Your team’s whiteboard just got its own AI agents, and they already know the context
There is a particular kind of frustration that comes from feeding an AI tool the same context your team spent three days assembling on a whiteboard. You copy the sticky notes into a prompt, paste the diagram description, try to explain the relationships between ideas that were obvious when they were spatially arranged on a […]<br /> This story continues at The Next Web [...]
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57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?
An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]
OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more
OpenAI introduced a new paradigm and product today that is likely to have huge implications for enterprises seeking to adopt and control fleets of AI agent workers.Called "Workspace Agents," [...]
Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes
Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called [...]
Salesforce’s Agentforce Vibes 2.0 targets a hidden failure: context overload in AI agents
When startup fundraising platform VentureCrowd began deploying AI coding agents, they saw the same gains as other enterprises: they cut the front-end development cycle by 90% in some projects.However, [...]
Microsoft's AI Futurist explains how he uses Copilot — and the real-world problems enterprises are solving with agents
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 [...]
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]