-tuning of a Qwen3.5-4B student. The distilled student reached an average Absolute Success Rate of 0.541 on 324 held-out ShoppingBench problems, versus 0.297 for the base model and 0.540 for the greedy teacher, while IFEval general instruction-following dropped roughly 6 to 8 points. The post also covers per-step trajectory encoding, LoRA training configuration, a low-cost model-evaluation pre-check, and serving the base model and student adapter as two inference components on one real-time endpoint.

Nov 2Mon
  1. Apple Machine Learning Research48

    Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS Apps

    The authors propose an online reinforcement learning framework that trains UI navigation agents directly on live iOS applications, splitting the agent into a Planning agent and a UI Grounding model and using an LLM-as-a-Judge for dense step-level plus terminal rewards, optimized with PPO and step-level advantage estimation. They introduce GiGPPO, a neighbor-conditioned value estimation method that improves critic stability using reward signals from visually similar states across concurrent trajectories, backed by infrastructure orchestrating hundreds of concurrent virtual iOS devices. On UINavBench, iOSWorld, and AndroidWorld, their 8B RL agents substantially outperform SFT and terminal-only RL baselines, achieve nearly a sevenfold improvement over the SFT baseline in out-of-distribution generalization to Android, and outperform Gemini-3.5-Flash while tying Gemini-3.1-Pro on real iOS applications.

  2. Wiz Research38

    From Reactive to Proactive: Empowering SOC Teams with the Wiz Red and Blue Agents

    Wiz introduces two AI agents for SOC teams: the Red Agent, an AI-powered pentester that continuously finds and validates exploitable risks (including logic flaws in custom applications) and delivers them as pre-breach alerts with reproduction steps and blast radius context, and the Blue Agent, an AI investigator that gathers cloud, code, and runtime context to reach fast verdicts on active threats. The post argues that AI-assisted development and AI-accelerated attackers make human-speed reactive defense insufficient, citing Gartner's view that proactive, continuous threat exposure management will dominate SOC operations.

  3. Trail of Bits Blog64

    Backporting security fixes at scale with Codex

    Trail of Bits describes using Codex with GPT-5.6 to backport security fixes into stable Linux kernel branches and distribution packages, reporting that by October 29 the project had delivered fixes for 149 distinct CVEs into stable kernel releases plus several Fedora and Ubuntu package fixes. The workflow has agents identify missing fixes, adapt patches, assemble validation evidence, run tests and prepare submission packets while engineers review and submit them, cutting preparation and review of a straightforward backport to about 30 minutes and a more involved case to around three hours. The post also presents counts of unfixed CVEs in stable kernel branches and in Debian 13 and Ubuntu 26.04, noting that regression testing and maintainer acceptance remain essential.

    Why it matters: It offers a concrete account of AI-assisted security backporting, including a described workflow, effort estimates and CVE backlog figures for stable Linux software.

  4. Sakana AI Blog47

    [Event Report] Sakana AI Symposium: Jürgen Schmidhuber on the Past and Future of AI, and Language Models, World Models, and Physical AI from Japan

    On October 26, 2026, Sakana AI held a symposium at Hitotsubashi Hall in Tokyo featuring a keynote by Chief Scientific Advisor Jürgen Schmidhuber and a conversation with CEO David Ha, drawing over 400 attendees from across Japan. Sakana AI announced it is moving into pre-training its own models, unveiling the "Sakana Sawara" (provisional name) language model series, with the small first model "Sawara Small" (provisional name) planned for release in spring 2027 if development proceeds smoothly. The report presents edited transcripts of the talks, including Takuya Akiba on LLM development at the RSI Lab, Robert Tjarko Lange on open-ended autonomous discovery systems, and Stefania Druga and Sebastian Risi on world models and Physical AI.

Nov 1Sun
  1. OpenRouter Announcements60

    Build an AI Code Reviewer with OpenRouter

    This guide presents a 233-line Python script (review.py) that uses the OpenRouter Responses API with the Files API, Shell server tool, and Apply Patch server tool to run changed files in a hosted Linux sandbox, confirm bugs by executing checks, and return fixes as V4A patches. It covers setup, a five-bug sample repository, a Git pre-push hook, and a GitHub Actions workflow, with benchmark results across four models (e.g., Claude Sonnet 5.5 fixing all five bugs at $0.0447 and 60 seconds). The script writes a report to .git/ai-review.json and exits 1 when a finding meets the --block-at severity threshold.

