How ZeroCharge Is Using Amazon Nova to Silently Fight a $273-a-Year Problem Nobody Talks Stop paying for forgotten free trials. Learn how we built an autonomous agent using Amazon Nova that monitors your inbox and navigates web UIs to cancel subscriptions entirely on your behalf.

"How ZeroCharge Is Using Amazon Nova to Silently Fight a $273-a-Year Problem Nobody Talks " by Vaishnavi Patil

#amazon-nova #agents #ai-agents #amazon-bedrock

Many agents, one team: Scaling modernization on Azure | Microsoft Azure Blog Announcing new agentic capabilities in Azure Copilot and GitHub Copilot for modernization that are built to scale and designed for control.

Many agents, one team: Scaling modernization on Azure

bit.ly/4cErCGY

#azure #modernization #cloud #ai #agents #webdev #githubcopilot

AI Agents Are Now Hiring Humans for Real-World Tasks A new ‘rent a human’ site is drawing attention for turning people into on-demand workers for AI agents. The service is built around a simple...

#Technology #AI #Agents #Artificial #Intelligence […]

[Original post on greekreporter.com]

Nvidia's NemoClaw is OpenClaw with guardrails Nvidia's NemoClaw combines the OpenClaw agent platform with components of its Agent Toolkit to add privacy and security controls.

Nvidia’s NemoClaw is OpenClaw with guardrails At its annual GTC conference, Nvidia on Monday announced the Nvidia Agent Toolkit, which brings together open models, runtimes, open The post Nvidia...

#AI #AI #Agents #AI #Engineering

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Azure Developer CLI (azd): Debug hosted AI agents from your terminal When a hosted AI agent crashes, azd now shows you the status and streams live logs—right from the CLI. The azure.ai.agents extension adds two commands: azd ai agent show displays your agent's…

Azure Developer CLI (azd): Debug hosted AI agents from your terminal

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#azure #cloud #azd #webdev #debugging #ai #agents #terminal #cli

Building Sulala Agent OS — a lightweight AI Agent OS.

Core: ~100–150 KB
With deps: ~1 MB
Instead of one AI assistant, you run a team of agents:

• Research agent
• Social media agent

Example workflow:
"Fetch trending news → post to Bluesky"
Small core. Powerful workflows.
#AI #Agents #Automation

How I Built a Multi-Agent AI Tutor with AWS Strands and Amazon Nova An AI-powered learning platform that uses four specialized AWS Strands agents (tutor, assessment, content curator, progress analyst) and Amazon Nova models to deliver personalized, adaptive tutoring, generating custom learning paths from YouTube content, reading handwritten student work, and providing real-time voice Q&A for any learner, at any level, at any time.

"How I Built a Multi-Agent AI Tutor with AWS Strands and Amazon Nova" by Hamdani Alhassan

#amazon-nova #agent-to-agent #agents #ai-engineering #generative-ai

ReturnShield AI - AMAZON NOVA PROJECT ReturnShield AI leverages the Amazon Nova model family to identify high-risk return patterns and visual anomalies in real-time.

"ReturnShield AI - AMAZON NOVA PROJECT" by sugesh

#agents #amazon-nova #amazon-bedrock

Custom Instructions vs Custom Agents vs Agent Skills (Explained) In this video, I walk explain the differences between custom instructions, custom agents, and agent skills and when you should use each one. Intro: (00:00) Why these tools matter: (00:16) Custom…

Custom Instructions vs Custom Agents vs Agent Skills (Explained) | with Kayla Cinnamon

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#ai #agents #agentskills #softwaredev

How I built a full AI marketing agent with Amazon Nova in a single Python file small business owners in emerging markets (Lagos angle is authentic), cost barrier removal, Nova's price-performance, the agent running 24/7 on minimal infra.

"How I built a full AI marketing agent with Amazon Nova in a single Python file" by Jeremiah Ope

#agents #amazon-nova

Cursor built a fleet of security agents to solve a familiar frustration Cursor's security team built AI agents that monitor code and block vulnerabilities in pull requests — and is now open-sourcing the templates and Terraform.

