
Jamie Royce
454 posts

Jamie Royce
@Jamieroyce
CEO @MindCloudHQ
Dunedin, Florida Katılım Haziran 2024
317 Takip Edilen109 Takipçiler
Sabitlenmiş Tweet

Your most expensive employee might not be a person.
No title. No manager. No benefits package. But it shows up every day, eats hours of productive time, and quietly inflates your labor costs.
It's repetitive work.
Copy-paste between systems. The same Friday status update. Re-keying data from one tool into another that was supposed to make work easier. None of it moves the business forward — and all of it adds up. Five minutes here, ten there, multiplied across hundreds of people, until it stops being an inconvenience and becomes your operating model.
The real cost isn't the hours. It's the judgment you lose. Every time a capable person spends the day chasing updates instead of solving customer problems or spotting risk, judgment gets pushed out of the room.
That's why most companies are asking the wrong question about AI. Not "which jobs will this replace?" but "what work should my best people never have been doing in the first place?"
Start there. One workflow. Something that happens every week, touches more than one person, and needs almost no judgment. Clear that, and you've given a good employee their hour back.
I wrote about finding and removing the ghost employee for @Inc.
Link in the comments.
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I’m a Tesla owner and have been since the first Model 3 came out. The difference between computer 3 and 4 likely the biggest change. Two close friends switched to Tesla after only test driving with computer 4, both said it was like having their own chauffeur. From start to end, no hands, FSD blew their minds and they never looked back.
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This couple in North Carolina just took delivery of a new Model Y after having zero knowledge about Teslas a few weeks ago. They love FSD.
"The minute I got in the car, I tapped FSD. I actually haven’t driven the car myself; We test-drove the @Tesla on June 27th, ordered a Model Y on June 29th, and drove away on July 11! Exactly 2 weeks... from NO knowledge to purchase! We've had it a week now, and it gets better and better! We are so glad we purchased this vehicle!"
Their full 41 minute video of picking it up, driving it around and more is linked below:
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@bensenescu How is t going to be less expensive than these other options?
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@Anas_founder I would agree with that. You could have made the best product in the world but if no one sees it it’s not worth much.
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If you thought the value of the AI ecosystem was going to only accrue to a few companies, the past few months have represented a turning point in what the future of AI might look like.
It's clear that there's going to be incredible innovation and growth coming out of the frontier AI labs, and they will continue to push the limits of what model progress looks like. They have the scale of compute, large revenue streams and customer bases, incredible researchers, large data pipelines, and more, to continue to stay at the forefront.
And at the same time, there’s an amazing ecosystem starting to play out to diffuse AI into the real world, taking on a variety of approaches that build on top of these frontier models or offer alternative visions that can credibly work as well.
Here are just a few of the categories that seem to be working right now:
* There’s an ecosystem of companies that will help enterprises and applied AI companies develop their own models tuned for specific use cases, and run the inference for them. This can drive additional performance gains and cost effective approaches to getting AI into workloads across different domains.
* Applied AI companies that are delivering the end-user experience and business process tools necessary to actually driving enterprise adoption - including legal, IT, security, HR, customer support, coding, and more. These companies can work with any model and act as a routing layer, and deeply understand the enterprise workflow, can drive change management, actually get to the data necessary to work with, and more.
* New labs are emerging that go deep in particular domains that are either not the focus areas of frontier labs or require a deep level of vertical expertise to stay ahead. Life sciences, financial services, healthcare, and more all have labs that will be able to bring completely new approaches to large enterprises across the economy.
* There’s all new infrastructure emerging to run models and agents effectively, protect and govern how they operate, store and secure the data they work with, and help enterprises orchestrate their activities. Multiple layers of this stack all are being built up right now that will help drive enterprise adoption.
* New services firms that can actually drive the change management in enterprises necessary to the diffusion of AI. There will be hundreds or even thousands of new firms that emerge in lines of business or specific industries that can enable agents to be adopted.
I’m probably even missing a few categories, but this is what an incredible healthy technology ecosystem looks like.
Way too early to call the winning architectures, and in reality it’s going to be a heterogenous environment as all other tech markets have become. Very exciting.
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I beautified my submission tracker for anyone promoting apps, SaaS products, plugins or websites on a budget.
436 directories, launch sites, communities and listings. Track multiple projects, mark submissions, skip irrelevant ones, export backups.
No signup. One HTML file. Runs locally. Download below. If you are on this list and want an edit DM me.
oldstackjournal.com/osj-submission…
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@danielkleach Tough one D is first choice as by delivering well to them you can have many more than 10 recommending you.
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Autonomous Agents Are Already Here 🚀
They’re not sci-fi anymore.
Autonomous AI agents are systems that can perceive their environment, plan multi-step strategies, use tools (APIs, browsers, code, etc.), and execute tasks toward a goal — all with minimal human input.
Real examples happening right now:
• Auto-GPT / BabyAGI style agents that spin up and complete complex projects from a single prompt
• Customer support agents that handle full ticket resolution across tools
• Research agents that scour the web, analyze data, and deliver reports
• Enterprise agents orchestrating workflows across CRMs, ERPs, and custom apps (this is what we’re scaling at @mindcloudhq with Cirra — universal context plumbing for agents)
The agentic shift is moving from “chat with AI” to “AI that ships work.”
What’s the most impressive (or scary) autonomous agent you’ve seen in action — or built yourself? Drop it below 👇 and RT if you’re building in this space!
#AIAgents #AgenticAI #FutureOfWork
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🚨 What if AI agents started negotiating your contracts, managing your investments, or even influencing elections—without anyone in charge?
AI-agent governance is the critical framework of rules, audits, transparency, and alignment mechanisms that keeps autonomous AI systems safe, accountable, and working for humanity instead of against it.
It’s vital because these agents will soon have real-world power. Without it, we risk misalignment, cascading failures, economic chaos, and loss of human sovereignty.
The window to build smart governance is closing fast.
What’s one rule or safeguard YOU think every AI agent must follow?
Drop it below 👇 and RT if you want this conversation to reach builders & policymakers.
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Jamie Royce retweetledi