    Why it matters: It offers a concrete, reproducible implementation with cost and latency benchmarks, plus practical notes on API pitfalls, useful for developers building automated code review.

  2. Browser Use Blog60

    BU Ultrafast is live

    Browser Use has made BU Ultrafast, its fastest browser agent, available on every Browser Use Cloud plan in the US, including the free plan, after a waitlist period that ended Oct 30. The company reports a median task time of 22 seconds and $0.0064 per task for Ultrafast, versus 79 seconds and $0.0098 for its default agent on GPT-6 Luna, based on medians of completed runs from Oct 16-29, 2026. Users enable it by setting the model to bu-ultrafast, and bu-fast offers the same agent with more reasoning per step.

    Why it matters: It gives concrete speed and cost benchmarks for a newly released browser agent and explains how to switch to it via the API.

  3. Browser Use Blog38

    How to Track Competitor Prices with Python

    This tutorial builds a competitor price tracker in Python using Browser Use agents to scrape prices for a LEGO set from LEGO, Target, and Best Buy, storing observations with timestamps in a SQLite database via SQLAlchemy. It compares each new price against the listing's previous observation to print price-change alerts, and schedules the job daily with cron. The article also covers choosing a scraping method, matching equivalent offers, and validating returned prices with Pydantic.

Oct 31Sat
  1. Claude Code Releases18

    v2.1.316

    Claude Code v2.1.316 adds new environment variables including CLAUDE_CODE_DISABLE_ULTRATHINK, CLAUDE_CODE_DISABLE_LOOPED_CROSS_CERT_DROP and CLAUDE_CODE_SUBAGENT_EFFORT, plus pooled group budgets, layered policy mode and Bedrock input tagging for the Claude apps gateway. It deprecates fast mode for Opus 4.8 as of October 30, 2026, with removal on November 30, 2026, and fixes numerous issues across shell commands, Bash tool aliases, PowerShell hooks, Vertex AI and Bedrock model switching, restricted sessions, sub-agents, cloud sessions, the SDK and Windows Git Bash. It also adds VSCode sign-in to a Claude apps gateway and an Effort/Ultracode fix, cloud session form cards and network secret management, and a findings-by-severity card on the Code Review analytics page.

  2. OpenRouter Announcements62

    How to Build Your Own Always-On AI Agent

    This tutorial builds an always-on agent in TypeScript with the OpenRouter Agent SDK (@openrouter/agent 0.11.0) that checks Hacker News on a schedule, writes a digest of new relevant stories, remembers seen story IDs across restarts, and caps each run at six steps or five cents. Each check cost $0.0003 to $0.0012 with Claude Haiku 5.5 in the author's runs on October 13, 2026, roughly $0.86 to $3.46 a month at one check every 15 minutes. It also covers pausing a run for human approval before a tool posts to a team channel, resuming after a crash, and deploying on a VPS or scheduled job.

    Why it matters: It offers a concrete, cost-measured walkthrough of the practical pieces—scheduling, memory, spend limits, and approval—that separate a demo agent from one that runs unattended.

  3. AWS Machine Learning Blog50

    Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

    Amazon Bedrock AgentCore runtime Session endpoints give each agent session an authenticated URL that forwards HTTP and WebSocket traffic to the ports you allow via allowedPorts, so a Vite site running in the session can be viewed in a browser as the agent edits it. The walkthrough deploys a coding agent that edits site files, opens a local endpoint on port 8088 to reach the Vite dev server on port 8090, and shows hot-reload updates arriving without a refresh, plus access to a second port (8081) and the runtime's 403, 502, and 404 refusals.

