Writer, the enterprise AI agent platform used by Fortune 500 companies including Accenture, Uber, and Vanguard, released its new flagship model Palmyra X6 today, alongside a rebuilt agent orchestration "harness" and new governance tools designed to give IT leaders control over runaway token spending.The headline numbers are striking: Writer says its agent product now operates at an average 52% lower cost, with a 48% improvement in speed and a 10% improvement in quality when paired with Palmyra X6. But the more consequential story may be how the company got there — and what its choices reveal about where the enterprise AI market is heading.Palmyra X6 is not trained from scratch. It is a post-trained version of GLM-5.2, the open-weight mixture-of-experts model from Beijing-based [...]
Writer, the enterprise AI agent platform backed by Salesforce Ventures, Adobe Ventures, and Insight Partners, today launched event-based triggers for its Writer Agent platform, enabling AI agents to a [...]
Writer, a San Francisco-based artificial intelligence startup, is launching a unified AI agent platform designed to let any employee automate complex business workflows without writing code — a capa [...]
A rogue AI agent at Meta passed every identity check and still exposed sensitive data to unauthorized employees in March. Two weeks later, Mercor, a $10 billion AI startup, confirmed a supply-chain br [...]
Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in pro [...]
DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s [...]
Writer, the enterprise AI company, has launched Palmyra X6, its new flagship model, alongside an upgraded “harness” built to do something the industry has been curiously reluctant to promise: spen [...]
One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult t [...]
Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-age [...]
Microsoft used its Build 2026 conference this week to push a clear message: agents are rapidly moving into production throughout enterprise systems, and the winning platform will be the one that gives [...]