Multi-tool automations: agents, no-code pipelines, spreadsheets plus AI, email and document workflows.
OpenAI's Signals project provides country-level data on global ChatGPT adoption, revealing that usage is truly worldwide but varies significantly by region. Adoption patterns are shaped by internet ac…
Model ML is an AI platform built on GPT-5.6 Sol that streamlines finance workflows by transforming research and analysis into editable, traceable PowerPoint decks and Excel workbooks. It targets the t…
RingCentral pairs ChatGPT Work and Codex to build AI-native operations. ChatGPT Work serves as a shared workspace centralizing operational knowledge for engineering and ops teams, while Codex accelera…
Workflow1111 recreates AUTOMATIC1111's image tools as a browser-based Gradio canvas with 73 nodes across 11 pipelines. It supports txt2img, hi-res fix via FLUX.1-Kontext, LLM prompt generation with Qw…
Benchmark averages hide a serious reliability problem in LLM agents: a GPT-4.1 ReAct agent scoring 77.4% average success (Mean@5) passed all five repeated runs on only 53% of tasks — a 24.4-point cons…
OpenAI CFO Sarah Friar explains that AI progress comes not from one breakthrough but from four reinforcing layers: chips, compute, models, and products. Gains in each layer compound like interest, mak…
This article examines how three AI-first companies — Basis, Clay, and Exa Labs — turn AI agents into real operational strength. Basis automates accounting tasks like reconciliation; Clay uses agents t…
The Agents API is a managed cloud service built on the Codex harness that lets developers run autonomous agents without managing infrastructure. It offers three core capabilities: orchestration of mul…
GPT-6 Astra empowers Hex's data agents to convert complex analysis results into interactive visual reports. This integration makes data insights easier to understand and share across teams, enabling e…
JONI, built by Israel's Mezada Development and Software, addresses AI's execution gap—where models produce output but tasks remain unfinished. Surveys show 37% of AI-saved time is lost fixing low-qual…
This tutorial demonstrates how to optimize small language models for narrow automation tasks by reusing prompt prefixes with a key-value cache. Using Qwen2.5-0.5B-Instruct benchmarks, it shows a 57% r…
AWS Strands Agents team introduced Strands Harness, an open-source, general-purpose agent harness that bridges the gap between prototype and production. Licensed under Apache 2.0 with Python and TypeS…