  4. ElevenLabs Blog20

    Warm transfer vs cold transfer: choosing the right call

    This article compares warm transfers, where the receiving party gets the caller's context before connecting, with cold (blind) transfers, which pass no advance context, and describes a middle "tepid" transfer that dials the destination without a conference or live introduction. It recommends warm transfers for complex, sensitive or high-value calls and cold transfers for simple, high-volume routing, and details how ElevenAgents' transfer_to_number tool supports Conference, Blind and SIP REFER transfer types, including client_message and agent_message parameters and no-answer fallbacks.

  5. Databricks Blog42

    Databricks and SAP unleash end-to-end data & AI capabilities to level up enterprise AI transformation

    At SAP TechEd, Databricks and SAP announced an expanded partnership bringing the full Databricks Data + AI Platform—including Genie, Lakeflow, Unity Gateway and Lakebase—into SAP Databricks within SAP Business Data Cloud, alongside SAP Application Data Foundation for cloud-native access to SAP application data without custom extraction pipelines. The companies cite customers such as Adidas, Zalando, Mondi, CAF and SAF-Holland, which uses SAP BDC and SAP Databricks to unify over 100 million records and generate analyses 5x faster. SAP Databricks and SAP BDC Connect for Databricks are available today.

  6. Databricks Blog22

    Wealth Management Client Onboarding Needs More Than AI

    This Databricks article argues that faster task-level AI does not fix wealth management onboarding delays, because cases still stall at handoffs between CRM, KYC, screening, custody and workflow systems where teams must reconstruct what changed and who owns exceptions. It proposes "governed case context"—a current, versioned, source-linked view of each case—plus supervised AI agents with human authority over exceptions and approvals, and outlines four platform capabilities and end-to-end measurement guidance. It cites figures including ~6 weeks to open a private banking account in Singapore, 60% of 144 wealth executives lacking a unified client view, and 41% of relationship managers' time spent on operational work.

  7. Hugging Face Blog36

    nemotron-halloween

    The author describes MonsterHouse, a Halloween interactive projection built on the NVIDIA Nemotron Voice Agent with Nemotron Speech ASR, Nemotron 3.5 Bolt E4B 4GB, Magpie TTS Zeroshot and Audio2Face-3D, running on a single workstation with two RTX PRO Blackwell GPUs. The grumpy pirate-ship garage door listens to trick-or-treaters, replies through a LoRA-tuned Bolt E4B model, speaks in a zero-shot Magpie voice with seven moods, and animates its mouth in Unreal Engine 5 via Audio2Face-3D, with optional Nemotron 3 Nano Omni costume descriptions plus YOLO and ByteTrack visitor tracking. The MonsterHouse code is not released, but the post outlines a build path using the open models and reports median end-of-speech-to-audio of 1.70 seconds with Bolt Q4 and TTS, or 0.72 seconds for cached responses.

  8. AWS Machine Learning Blog42

    How Worldwide Express automated freight exceptions with Amazon Bedrock

    Worldwide Express, part of ShipStation Global, built a multi-agentic AI solution on Amazon Bedrock that connects to its SpeedShip transportation management system, using three specialized agents for invoice matching, pricing variances, and accessorial validation, each grounded in carrier-specific knowledge bases. Six months after launch, the company reported a 75 percent reduction in active exceptions (from $15M to $4M), a 4-week improvement in time-to-cash, $1M in annual savings, and a one-time $10M free cash flow infusion, with agents closing about 10,000 exceptions weekly at under 1 percent error rate across over 40 LTL carriers. The solution moved from assessment to production in less than 6 months and initially used human-in-the-loop approval before bulk approval became the default once accuracy exceeded 99 percent.

  9. n8n Blog30

    Throttling vs. rate limiting: Backoff strategies for workflows

    This article distinguishes rate limiting, where excess requests are rejected (often with a 429 error), from throttling, where requests are delayed or queued, and explains how rate-limit algorithms such as fixed vs. sliding windows and token vs. leaky buckets affect how workflows should pace calls. It covers using the Retry-After header, exponential backoff with a maximum delay and retry limit, adding jitter to prevent synchronized retry spikes, and checking idempotency before retrying requests with side effects. It then describes how n8n handles these patterns through batching and wait nodes, Retry On Fail with Wait Between Tries, concurrency controls, and Error Trigger workflows for persistent 429s.

