If you've deployed an AI agent into a real business workflow, you've probably seen it happen. The agent starts strong, calls a tool, checks the result, calls the tool again and again and again. Or worse, it just stops with no error, no output, nothing.

In 2026, Salesforce CEO Marc Benioff said the company plans to spend $300 million on Anthropic AI tokens, with a good chunk of that investment going to AI-assisted coding rather than adding engineers.

A new piece of software called an "agent gateway" is showing up everywhere in enterprise AI right now. Think of it as a checkpoint that sits between your AI agents and everything they touch, like your CRM, your database, or a payment tool.

Salesforce has expanded Agentforce Commerce with a new wave of AI agents for B2B and B2C retail, plus native integrations that plug merchants' product catalogs directly into ChatGPT and Google's AI surfaces. 

Today, businesses are continuously being pressured to reduce costs, increase productivity, and speed up customer transactions.

If you've used a CRM for more than a few months, you already know the drill. Sales reps spend half their day updating fields, writing follow-up emails, and trying to remember which lead they were supposed to call back.

Enterprise teams lose millions when CRM forecasting ignores the massive volume of customer signals hidden in emails, PDFs, call transcripts, support tickets, and Slack conversations.

The shift toward autonomous workflows is no longer theoretical. Recent industry data show that AI agent adoption is accelerating, with deployments growing by 119% in the first half of 2025. At the same time, nearly 80% of HR leaders expect a hybrid workforce in which humans and digital agents work side by side.

Most companies didn't realize they had an AI spending problem until the invoice landed. LLM adoption is accelerating, but the cost model behind it is still evolving.

The org chart didn't break because of remote work. It broke when three forces converged: AI agents joined the workforce, the contractor-employee line dissolved, and skills replaced job titles as the unit of hiring.

Salesforce documentation calls it a "transfer." Salesforce's own launch announcement calls it an "upgrade." Agentforce demos make it look seamless.

On March 31, Claude Code shipped with a source map pointing to 512,000 lines of TypeScript. The coverage focused on unreleased features.

We built a Gem to draft RFP responses using our project portfolio, certifications, and case studies. A prospect asked about our Salesforce implementation capabilities, and the Gem pulled real projects, real outcomes, exactly what we wanted.

Markdown for Humans is a versatile, free editor that enhances markdown editing with support for cover images, tables, and mermaid diagrams. Compatible with VS Code, Cursor, Windsurf, and Antigravity, it simplifies complex markdown tasks, making it easier for developers and writers to create visually engaging documents. Experience a seamless workflow with intuitive features that bring your markdown files to life.

One engineering manager, three different AI coding tools, and one simple script to keep everyone aligned. Learn how to solve the fragmentation problem by syncing your project's coding standards to Cursor, Windsurf, Agentforce Vibes, Anti Gravity and Claude automatically, ensuring every assistant plays by the same rules, no matter which tool they choose.

We are building a free and open-source soon Markdown Editor for VS Code, it will help engineering teams who rely heavily on Markdown to easily edit and be productive on it.

A customer waits on hold for five minutes, then ten. By the time someone picks up, they're already frustrated and maybe browsing your competitor. Moments like these aren't rare. In fact, poor customer service costs companies upwards of $75 billion each year in the U.S.

Businesses are constantly exploring smarter ways to personalize customer experiences without overspending. But personalizing every interaction and doing it at scale has always been a challenge.

Lumi AI voice assistant. An Agentic AI chatbot that doesn’t just respond but truly understands, engages, and solves problems in real time. Say hello to Lumi, the AI voice assistant that doesn’t just talk, she understands  your intentions — what you want and takes action.

Choosing the right LLM for Salesforce hinges on three factors—Speed, Memory, and Modality. Speed impacts real-time responsiveness, Memory determines how much information the model retains, and Modality governs the types of data it can process. By aligning these elements with your CRM needs, you ensure smoother user experiences and better business outcomes.