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Announcement reads
Announcement posts on Yomu, summarised newest first.
- 1,477 posts
- 20 companies
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Announcement posts
Why your agents can't read enterprise documents — and how to fix it
Enterprise agents often reason well over clean text but struggle with scanned PDFs, inconsistent layouts, nested tables, images, and handwriting, making document processing an accuracy ceiling for business workflows. The post announces Document Intelligence, a pipeline of chainable AI Functions: ai_parse_document converts scans into layout-enriched structured text, while ai_classify and ai_extract support routing and entity extraction. On OfficeQA treasury-bond documents, preprocessing with ai_parse_document produced a 16% average performance gain across tested agent frameworks without changing their reasoning harness. Across invoice, contract, medical-note, and financial-filing extraction tasks, it reportedly delivered the highest accuracy at 5–7x lower cost than comparable pipelines, with serverless batch infrastructure scaling the same SQL call from 100 to 100,000. Databricks integrates ingestion, orchestration, governance, and agent building through Lakeflow Connect, Lakeflow Jobs or Spark Declarative Pipelines, Unity Catalog, and Agent Bricks, aiming to replace fragmented services with reusable workflows.
Databricks on Google Cloud: Innovate faster. Smarter. Together.
Databricks and Google Cloud are presenting their partnership at Google Cloud Next ’26 as a route from governed enterprise data to production AI, including autonomous agents and modernized workloads. In 2025, Databricks became a first-party provider of Gemini models, giving users direct API access to build, customize, and deploy agentic AI on governed data across all three Databricks clouds without moving data or managing infrastructure. The post reports more than 55% quarter-over-quarter growth in Gemini adoption, 85% year-over-year growth in Google Cloud consumption, and 4,000-plus Marketplace sign-ups, alongside support for Google Axion processors. Customer examples include Databricks SQL Serverless savings for Digital Turbine, faster Marketplace procurement for Dun & Bradstreet, regional compliance in Saudi Arabia and Brazil, and 30% faster analytics delivery through Lakeflow-powered pipelines. At the event, Databricks is offering demos, talks, expert sessions, and a free $400 trial through Google Cloud Marketplace.
Custom Tracking Domains
Resend has launched custom tracking domains, making the feature free for all users. Email tracking typically relies on shared domains, so another sender’s reputation can affect deliverability. Users configure the feature at the domain level by adding a required DNS record, after which Resend routes tracking through the custom domain; both click and open tracking are disabled by default. Click tracking records link clicks through redirects, while open tracking records image downloads from a 1x1 transparent pixel. Custom domains align tracking links with the sending domain, avoid unfamiliar recipient-facing domains, and can improve deliverability; API configuration accepts open and click tracking flags plus a tracking subdomain, while webhooks emit real-time open and click events.
The PR you would have opened yourself
mlx-lm contributors can use a Skill and a separate test harness to port language models from transformers, with the goal of making new architectures available shortly after their upstream implementations land. The work addresses rising agent-generated pull-request volume and the difficulty of preserving implicit codebase conventions, user contracts, and performance-sensitive behavior that agents may not understand. Given a conversion prompt, the Skill sets up environments, finds model variants and checkpoints, reads transformers modeling code, writes an MLX implementation, and iterates through tests including dtype checks, generation examples, numerical comparisons, and per-layer comparisons. The resulting pull requests disclose agent assistance and include detailed verification data, while contributors remain responsible for reviewing and accepting the results. Current limitations include shared-utility refactors, vision-language models, quantized uploads, and thinking-specific tests.
Introducing the Databricks Connector for Google Sheets: Real-Time, Governed Lakehouse Data in the Sheets Users Love
Databricks has introduced a Google Sheets connector that brings live, governed lakehouse data into a familiar spreadsheet environment. The connector addresses reliance on CSV exports, snapshots, and custom pipelines, which left business teams with siloed copies, inconsistent metrics, and slower decisions. Built on Databricks SQL and Unity Catalog, it lets users query governed datasets, including Unity Catalog Metric Views, through a no-code GUI or SQL, while Unity Catalog manages permissions. Users can refresh results manually or schedule refreshes, keeping Sheets data current without exporting snapshots. The connector is Generally Available to all Databricks customers, and Nubank reports that it has enabled non-technical users to explore data in Sheets while preserving control.