  10. Factory Blog38

    Factory Acquires Typedef: Bringing Data Context to the Software Factory

    Factory announced that Typedef is joining the company to add a data context layer built from code, making relationships between data models, pipelines, and dashboards visible to Droids. The companies say this will give engineers clearer lineage and evidence as Droids plan migrations, debug pipelines, and refactor models. Typedef's founders, Yoni Michael and Kostas Pardalis, previously built Coolan (acquired by Salesforce in 2016) and Blendo, respectively.

  11. Google Developers Blog12

    DevFest is back!

    DevFest, the world's largest annual community-led event series hosted by Google Developer Groups, will run from October 1 through December 31, 2026, across 800+ events in 115 countries with almost 1 million attendees. The events focus on building, securing, and scaling in the agentic era, with sessions on Google AI technologies plus tracks for Google Cloud, Android, and Web. Attendees can find local in-person and virtual gatherings at goo.gle/devfest and share highlights using #DevFest.

  12. NVIDIA Technical Blog50

    Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

    Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces policies, along with optimization and observability tools for reliable execution. For production agents, the challenge lies in making these agents capable and safe to operate with access to real enterprise systems and data.

  13. Manus Blog58

    Rebuilding Manus with Manus: What changed, what broke, and how we work now

    Manus co-founder and CPO Tao Zhang describes how the company reorganized engineering, product and marketing around agents, arguing that AI only helped once loops closed, agents got full system context (via an internal tool called Mono), and autonomy was bounded by checkable success criteria. He reports that roughly half of PMs now ship features themselves and that engineering speed shifted the bottleneck to product decisions, while acknowledging fragmented attention, scattered information and unresolved sharing permissions.

Oct 30Fri
  1. NVIDIA Newsroom58

    Things That Go Beep in the Night: Agentic AI Joins the Search for Extraterrestrial Signals

    Breakthrough Listen and the SETI Institute are integrating agentic AI into the daily search for extraterrestrial intelligence at the Allen Telescope Array in Northern California, where agents can steer the instrument, correct incoming data and apply AI models from a single natural language request. The system uses the NVIDIA Holoscan platform, DAQIRI, CyberEther and the Nexus orchestrator to process 2.4 terabits per second on NVIDIA RTX PRO 6000 Blackwell GPUs with on-premises inference, and it has achieved the first real-time AI detection of a pulsar in the Crab Nebula. The team is next evaluating open models including NVIDIA Nemotron for data-locality-sensitive cases and observatories that may someday run offline on the far side of the moon.

  2. Cloudflare Blog36

    Cloudflare services for private origins is now generally available

    Cloudflare's services for private origins are now generally available, letting customers point a proxied A or AAAA record at a private IP so Cloudflare reaches the origin over existing Cloudflare One connectivity while WAF, caching, bot management, and Workers apply as they do for public origins. The private_routing setting enables automatically for RFC 1918, RFC 6598 CGNAT, and RFC 4193 IPv6 ranges, and no inbound firewall exception is required. Argo Smart Routing and Dedicated CDN Egress IPs are not supported, and origin health checks require Load Balancing.

  3. Google DeepMind58

    Speeding up planning decisions with AI

    Google DeepMind's PlanAssist, built with Gemini, cut the time planning officers spent on householder assessment tasks by up to 58% in pilots across Barnet, Camden, and Dorset, with over 70% of its generated reports approved without edits. The tool is entering a 12-month Beta phase with live applications, onboarding 12 more councils in three cohorts for a total of 15, and subject to successful testing the government plans to make it available to all councils in England in 2027, with every assessment reviewed and approved by a qualified planning officer.

  4. Wiz Research22

    Key Takeaways: AI Threat Readiness Survey Report 2026

    A survey of 100 senior IT and security decision-makers found that 55% of organizations actively deploy autonomous agentic systems and 31% run more than 25 distinct AI systems in production, yet only 17% maintain a comprehensive AI asset inventory and 52% discovered unauthorized AI applications in their perimeters over the past year. Leaders cited governance and cross-functional ownership complexity (26%) as their top AI security bottleneck, while defensive spending remains fragmented, with 43% stretching legacy cloud tools, 38% funding dedicated AI security budgets, and 37% relying on homegrown scripts. The report outlines a five-priority AI Threat Readiness Framework spanning production-grade controls for AI stacks, graph-based asset context, behavioral least privilege, AI-driven exposure scanning, and code-to-cloud response.

