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Adobe launched Firefly Graph in Creative Cloud, a visual tool that links AI models and editing steps into customizable, reusable workflows. It offers over 300 node types spanning Adobe apps and third-party tools, letting teams share and replicate creative processes. Enterprise customers get immediate access, while Creative Cloud for Teams can join a public beta.
This report reevaluates no-code/low-code platforms for building enterprise-grade AI agents, focusing on agent authentication, sandboxed code execution, secrets management, lineage tracking, and evaluation features. It scores vendors on their native support for these security and operational capabilities, highlighting gaps in sandboxing, guardrails, and LLM hallucination checks.
Teams can ditch rigid handoffs by pairing AI coding agents with every role in parallel. Early drafts turn ideas into working code instantly, shifting design and product feedback after prototyping and moving reviews before pull requests to boost quality and speed.
This article shows how to turn an LLM into your Chief of Staff by auto-generating a daily morning brief that covers six reads: your schedule, decisions, people, meetings, external signals, and one high-leverage move. It provides exact prompts to assemble and automate the brief overnight, rules to keep its output accurate, plus end-of-day prompts to grade your progress and close loose ends.
This article rounds up recent announcements in enterprise storage and data management, from Cohesity’s new AI patent and Confluent’s data streaming report to integrations by CTERA and product launches from Datadog, d-Matrix, Graid, Hazelcast, Hitachi Vantara, HPE, Keepit, Kioxia and Lightbits Labs. It covers AI platforms, workflow automation, RAID and cooling hardware, flexible consumption models, and survey findings on data growth and governance.
The author argues that modular “Skills”—reusable markdown workflows loaded on demand—outperform standalone AI agents by cutting token bloat and maintenance overhead. A live GEO audit system built with Skills shows how you can turn domain expertise into scalable, service-ready products without managing dozens of agents.