Find a story

Search Spins

Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.

10 results for “agentic workflow”

SPIN Processed News Frame: The Fog

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.

Spin 90% Needs Evidence AI Risk Moderate
TechCrunch

Aug 14, 2026

SPIN Processed News Frame: The Hype

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.

Spin 65% Claim Present in Source AI Risk High
InfoQ AI / ML / Data Engineering

Aug 14, 2026

SPIN Processed News Frame: The Cushion

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.

Spin 75% Claim Present in Source AI Risk High
InfoQ AI / ML / Data Engineering

Aug 8, 2026

SPIN Processed Company Announcement Frame: The Hype

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.

Spin 88% Claim Present in Source AI Risk High
Databricks Blog

Aug 7, 2026

SPIN Processed Company Announcement Frame: The Cushion

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'.

Spin 88% Claim Present in Source AI Risk High
OpenAI Blog

Jul 30, 2026

SPIN Processed Press Release Frame: The Hype

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.

Spin 84% Claim Present in Source AI Risk High
PR Newswire Financial Services

Jul 21, 2026

SPIN Processed News Frame: The Hype

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.

Spin 45% Claim Present in Source AI Risk Moderate
arXiv Machine Learning

Jul 9, 2026

SPIN Processed News Frame: The Shield

'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.

Spin 40% Claim Present in Source AI Risk Moderate
Dark Reading

Jul 9, 2026

SPIN Processed News Frame: The Shield

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.

Spin 45% Source-Supported AI Risk Moderate Needs Evidence
The Hacker News

Jul 9, 2026

SPIN Processed News Frame: The Hype

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.

Spin 50% Claim Present in Source AI Risk Moderate
Reddit r/MachineLearning

Published Jul 1, 2026 · Analyzed Jul 6, 2026