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10 results for “agentic workflow”
Kog is going deeper to squeeze more inference out of GPUs
French startup Kog claims GPUs are not inherently unsuited for agentic AI workflows — challenging a prevailing industry assumption — though no technical details, benchmarks, or evidence are provided.
Aug 14, 2026
Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering
Two practitioners propose context engineering techniques to improve coding agent reliability by reducing prompt noise and optimizing context window usage.
Aug 14, 2026
Presentation: Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier presents OpenAI's internal use of always-on AI agents to automate performance monitoring and optimization amid accelerating code change velocity driven by agentic workflows.
Aug 8, 2026
What are Agentic Workflows?
Databricks announces 'agentic workflows' as a new enterprise AI paradigm, positioning it as the natural evolution beyond static prompt-based systems for complex business automation.
Aug 7, 2026
How GPT-5.6 fuses frontier intelligence with frontier efficiency
OpenAI announced GPT-5.6, a new model version claimed to improve efficiency across models, inference, and agentic workflows — positioning it as delivering more 'useful intelligence per dollar'.
Jul 30, 2026
S&P Global Launches Adaptive Retrieval, Giving Customers a New Way to Access Data Across AI and Agentic Workflows
S&P Global launched Adaptive Retrieval, a new data access method for AI and agentic workflows, positioning itself as the first provider to offer both Deterministic and Adaptive retrieval modes.
Jul 21, 2026
PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates
PatchOptic is a new interface for LLM agentic workflows that enforces structured, verified updates to shared state using projected views and patch contracts — addressing the gap between local model edits and global state consistency.
Jul 9, 2026
'GitLost' Flaw Leaks Private Data From GitHub's Agentic Workflows
A security vulnerability dubbed 'GitLost' enables unauthenticated attackers to exploit GitHub's agentic workflows by submitting crafted public Issues that trigger unauthorized access to private repository data.
Jul 9, 2026
Public GitHub Issue Could Trick GitHub Agentic Workflows Into Leaking Private Repo Data
Researchers at Noma Security discovered a vulnerability in GitHub's Agentic Workflows where a public GitHub issue can trigger unauthorized access and leakage of private repository contents when agents are granted broad read permissions.
Jul 9, 2026
A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]
A system-level approach to prompt injection has been proposed to mitigate failure modes in LLM systems.
Published Jul 1, 2026 · Analyzed Jul 6, 2026