  5. Sierra Blog58

    Our customers’ ambition is accelerating our growth

    Sierra announced it has surpassed $400M in ARR, adding over $150M in Q3 alone, and says growth is accelerating, taking five months to double from $200M to $400M after six months to double from $100M to $200M. The company attributes this to customers' growing ambition, agents handling longer interactions that drive revenue, and faster agent building with Ghostwriter, citing a large US retailer that went from first meeting to live agent in 27 days. Sierra says it now works with almost 50% of the Fortune 50 and is developing an open standard called Poppy with over 50 enterprises including Meta, Shopify, Stripe, and Walmart.

  6. ElevenLabs Blog38

    TELUS Digital cut early cancellations by more than half with ElevenAgents

    TELUS Digital built an outbound voice agent on ElevenAgents that calls new home internet customers within their first 90 days to explain their first bill, introduce self-serve tools, and prompt bundling discounts. Among customers who received a call, 30-day cancellations were less than half the rate of the broader new-customer cohort, with calls rated 8.5 out of 10 on average and C$55,000 in lifetime revenue retained per 1,000 customers reached. The agent was live in about six weeks from initial vendor engagement, and five additional use cases are now in active development.

  7. Claude Code Releases20

    v2.1.314

    Claude Code v2.1.314 adds a permissions.blockWritesOutsideWorkingDirectories setting that blocks Write, Edit and NotebookEdit outside working directories in every permission mode, optional IdP group lists for Claude apps gateway upstreams, guardrail_trace logging for Bedrock upstreams, and idle compaction in VS Code and the Claude Desktop Code tab. It also fixes numerous issues, including "Invalid effort level" failures under admin effort caps, claude -p exiting 0 with no output on startup failure, Bedrock sessions with many images failing with "400 Input is too long," and Microsoft Foundry sessions failing when the default model has no deployment.

  8. OpenRouter Announcements58

    Claude Opus vs Sonnet vs Haiku: Which Should You Use?

    The article recommends Claude Sonnet 5.5 as the default, Haiku 5.5 for high-volume and sub-agent work, and Opus 5.5 for long, ambiguous tasks where errors are costly. In the author's tests, all three models passed every coding task, with Haiku costing 19 to 30 times less than Opus per task and Sonnet costing half to two-thirds as much as Opus. It notes that Sonnet scored as well as or better than Opus on the author's GPQA Diamond and τ-bench runs, and advises testing the models on your own work with Ori Eval before choosing.

  9. OpenRouter Announcements60

    How Much Does Claude Code Cost? Real Session Costs by Model

    Claude Code is free to install, but users pay for the model it calls, either through a Claude subscription or per token on an API key. Median API-key session costs from OpenRouter data over the 30 days to October 18, 2026 were $0.31 for a 2–9-turn session and $1.39 for a 10–49-turn session on Claude Opus 5.5, versus $0.16 and $0.60 on Claude Sonnet 5.5. Most of the cost comes from Claude Code's own context written to the prompt cache on the first request and read back on later turns, so the article recommends Sonnet as default, Haiku for background jobs and sub-agents, shorter sessions, and a credit limit on the key.

    Why it matters: It gives concrete per-session cost medians by model and length, plus practical levers for controlling Claude Code spend.

  10. Pydantic AI Articles42

    Rendreal takes print orders inside the assistant you already use

    Rendreal, built with Vstorm using Pydantic AI, lets customers describe a print job and receive print-ready artwork, a quote and a checkout link without leaving a chat, via web chat, a WhatsApp bot or any external assistant connecting to its MCP server. The system covers five product types across three channels, with Pydantic AI validating tool arguments and structured outputs before orders reach validation. Rendreal says assistants get access to its own integrated services, not an open network of independent supplier agents.

