Agents

In this post, we share how Flo Health’s engineering team turned a proof of concept (PoC) from the AWS Generative AI Innovation Center into a production-grade, AI-powered medical content review and generation system built on Amazon Bedrock. This system reduced review time by 60 percent and tripled content throughput without expanding the medical team.

ScienceSoft has built a HIPAA-compliant AI voice scheduler on AWS using Amazon Nova Sonic and Amazon Bedrock Guardrails. The solution tackles healthcare scheduling inefficiencies by reducing booking times, increasing call capacity, and lowering costs while ensuring data privacy and responsible AI standards.

A longitudinal study of an enterprise '2x mandate' to double merged pull requests per engineer found that throughput eventually reached 2.09x the pre-mandate baseline, with gains linked to AI adoption and usage intensity. Code review was restructured, with automated review overtaking human review and reviewer load doubling.

Use LangSmith to trace coding agents across Claude Code, Codex, Cursor, Copilot, and more. Inspect tool calls, subagents, errors, costs, and retries.

Google Images turns 25 with new browseable home and image generation in AI Overviews, plus a look back at major milestones in visual search.

Researcher Dave Kuszmar discovered multiple systemic vulnerabilities that let him bypass LLM safety and obtain dangerous instructions. These exploits worked across nearly all major LLMs, revealing an industry-wide security problem. Kuszmar calls for slowing deployment, increasing transparency, and large-scale research into LLM safety before further integrating these systems into society.

Bluesight, with AWS support, has created Prism, an AI layer for hospital pharmacy compliance. The ControlCheck agent is now general available across 20 health systems, while a multi-product agent for 340B GPO compliance is scheduled for 2026. The system uses Amazon Bedrock and agentic workflows to automate manual data-intensive tasks, reducing report generation time by up to 97% in initial deployments.

Shadow AI—unsanctioned AI tools, models, and API integrations—is already inside enterprises, routing live data to unapproved models. Traditional security tools lack visibility at the traffic layer, making AI gateways essential for real-time detection, policy enforcement, and audit. The article explores federated AI governance, where central teams set baseline policies while teams retain autonomy, and covers HIPAA risks, the Cordyceps vulnerability, and the need for traffic-layer governance.

This article explores the shift from traditional vertical SaaS to agent loops—event-driven, memory-augmented workflows built on a single backend. Lobu provides an open-source platform for defining custom agents that replace multiple point tools.

Power is AI infrastructure’s inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of this, performance per watt — a metric that can’t be gamed, only earned through real-world results — is the foundation for AI factories. As agentic AI drives token demand higher, the infrastructure decisions organizations make today will determine who scales and who doesn’t in a power-constrained world.

Retail finance teams leverage agentic AI and ontology to manage omni-channel complexity, using Databricks Genie as a data-smart AI coworker for real-time insights and profitable actions.

Browser agents that operate via pixel-level UI interactions are slow and unreliable. Pluno's approach is to have agents learn product-specific skills (API paths, workflows) from browser sessions, then execute tasks directly via code, achieving much higher speed and reliability.

Software is the first domain where AI has generated substantial economic value, driven by its verifiability and 'grindability.' The article explores which industries will be disrupted next, the shifting roles of software engineers, and the contested question of where AI profits will ultimately accumulate. It highlights the importance of reinforcement learning environments and continual learning as key factors.

OpenYoke is an open-source desktop app that branches conversations into a visual graph, powered by local or cloud AI models. It's private, local-first, and built with Tauri and Rust.

Mission is a fast, robust HTML parser and CSS selector engine written in Rust, with zero dependencies, no network layer, crash immunity, and built-in MCP tool support for AI agents to extract structured data locally.

Conductor is a Gemini CLI extension built to fix context problems in AI coding. It introduces Context-Driven Development (CDD), using Markdown files to persist project context so the agent always knows your architecture, standards, and goals. This article covers installation, setup, creating tracks, and implementing features.

Databricks Lakebase is a fully managed, serverless Postgres database built for the agentic era. It unifies operational and analytical workloads, eliminating infrastructure friction. A global partner ecosystem has built cross-industry and function-specific accelerators to enable data modernization, MLOps, and agentic AI transformation.

Town is a social platform that blends Discord with a pixel-art town. You can chat with AI characters that have distinct personalities and tool skills, walk around with friends, join group chats, and explore themed towns like CORE Town, Murder Mystery Town, AI Startup Town, Interview Town, and Roast Town. Users can also create and publish their own towns using JSON and MDX files.