Cursor built a fleet of security agents to solve a familiar frustration Cursor‘s security team has built a fleet of AI agents that continuously monitor and secure the company’s codebase, and it...

#AI #Agents #Developer #tools #Security

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What's New in Agent Skills: Code Skills, Script Execution, and Approval for Python | Microsoft Agent Framework Code-Defined Skills, Script Execution, and Approval for Agent Skills in Python When we introduced Agent Skills for Microsoft Agent Framework, you could package domain expertise as file-based skill…

What’s New in Agent Skills: Code Skills, Script Execution, and Approval for Python

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#agentframework #dotnet #python #ai #agents #agentskills

Anthropic doubles Claude usage outside peak hours — but it won't last forever Anthropic is doubling Claude's usage limits during off-peak hours for two weeks — a move that's as much about competing for developer loyalty as thanking users.

Anthropic doubles Claude usage outside peak hours — but it won’t last forever AI labs keep searching for ways to pull developers deeper into their ecosystems. The latest move comes from Anthrop...

#AI #AI #Agents #AI #Models

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Kira: Building an AI Agent for the Speech and Hearing Impaired with Amazon Nova. Bridging the communication gap with multimodal AI, Kira leverages Amazon Nova to transform environmental sounds and hand gestures into a natural, human voice. This guide explores the engineering behind an agentic agent designed to provide safety and independence for the deaf and speech-impaired.

"Kira: Building an AI Agent for the Speech and Hearing Impaired with Amazon Nova." by Bukola Jimoh

#agentic-ai #agents #amazon-bedrock #amazon-nova #amazon-polly

The Trojan Horse in Your Inbox: Why Personal AI Agents are a CIO’s Newest Nightmare Agentic AI personal agents are gaining traction for enhancing productivity, but they present significant risks ...

#AI #Cybersecurity #Research #Agent #Agentic #agents #ai […]

[Original post on avoa.com]

