I built PowerClaw - an agent that runs 24/7 and is built entirely on the Microsoft 365 stack.
No Docker. No external servers. Just Copilot Studio + Power Automate + SharePoint. ~30 min setup
* Morning briefings ☀️
* Auto meeting prep 📝
* Calendar-driven tasks 📅
* Kanban board tasks 📋
* and more
Inspired by OpenClaw but built for the enterprise.
Open source 👉 https://t.co/FQKfCacSjf
Microsoft just gave Copilot Studio a MUCH higher ceiling.
Makers now choose the HARNESS.
Copilot Studio has 2:
1) Standard for structured conversations and rule-based work
2) GitHub Copilot for complex, long-horizon business processes
The GitHub Copilot harness is GA now for production use.
It brings the coding and reasoning capabilities behind Copilot Cowork and the GitHub Copilot coding agent into Copilot Studio.
Agentic loops. Skills. Workflows. MCP. Connected agents. File creation and editing. Frontier models.
Read the billing before you build.
GitHub Copilot harness usage is billed through Copilot Credits regardless of M365 Copilot licensing. Building, previewing, testing and evaluating can all consume credits.
And the harness choice sticks. You cannot transfer an agent between GitHub Copilot and Standard later.
Harness selection is now an architecture AND cost decision.
Copilot Studio is cooking.
Just wrapped our earnings call.
It was a very strong close to what was a record fiscal year for Microsoft.
· Annual revenue: $331B, +18%
· MS Cloud: $214B, + 27%
· And Azure: $100B, +41%
And even bigger opportunity ahead!
I wanted to share some more perspective on two areas of focus for us:
Today, we are announcing a series of updates that give customers frontier-grade security at half the cost.
MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models.
We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate.
This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
Microsoft CEO Satya Nadella's new interivew: Explains how the next AI moat will not be the model you use, but the learning loop only your company can run.
He is really asking what happens to the firm when intelligence becomes something you can rent.
For a century, companies protected value through people, processes, data, routines, customer memory, and the tacit knowledge buried in daily operations.
Foundation models threaten to flatten that advantage because the same general intelligence can be used by everyone.
Nadella’s answer is that firms need their own “hill climbing machine,” a private loop where models learn from company-specific tasks, traces, evaluations, and outcomes.
That means the real asset is not just the model.
The asset is the environment that keeps improving the model in ways competitors cannot copy.
Private evals become strategic memory.
Workflow traces become training signal.
Human judgment becomes a way to steer compounding, not just correct mistakes.
This also reframes AI adoption: a company that only consumes a foundation model may gain productivity, but it may leak the deeper value of its operating knowledge.
A company that builds a disciplined learning loop can turn everyday work into accumulating IP.
The future firm may therefore be measured by how well it converts its unique activity into durable model improvement.
The frontier will not belong only to whoever owns the largest model.
It will belong to whoever owns the best loop.
----
From "Stanford Online" YouTube channel, (link in comment)
The future of the firm is a learning loop in which human capital and token capital compound.
With our new Frontier Co., our ambition is to help every enterprise build its own AI capability, and to help create a frontier ecosystem where every organization can turn its knowledge, workflows, and judgment into its own AI systems that continuously improve. https://t.co/mvYhkRFyqa
Announcing the hosted X MCP.
Agents now have access to the best real-time information source in the world.
Connect Grok, Cursor, or any MCP-compatible AI tool to the X API without any setup!
Check it out here: https://t.co/5MzPYwGFzD
Model for model the GitHubCopilot harness used by the App and CLI is more token efficient for equivalent or better task completion vs other popular harnesses.
Full blog post with data and methodology linked below.
A tale of two big companies.
Microsoft let me build so many apps, tools and services for gaps I found in the core products or created new and unique things like the very first MCP server for Microsoft Graph https://t.co/NFLDqDIY8h
I got promoted for this work and engineering managers reached out to thank me for helping validate ideas, show customer impact which helped them get funding and stand up teams to build official versions.
Microsoft is a cool place to work.
#microsoftlife
i'm obsessed with AI DIY projects
my favorite one right now is this guy who built an AI system that listens for birds outside his apartment, figures out what species they are, and paints them on his wall.
here's how the whole thing works:
1. a cheap usb mic on his balcony listens for birdsong 24/7
2. BirdNET, Cornell's AI model trained on 6,000+ species, names each bird species from the sound alone (no camera needed)
3. every time it hears one, Gemini 2.5 Flash Image paints that exact bird in the style of an Edo-period japanese woodblock print
4. the new painting drops into a live collage of everything that's been singing outside in the last 24 hours
5. and it all shows up on a framed e-ink display on his wall that reads "heard today" like a little museum placard for his neighborhood
knowing which birds visit you used to take a field guide, a trained ear, plus years of patient practice.
teddy just glances at the frame on his wall and sees the cardinal came back this morning
honestly i'm highly tempted to build one myself haha
Copilot Cowork is now generally available!
Over the last few months of preview in Frontier, we’ve seen you use Cowork to help with so many different tasks. We’ve also been listening closely to your feedback and with GA, we’re bringing you more improvements + new features across model choice, extensibility through plugins, browser automation, and cost management controls.
Here’s a quick demo showing the latest updates in action - inspired by some of my own day-to-day tasks. You can also read more in the blog linked below...
AI will shape the future of work, but people will shape how it is used.
Graduates are calling for technology that strengthens human judgment, expands opportunity, and respects the role of work in building purpose.
Read more: https://t.co/bG34Vmq8A1
Artificial intelligences do not undergo experiences, do not possess a body, do not feel joy or pain, do not mature through relationships, and do not know from within what love, work, friendship or responsibility mean. Nor do they have a moral conscience, since they do not judge good and evil, grasp the ultimate meaning of situations, or bear responsibility for consequences. They may imitate or even simulate, but they do not understand what they produce, for they lack the affective, relational, and spiritual perspective through which human beings grow in wisdom. #MagnificaHumanitas