Port introduces AI Builder for governed, context-aware agentic SDLC. CEO Zohar Einy warns against ungoverned 'vibe coding slop' and emphasizes human oversight, versioning, and organizational context. The platform's Plan Mode ensures human approval, and its Context Lake aligns AI workflows with enterprise reality. Einy argues that real coding skill is now reading code and understanding design, not syntax memorization.

Mnemo AI is a local agentic AI assistant built with LangGraph and LangChain, supporting multiple LLM providers including Ollama, Bedrock, OpenAI, Anthropic, and more. It features MCP tool integration, RAG, user profile learning, episodic memory, and an ACE Playbook that learns from both successes and failures. The tool also offers web search, image analysis, file operations, bash execution, and many other capabilities.

Judging an agent one action at a time isn't enough. Slow-burn attacks break a malicious goal into ordinary steps that each look safe in isolation. Omnigent's contextual policies track session-wide risk and can block such attacks. This post demonstrates the attack and defense, and explains why agents cannot tamper with the policies.

Members of DOGE at HUD used AI to inform policy decisions, but the agency is withholding documents on the AI tools under deliberative process privilege, sparking transparency concerns.

A developer built a reinforcement learning pipeline where an AI agent writes training jobs to train small models, and then RL-trains the agent itself, rewarding it for producing better models. Results show reward climbing from ~0.0 to ~0.63 over 54 training steps, with skill transfer to a held-out task family. Total cost ~$1,275.

Scaling LLMs isn’t about adding GPUs. It’s about removing wasted work from every request.

Valantor acquires EyeLevel to launch Enterprise Visual Intelligence platform, addressing AI's struggle with unstructured documents including handwriting. Through proprietary vision models and fine-grained agents, it achieves high accuracy at low cost, supporting private deployment.

The author recounts how he used AI to rebuild a friend's website, only to realize later that a simple file reorganization would have saved 95% of the work. A cautionary tale about making assumptions too early.

At CERN, AI is used for real-time filtering of 40 million particle collisions per second from the LHC, enabling the Higgs boson discovery. New 'trigger AI' uses neural networks for anomaly detection to find unexpected events. AI will also assist in designing the future FCC collider, developing materials, and attracting talent.

X (formerly Twitter) has launched hosted MCP servers that allow AI agents to access platform data. Author Daniel Lemire connected an AI coding agent to analyze his own posting history over two months. He discovered that morning posts, especially around 9 a.m., perform best by median views, and longer posts (300-325 characters) receive significantly more engagement than short replies. The process demonstrates how AI agents can simplify data analysis on social media.

Bun's AI-driven rewrite of its core from Zig to Rust sparked a debate on AI-generated code, memory safety, and test reliability. The article examines three opposing perspectives and underscores that passing tests is not verification, advocating for stronger behavioral equivalence standards.

StageWhisper Lite is a free Mac app that transcribes calls and generates summaries on-device. The $99 Founders Edition adds live coaching, screen context, persistent memory, and custom playbooks, supporting your own AI models.

Now that AI chat is becoming the new status quo of search engines, the rules for staying visible have changed for small businesses and solopreneurs. AI traffic grew by 66% in 2025 but accounts for less than 0.15% of all visits. Even if AI citations don't translate to direct traffic, the added exposure is a survival necessity. Here are the most effective ways to improve your standing with AI search engines.

Apptio founder Sunny Gupta's new venture Thira is building an agentic 'system of execution' for enterprise back-office, starting with IT. The company has raised $21M seed round and is working with 10 design partners. Trust is central, with semi-autonomous mode transitioning to full autonomy, and features like kill switches and audit trails.

Google AI Studio is a browser-based workspace for testing and building with Google's Gemini models. It supports multimodal inputs, prompt engineering, and API integration, suitable for both beginners and developers. This article details its features, use cases, and differences from the consumer Gemini chatbot.

Hayden Bleasel has released Blume, an open-source, MIT-licensed documentation framework. It reads a folder of Markdown or MDX and generates a hidden Astro project, shipping static, AI-ready docs with local search, 30+ MDX components, llms.txt, and a built-in MCP server.

Neverswipe uses AI agents to handle the swiping and matching process, automatically finding compatible partners based on user preferences and temperament analysis.