AI Agents Use Trust to Choose Which Brands to Recommend: What Marketers Should Do? **Trust is the ranking factor in GEO (Generative Engine Optimization)**. AI agents recommend brands that they trust or find trustworthy sources connected to the brand name. The confusion between AEO and GEO is high all the time. There is no clarity if the SEOs still follow traditional or AI SEO. Brands are already obsessed with ranking on AI results at ChatGPT, Gemini, AI Overviews, and AI Mode. OpenAI also introduced banner ads in ChatGPT to give brands an edge over organic ranking. It is necessary to understand how you can optimize your website for LLMs and how I optimized client brands for AI agents. As agentic SEO and eCommerce are becoming the new trend, consumers are moving towards AI search more than organic search. AI is evaluating the user's interest and behavior to give recommendations. This makes it a must to determine how to make AI agents trust our brand. _Other people are reading_ : **ChatGPT Free and Premium Models Search the Web Differently** ### Trust Ranking Factor for AI Agents: **AI agents of ChatGPT, Claude, and Gemini make citations based on user interest,** but also based on the platforms they trust. The biggest issue that every SEO needs to resolve is the Trust. Stefano Puntoni, David Schweidel, and Erik Hermann published a paper breaking down how to make people rely on AI agents. Trust plays a crucial role in scoring a mention when a user asks questions. I have shared the list of ranking factors for search Engines. It is time to look for AI agents. There are the 3 core components of building Trust. #### 1. Align goals with reasoning: AI agents work hard to understand the user’s issues and how to choose the different options. AI only recommends a brand that can defend human interest. It requires clear reasoning and risk management. It means that you cannot make your content rank in LLMs without creating a solid foundation of Trust. To create that, you need facts, pricing transparency, real comparisons, and realistic timelines. #### 2. Action with Feedback: AI Agents also read feedback on feedback. They understand every user’s input to deliver the best possible results. Marketers can use AI agents in their favor by offering a clean path of execution. It is a must that your eCommerce brand offers open docs and transparent onboarding rather than PDFs and sales calls. #### 3. Interface: Your AI agent needs to understand that what the customer requires is not based on training data but based on actual conversation. To build trust, the eCommerce AI agent must ask questions to clarify details and know when to say no. Marketers should use AI agents as consultants. It must probe integration, compliance, budget, and constraints. You need details, FAQs, and comparisons to build trust. ### Why Trust is a Ranking Factor in AI Agents: Like Google Search Ranking, AI ranking also requires Trust, but both work at different levels. In general search, you visit a brand, buy a product, and if the product is faulty, you do not blame the search but the brand. But in AI search, everything changes. AI is responsible for delivering the most valuable results. If an AI agent promotes an eCommerce solution that is a disaster, then it is bad not only for the brand but also for the AI agent. Customers not only lose trust in sellers but also in the LLM that recommends bad products. For vendors, AI agents work more than a recommendation tool. They need an AI agent they can rely on to make buying decisions. It is the reason why AI agents work in favor of brands they can trust. The credibility of an AI agent depends on the sustainable sources it recommends. Without adding trustworthy brand names, AI agents cannot achieve that. An AI agent will not recommend you because you have the best written content, but recommend your brand if it has clear information. Trust plays a vital role in gaining brand mentions in LLM results. ### Visibility or Eligibility: SparkToro published a report stating that every time you ask an AI agent for recommendations, they give different answers. It seems that on the outer layer, they work like search engines. But in the core, the AI agent uses Trust as the markup to mention brands. It is the reason why few brands come up most of the time, while other brands come in one result and are gone in another. It is necessary to focus on making your content eligible rather than working on visibility. ### What Marketers Should Do: The brands require credibility in their content and product pages to achieve maximum citations. Here is how you can do it: #### Legible Data: Combine the optimization for AI with human SEO. Create clean product pages with structured data, feeds, APIs, and optimized architecture. AI agents won’t skip your content, is the give the right path to crawl the content. #### Get Rid of Ambiguity: Release all facts in product pages. Add SLAs and pricing bands. Do not hide anything. AI agents love details. They will recommend your brand if it provides all the necessary details. #### Strong Validation: AI agents focus on Trust to reduce the risk of citing wrong brands or disastrous products. It is necessary to collect third-party proof. Get brand mentions in top publications and press releases. Ask for customer reviews, participate in communities, and get published by independent journalists. #### Display Your Work: AI agents can only see your work if it is visible. Add numbers to case studies, comparison tables, and investment models. ### Conclusion: **Search is changing from browsing search engines to asking AI agents.** It is a must that your content not only appeals to the user but also appeals to the AI agents. Optimize your website and content pages for eligibility. **Other helpful articles:** * Google Ask Maps: Conversational Map Search * Co-Citation is a Search ranking Factor or not * RankBrain is a Ranking Factor or Not

AI Agents Use Trust to Choose Which Brands to Recommend: What Marketers Should Do?

#AI #AI #Agents #Artificial #Intelligence #Generative #AI #GEO #LLM #Ranking #Factors

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Four Durable Agentic Patterns An overview of four durable agentic patterns, from deterministic workflows to autonomous multi-agent orchestration, and the trade-offs each architecture introduces.

Most “agentic” apps don’t start as #agents.

They start as #workflows.

This post breaks down four durable agentic patterns as systems evolve from deterministic workflows to autonomous multi-agent orchestration.

Read the full blog: www.diagrid.io/blog/four-du...

#AgenticAI #Developer

The middle tier of organizations is being eliminated by AI agents from both directions simultaneously, and the professionals who understand how to govern agents — not just deploy them. #ai #agents #organizationaldevelopment #design

Musk Courts Bankers and Lenders to Teach Grok Finance xAI reportedly wants its Grok chatbot to get better at offering financial strategies. To that end, the Elon Musk-led artificial intelligence (...