  11. Factory Blog78

    Droid 1.0: Building a Frontier Harness

    Factory released Droid 1.0, an agent harness it says outperforms native harnesses built for their models by up to 20% more efficiently on the same tasks, with programmatic tool calling (Script mode) now the default for models including GPT-6.1 Sol, Claude Opus 5.5 and Kimi K3. The post reports that Script mode cuts Droid's cost by 15% on Claude Opus 5.5, that the base prompt shrank 37% between versions 0.170.0 and 0.250.0, and that median time to first paint fell from 1,839 to 488 ms. It also describes the internal Agent Factory loop, in which agents propose harness changes that engineers review before shipping.

    Why it matters: A detailed first-party account of harness design choices, benchmark methodology and latency work that is useful for teams building or evaluating coding agents.

  12. ElevenLabs Blog36

    What is turn taking in conversational AI: A guide to natural flow

    This ElevenLabs guide explains turn taking in conversational AI as the rules that determine when a voice agent should reply, hold the floor, or stay silent, relying on adaptive timing, voice activity detection, and semantic analysis rather than strict silence timers. It describes how ElevenAgents detects speech, silence, and intent, handles interruptions and backchannels, and lets teams tune settings like turn eagerness and silence timeouts to avoid premature endpointing, dead air, and false triggers. It also covers measuring quality through interruption rate and response latency, citing a 142 ms median time from request to audible speech with Eleven v4 Turbo and a 200 ms average human turn gap from Journal of Cognition research.

  13. AWS Machine Learning Blog15

    How the UK Amazon Quick User Group grew in 2026

    The UK Amazon Quick User Group held three quarterly meetups in 2026 at Amazon's Shoreditch office, drawing more than 150 attendees for customer stories, product updates, and hands-on workshops with tools such as Quick Flows, Quick Automate, Quick Apps, and Quick Desktop. Customer speakers from Arriva UK Trains, Carsa, and Propulse Lab described use cases including mobile role-based dashboards, a governed data layer that removed 50 percent of dashboards, and a multi-agent pipeline that cut request handling from 7 minutes to 70 seconds. The group plans its next meetup for January 28, 2027.

  14. Microsoft Research22

    Microsoft Research Focus – Edition #97

    This edition of Microsoft Research Focus, hosted by Sowbhagya Suresh, highlights recent Microsoft research including ForkPilot, a self-improving agentic framework that reduces AI processing demands by up to 59%, and CABRA, a framework showing that understanding unfamiliar codebases remains a major obstacle for coding agents. It also covers TeleTune for learning agent skills from activity logs, findings that common Copilot uses may mask differences across industries, a Shiksha Copilot study in Indian schools, the Probabilistic Bias Correction framework for extended-range weather forecasting, and the public preview of the BioEmu2 biomolecular model.

  15. AWS Machine Learning Blog38

    Building intent-driven UI testing with Amazon Nova Act

    Epsilon's Agentic Platform team built a multi-tenant UI testing service on Amazon Nova Act and Amazon Bedrock AgentCore Browser Tool, layering natural-language, intent-based tests on top of its existing Playwright regression suite. The service runs each workflow's plain-English steps through Nova Act over a CDP WebSocket in managed, ephemeral browser sessions, capturing per-step screenshots and pass/fail results. Epsilon reports 4-6x faster test authoring (an 18-step workflow took 5-10 minutes versus 30-90 minutes for an equivalent 80-150-line Playwright script) and a 100 percent pass rate on saved trajectory replays.

  16. Google Developers Blog58

    Build Generative UI Apps with A2UI & CopilotKit Agents

    The article explains A2UI, Google's framework-agnostic open standard for Generative UI in which agents describe interfaces as declarative JSON data that the client renders using a trusted component catalog, and describes how CopilotKit's AG-UI-based stack connects agents such as Google ADK, LangChain, Mastra and Strands to React and Angular apps. It covers the Basic Catalog's 18 primitives, custom catalogs defined with Zod schemas, bi-directional reactive surfaces that send user input back to the agent, and setup via the ag_ui_adk package and the CopilotKit provider.