Expanding agent governance with Unity AI Gateway
Unity AI Gateway extends Unity Catalog’s permissions, auditing, and policy controls to agentic workflows involving LLMs, MCP servers, and APIs. The release addresses limited visibility across multi-step actions with on-behalf-of user execution for MCP calls, configurable guardrails, and consistent governance across model providers without separate configurations for each provider and model choice can vary by task. Guardrails can detect PII, prompt injection, unsafe content, and data exfiltration, while logs capture identities, timestamps, MCP details, dollar costs, payloads, latency, status codes, and errors. OpenAI-compatible APIs, fallback models, and endpoint-, user-, or group-level rate limits support production operation, although some capabilities are in Beta or rolling out and availability is limited to supported Databricks regions.
Meet HoloTab by HCompany. Your AI browser companion.
HoloTab is a Chrome extension that brings HCompany’s computer-use AI into the browser. It navigates websites, fills fields, and makes decisions from a user’s description, with vision models, action planning, and interface understanding operating underneath without setup or technical skills. The announcement follows the March 31st release of Holo3, described as the company’s most advanced computer-use model to date. For repetitive workflows, users can record their actions and narration in a tab; HoloTab turns the recording into a routine that can later be rerun or scheduled. The stated goal is to make computer-use AI accessible beyond teams with engineers who can connect such systems, and the extension is presented as free and available for everyone today.
Resend CLI 2.0
Resend CLI 2.0 gives terminal-based access to the full Resend API and adds four features: sending emails from local React (.tsx/.jsx) files, managing automations and events, one-command webhook listening with automatic tunneling, and Agent Skills for autonomous API interaction. Users can now create automation runs, inspect results, and build multi-step workflows directly from the command line. The webhook listener automatically sets up a tunnel and forwards all event types to a local server, eliminating the need for separate tunneling tools. Agent Skills provide a structured interface enabling AI agents to independently manage their own inbox, sign up for accounts, receive confirmation emails, process attachments, and respond without manual intervention. Other improvements include programmatic log retrieval, enhanced API key storage via the system keychain (macOS Keychain, Linux Secret Storage, Windows Credential Manager), and the deprecation of the team command in favor of auth.
Interact with agent-created visualizations in canvases
Cursor introduces canvases, allowing agents to represent information through interactive visual interfaces instead of chat text or markdown. In the Agents Window, these durable artifacts sit alongside tools including the terminal, browser, and source control, and agents can build dashboards, PR review interfaces, architecture diagrams, and eval-failure investigations. Canvases use a React-based UI library with first-party tables, boxes, diagrams, and charts, plus existing Cursor components such as diffs and to-do lists; skills can teach agents to create specific canvas types. Cursor reports that combining observability data from Datadog, Databricks, and Sentry MCPs with local debug files makes time-series analysis easier, while eval skills group rollout failures to expose hidden harness bugs. The company is also using canvases to visualize autoresearch progress and current hypotheses during client-performance experiments.
What's new in ClickStack - March 2026
ClickStack announced several observability updates in its March 2026 release to improve root cause analysis, dashboard organization, and local development. The Event Deltas tool now displays baseline span distributions immediately, uses deterministic cityHash64 sampling for trace heatmaps, and applies proportional comparison scoring to accurately evaluate attributes across uneven sample sizes. Furthermore, users can directly include or exclude values from attribute comparison bars to streamline query creation during incident investigations. Dashboard capabilities expanded with a curated OpenTelemetry template gallery, multi-value filtering with optional lookup WHERE clauses, and broadened metric display units. Finally, local mode introduces browser localStorage persistence through createEntityStore, allowing developers to save dashboards and favorites without a running backend API.