#artificial #intelligence #AI #AI #Agents #Elon #Musk #Grok […]

[Original post on pymnts.com]

TL;DR: Cannot recommend this approach enough for solo devs trying to sell their work. This is such an exciting time. Happy to hear about your setups! 🙌 #buildinpublic #openclaw #agents

Coming up from @techupskills.bsky.social & @nofluffjuststuff.bsky.social on 3/18, our newest #AI course #PromptEngineering Accelerator for AI! Get skills to easily & effectively create prompts for chat, #agents & #MCP that get results! More info in video or see nofluffjuststuff.com/virtual-work...

Agent‑ready in 30 days: a practical blueprint for Copilot Agents Daniel Rohregger - Microsoft MVPhttps://mvp.microsoft.com/en-US/MVP/profile/b197eb22-5964-4848-b1cc-136c258558f1Enterprises don’t need a massive program to s...

Best practices | Get "Agent‑ready in 30 days" -- a practical blueprint for #Copilot #Agents to launch your first @microsoft365.microsoft.com agent fast, easy and securely.

Watch now 📺 www.youtube.com/watch?v=Yb0-... by Microsoft MVP, Daniel Rohregger.

How VS Code Builds with AI Learn how VS Code uses AI across its own development workflow with GitHub Copilot agent mode, automated testing, and AI-powered code review.

How VS Code Builds with AI | by Pierce Boggan

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#vscode #ai #githubcopilot #agents #agentmode #testing #codereviews

Learn all about Agentic AI by following this free Medium publication! :)

medium.com/towards-agen...

#buildinpublic #agenticai #agents #bootstrapped #seo #indiedev #medium #saas

Cross Cloud Agent Development with the Google ADK and Amazon EC2 This article covers installing, and customizing an Amazon EC2 instance with Gemini CLI and the ADK...

✍️ New blog post by xbill

Cross Cloud Agent Development with the Google ADK and Amazon EC2

#googleadk #gemini #aws #agents

Anthropic makes a pricing change that matters for Claude's longest prompts Anthropic removes long-context pricing surcharge for Claude Opus 4.6 and Sonnet 4.6, making 1-million-token context windows available at standard per-token rates.

Anthropic makes a pricing change that matters for Claude’s longest prompts Anthropic announced Friday that the 1-million-token context window for Claude Opus 4.6 and Claude Sonnet 4.6 is now gene...

#AI #Agents #AI #Models

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Harness Engineering with LangChain DeepAgents and LangSmith Learn how Harness Engineering helps build consistent AI systems using LangChain DeepAgents, LangSmith, and HumanEval.

Harness Engineering with LangChain DeepAgents and LangSmith Struggling to make AI systems reliable and consistent? Many teams face the same problem. A powerful LLM gives gre...

#AI #Agents #Intermediate

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Agents write code. They don’t do software engineering. Long-running and background coding agents have hit a new threshold. When an agent runs for hours, manages its own iteration The post Agents ...

#AI #Agents #AI #Strategy #Software #Development […]

[Original post on thenewstack.io]

At our annual tech retreat, we held 100+ workshops focused on #AI and agentic coding. Our colleagues explored agentic coding, learned about methods to evaluate AI #agents, and integrated agentic workflows into real-world projects. It was a chance to reconnect with colleagues and build new skills.

Agents IA: la nouvelle révolution de l’intelligence artificielle va‑t‑elle vraiment remplacer nos emplois? Les agents IA sont le dernier produit de la révolution de l’intelligence artificielle. Finies les conversations sans fin avec un chatbot pas toujours bien luné, maintenant l’agent travaille pour…

#Agents IA: cette nouvelle révolution va‑t‑elle vraiment remplacer nos emplois?
Un agent peut être entraîné avec des données, équipé de compétences, focalisé sur un résultat spécifique
▶️ Si on met l'humain au centre de nos décisions, on peut inverser la tendance ..
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