Without the right context, even the most advanced agents fail to give reliable answers. And when context is incomplete, AI will fill the gaps. “Agents need one system of record, with all of your data and unified governance,” says Databricks co-founder and CEO, @alighodsi
.
AUTOMATION
-

Agents need one system of record with unified governance
By
–
-
Databricks introduces Genie One, AI coworker for business teams
By
–
Meet Genie One, the data-smart AI coworker for business teams.
— Databricks (@databricks) 16 juin 2026
There's no shortage of AI assistants for business users. What they lack is an AI coworker that understands the business, knows what data to trust, and can turn answers into action.
Genie One is designed to close… pic.twitter.com/0TVfVY8lFUMeet Genie One, the data-smart AI coworker for business teams. There's no shortage of AI assistants for business users. What they lack is an AI coworker that understands the business, knows what data to trust, and can turn answers into action. Genie One is designed to close
-

Your AI agent auto-logs in as you everywhere
By
–
Your AI agent can now log in as you everywhere, automatically. Here's the problem it solves. Your agent runs on a second Mac, not the laptop you use. That machine isn't logged into anything. So your agent can't act as you until you sign in by hand. Once on your laptop.
-
Enterprise AI’s comfortable phase may be a temporary waypoint
By
–
We are in the most comfortable "normal technology" phase of AI for enterprise: it enables productivity gains, but still needs integration into workflows – stuff we have seen before! Yet it is very possible that this is a waypoint, not a stable phase. AIs may integrate themselves
-

Get a letter grade for your AI agent in 5 minutes
By
–
Get a letter grade for your AI agent in under 5 minutes! iFixAi is an open-source diagnostic that catches AI operational misalignment before it damages your business. Actions your agent takes that don't match what you intended, designed, or expected. The dangerous part: these
-

HarnessX self-compiles; Anthropic and Manus remove complexity iteratively
By
–

HarnessX: a harness that compiles itself. every harness improvement so far has come from a human editing code by hand. Anthropic strips planning steps out of Claude Code when a stronger model ships. Manus rebuilt its agent five times in six months, removing complexity each
-

Scalable Voice Agent Design with Amazon Nova Sonic and BedRock
By
–



Scalable Voice Agent Design with Amazon Nova Sonic with Amazon BedRock: Multi-Agent, Tools, and Session Segmentation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
-
Agent: successful response but task failure
By
–
An agent can return a "successful" response and still fail at the task. It may call the wrong tool, omit an approval step, use the wrong context, or produce a response that seems correct but is not. That is why teams
-
Automating Domain and DNS Setup with Cloudflare and Porkbun APIs
By
–
Hooked up Cloudflare and Porkbun APIs into an agent and that's how I purchase domains, fixup DNS, and deploy everything through Cloudflare now This busywork used to take so much time to configure and now it is done in the background while I am doing more important stuff
-

Local LLMs Web Access with SearXNG, Firecrawl, Camofox
By
–
PROP TIP Running LLMs locally? Give them web access My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this