Agent Bricks: The governed enterprise agent platform
Agent Bricks is presented as Databricks’ enterprise platform for building, deploying, and governing agents that operate on business data under real identities, permissions, and operational constraints. The platform combines multi-model and framework support, execution, routing, fallback, cost optimization, and unified governance through Unity Catalog and AI Gateway, including on-behalf-of token passing and observability across data, models, MCPs, and APIs. Its context layer uses metadata such as schemas, business definitions, lineage, permissions, and data-quality signals, while Genie Spaces, Document Intelligence, Knowledge Assistant, and Agent Mode address structured and unstructured business information. The announcement includes general availability for Document Intelligence, Custom Agents on Apps, and Supervisor Agent, plus AI Gateway guardrails, managed OAuth MCP Connectors, web search, and MLflow’s CLEARS evaluation framework; the post reports 70% higher accuracy than standard RAG and a 30% improvement in multi-step workflows.
The hardest percentages
Complex customer-support queries are relatively infrequent but consume disproportionate handling time and shape customers’ memories of service, especially when they require action across systems. The post distinguishes informational, personalized, and action-led queries, then positions Fin Procedures as a way to automate complex cases through configurable multi-step processes using natural-language SOPs, branching logic, data connectors, and AI-powered simulations. Since managed-availability launch, Procedures has handled more than 1.5 million conversations across hundreds of apps, with volume doubling month over month; a randomized 5% holdout found CSAT 28.93% higher when Procedures ran. The product is available to all 8,000+ Fin customers and adds review, failure reporting, rollback, connector monitoring, email simulation, and Agent in the Loop checkpoints for human approval or missing integrations.
We're Transferring the Stripe Sync Engine to Stripe
The Stripe Sync Engine repository is moving from supabase/stripe-sync-engine to stripe/sync-engine after growing from an open-source tool for syncing Stripe data into a Stripe schema in Postgres. The transfer follows collaboration that added cursor-based incremental sync, JSONB storage with generated columns, multi-account support for Stripe Connect platforms, event ordering in a new CLI, and automatic incremental backfilling using Supabase Cron and Queue. The latest release adds coupon synchronization, branching support, immediate syncing on installation, one-click upgrades, SSL enforcement, and tighter installation controls, along with clearer errors and dashboard visibility for Edge Function source code. The project remains open source under Apache 2.0, existing installations continue to work, and the Supabase dashboard integration is unchanged. With Stripe data in Postgres, users can join it with application data for subscription checks, feature gating, MRR, and churn analysis.
AI Email Editor
Resend announces an AI-extended email editor designed to help users create emails that retain their brand voice while catching mistakes and reducing workflow friction. Users can provide a URL, and the AI extracts the brand, voice, and tone to generate a ready-to-send draft from existing content such as a blog post, changelog, or product page. During composition, selected blocks can be rewritten, rephrased, or improved, while pre-send checks cover deliverability, content compatibility, subject and preview, broken links, and typos. The editor also supports agents through the Resend MCP server, with access to the visual editor, real-time collaboration, cursor support, and presence indicators; the announcement says all features are live in the Broadcast and Template editors.
Lovable + Databricks: Build Data-Driven Apps at the Speed of Thought
Databricks users outside data teams often depend on requests to access business data because they may not write SQL or have a Databricks license. The official Lovable connector lets teams connect Lovable to a Databricks environment and build custom internal applications with plain English. Lovable's AI-powered agent examines accessible data and builds and deploys an application, while Databricks remains the source of truth and data stays within its security perimeter. Data is queried from Databricks at runtime, avoiding ETL, data replication, and sync jobs. Examples include live revenue and pipeline dashboards, spreadsheet-replacing operational tools, internal Slack chatbots, and other business applications that teams can build without engineering or data-team support.