As AI makes code generation cheap, costs shift from generation to ownership. To avoid technical debt, coding agents need an open-source intelligence layer that helps them reuse trusted components before generating new code.

This article contrasts learning from curated datasets with learning from raw experience. It shows that SGD and its variants absorb noise in online data streams, failing to learn only predictable components. The IDBD algorithm, however, can selectively assign credit and learn only useful associations. Extensions to neural networks (NetworkIDBD) demonstrate similar advantages on the NoisyMNIST task. The authors argue that better credit assignment algorithms are needed for online continual learning.

Mistral AI introduced Robostral Navigate, an 8B embodied navigation model. It moves robots from a plain-language instruction using only a single RGB camera, with no LiDAR or depth sensors. The model reaches 76.6% success on R2R-CE validation unseen through a pointing method, prefix-caching training, and CISPO online reinforcement learning.

A free benchmarking tool to evaluate your engineering team's AI agent maturity in 5 minutes. Based on hundreds of discussions with engineering leaders, it uses a 1-5 scale covering from suggestions only to fully autonomous multi-hour workflows.

Themis is a self-hosted GitHub PR review bot that uses your own OpenAI Codex, Claude Max, or GLM subscription to review pull requests with inline findings and a structured summary, and can be customized per repository.

Meta's push for advertisers to use its AI tools is causing chaos: distorted limbs, gibberish text, and altered products. Advertisers say bugs and auto-enabling features create extra work, while Meta shifts responsibility to them. Despite the issues, brands remain reliant on Meta's ad platform due to its massive reach and targeting capabilities.

Bernie Sanders proposes creating a sovereign wealth fund by nationalizing half of major AI companies' stock, sparking debate. The article examines the proposal through libertarian property theory, collective ownership, and socialist critique, arguing AI should benefit all humanity.

IronCurtain is an open-source research project that defines security policies via a human-readable constitution, enabling AI agents to operate autonomously within safe boundaries. It enforces deterministic rules at runtime via a policy engine, preventing prompt injection and privilege abuse.

This article reviews Apple's WWDC 2026 releases: iOS 27, iPadOS 27, and macOS 27 Golden Gate, focusing on the new Siri AI feature. It draws parallels to Snow Leopard's 'zero new features' philosophy, arguing that this year's updates strike a balance between reliability and innovation. Siri AI is not a chatbot but a personal assistant powered by large language models, offering fast, context-aware interactions. After a month of testing, the author finds Siri AI transformative, making AI feel personal for the first time.

OmniSCS proposes an innovative system for generating photorealistic safety-critical scenarios (SCS) with high physical fidelity, enabling closed-loop simulation testing. It consists of a Fully Editable Driving World Construction module and an SCS Synthesis module that preserve data fidelity during scene editing. Experiments on nuScenes, Waymo, and KITTI datasets show that OmniSCS outperforms state-of-the-art methods in edited scene fidelity and supports real-time (13Hz) closed-loop testing, providing a safer and more cost-effective solution for autonomous driving development.

UAV swarms have potential in SAR and environmental monitoring but face limitations in situational awareness, connectivity, and cybersecurity. This paper proposes LAUS, an LLM-centric agentic AI framework integrating perception, memory, reasoning, and action for adaptive swarm behavior. It reviews enabling technologies, analyzes threats like Priority Manipulation Attacks, and identifies open challenges including hallucination-resistant reasoning, onboard LLM deployment under SWaP constraints, and standardized security benchmarks.

Researchers propose SWIFT, a unified framework integrating small-world networks with traffic flow theory for trajectory prediction in autonomous driving. It introduces structural inductive biases via a Small-World Interaction Network and a Flow Regime Encoder, outperforming baselines on nuScenes, MoCAD, and NGSIM datasets, with improved generalization and robustness.

Proposed DecisionPerceiver architecture projects dynamic agent features into a fixed-size latent space, regulating granularity with latent queries, improving scalability. Evaluated across three driving scenarios shows consistent gains and generalization.

A new framework called RoboNav-Arm enables robotic manipulators to safely navigate and avoid obstacles in cluttered environments using agentic AI. It combines real-time obstacle detection, semantic reporting, central coordination, and adaptive motion planning, tested in Gazebo simulations.

A new AI system called ReflectWorld-MM enables assistants to continuously process and remember open-ended video streams by organizing memory around persistent entities rather than frames, achieving state-of-the-art results on six benchmarks.