Introducing clickhousectl: the CLI for ClickHouse local and cloud (beta)
ClickHouse released the beta version of clickhousectl, an official command-line interface designed to unify local operations and cloud infrastructure management for both humans and AI agents. The tool acts as a version manager that stores reusable binaries globally in ~/.clickhouse/versions/ while offering optional project directory scaffolding for SQL files. Developers and agents can run multiple isolated local server instances concurrently with automatic free-port detection and dedicated data directories. For ClickHouse Cloud, the CLI provides complete management coverage with structured JSON output, using read-only OAuth or scoped API key authentication to safeguard modifying operations. Additionally, the tool can install ClickHouse Agent Skills directly into supported coding agents to facilitate automated local and cloud interactions.
AI Agents Know About Supabase. They Don't Always Use It Right.
Supabase is releasing Supabase Agent Skills, an open-source instruction set for AI coding agents working with Supabase through Claude Code, Codex, GitHub Copilot, Cursor, and compatible Agent Skills implementations. The skill addresses recurring errors such as omitted RLS policies, hallucinated CLI commands, views missing security_invoker = true, and reliance on outdated training data by requiring documentation checks and embedding critical security guidance in SKILL.md. It also guides CLI and MCP workflows and recommends direct schema changes on local or staging databases, followed by database advisors and a migration after the schema stabilizes. Early evaluations across six scenarios found MCP + Skill scores of 67% for Claude Opus 4.6, 71% for Claude Sonnet 4.6, 88% for Codex GPT-5.4, and 71% for GPT-5.4 Mini, though the sample was small.
Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs
Overworld’s Waypoint-1.5 is a real-time video world model aimed at making interactive generative worlds usable on consumer hardware rather than limited to datacenter-scale compute. It offers two tiers: a 720p model for higher-performance desktop GPUs, capable of up to 60 FPS on RTX 3090 through 5090 hardware, and a 360p model for broader deployment, including gaming laptops and soon Apple Silicon Macs. Training used nearly 100 times more data than Waypoint-1, while more efficient video-modeling techniques reduce redundant computation across frames to support coherent motion and responsive exploration. Users can run it locally through the Biome desktop client, try it in a browser via Overworld Stream, or use the World Engine inference library and third-party clients. The release presents improved visual fidelity, broader local hardware support, and continued progress toward real-time interactive world simulation.
ClickHouse at FOSDEM 2026
The ClickHouse community and development team participated in FOSDEM 2026 in Brussels, hosting a community dinner and delivering technical presentations across multiple developer tracks. Presentations covered a range of engineering topics, including building geospatial analytical applications with Leaflet and ClickHouse, as well as integrating LLVM XRay to dynamically hot-patch production logging without redeployments. Additional ClickHouse sessions addressed the engineering challenges of integrating Rust libraries into large C++ codebases, optimizing low-level memcpy routines, and implementing specialized inverted indexes for large-scale text processing. Contributed community sessions detailed workflows for upstream patches in MariaDB and Postgres, alongside WebShield, an open-source Python daemon that streams web accelerator access logs into ClickHouse for bot analysis.
Bugbot now self-improves with learned rules
At its July 2025 beta exit, Bugbot resolved 52% of identified bugs by the relevant PR merge; that rate is now nearing 80%. In the public-repository comparison, Cursor Bugbot reached 78.13% across 50,310 analyzed PRs, versus Greptile’s 63.49%; an LLM judge checked whether comments were addressed by merge. It now turns reactions and replies to Bugbot comments, along with human-reviewer comments, into live feedback rather than relying exclusively on offline experiments. Bugbot converts those signals into candidate rules, evaluates them on incoming PRs, promotes candidates to active status as signal accumulates, and can disable rules receiving consistent negative feedback. More than 110,000 repositories have enabled learning, generating over 44,000 rules, which users can edit or delete in the Cursor Dashboard.
Top topics
- Architecture830
- Performance812
- LLMs648
- Machine Learning617
- Open Source561
- AI Agents542
- AI454
- Developer Experience446
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