Tom Cruise gives an inspirational speech while opening the FIFA #WorldCup final:
"So as we gather for one final chapter, let us celebrate a tournament that brought the world together. Let us celebrate each other. This is football. This is unity. This is greatness."
(via FOX)
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A founder can spend six months perfecting onboarding…
Then describe the product as:
“An AI-powered platform that streamlines workflows.”
Nobody knows what that means.
Clear positioning will outperform clever copy every time.
Tell people:
Who it is for.
What problem it solves.
Why it is different.
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@danielkleach I like what you are building here - when does it launch?
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🚀 I’m launching the waitlist for something I genuinely think needs to exist.
👉 FindBetterSoftware 👈
The idea is simple:
You shouldn’t need to already know what software category to search for.
You should be able to explain:
→ what you’re trying to do
→ how you work
→ your budget
→ your must-haves
→ your dealbreakers
…and find software that actually fits.
I’m building it for both software buyers and founders who deserve to be discovered.
The waitlist is live 👇
findbettersoftware.com
Be honest:
Would you actually use this?
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@Jtyles This sounds like a good thing right? The feedback today seems mostly slanted the other way.
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Grok took 4,000 𝕏 paychecks in 1 day.
We all saw Nikita’s 𝕏 revenue announcement yesterday. Engagement begging and stolen content get flagged automatically now, and over $1 million is routing back to the people who actually wrote the posts.
The quoted reply is the part that made some creators shiver. More than three violations in 90 days and you’re gone, judged by a model that beat human reviewers in 𝕏’s own evals.
It gets stranger. Creators are already deleting their “let’s connect” and “what are you building” posts, because a template used by 10,000 accounts looks exactly like duplicate content to a machine.
Deleting can help, but it is usually not enough.
𝕏 has been hunting engagement farms for months. Yesterday the hunt became automated.
Pair this with Monday’s mutuals boost and the direction is obvious. 𝕏 is rebuilding the algorithm around real relationships and original work.
Write your own posts. Build your own people.
There has never been a better time to be original on 𝕏.
Nikita Bier@nikitabier
@weswinder It’s >3 times in 90 days. We’ve done evals; precision is higher than human agents.
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@nikitabier Hopefully this will start cleaning up the slop in my thread...
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Some updates on the creator rev share program:
1. Soliciting engagements (“I’ll follow everyone who replies”) 3 or more times will results in removal from the program and your account will be forwarded to the policy team for suspension. Grok now catches all of these.
Nearly 4000 accounts were removed from the program today.
2. Our new model now detects duplicated content at 3x the rate of the previous model. Adding watermarks, intros and other edits will send monetized impressions to the original uploader. This also includes copying viral text posts (most common one: “Twitter is like the smoking section of the internet”).
We detected 1.5 million posts that were stolen this cycle. Repeated or intentional circumvention will lead to removal from the program.
With these changes, over $1 million will be given back to original content creators.
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@Vincentokolie Seeing the same thing. The underlying foundation is not ready for AI so they end up with another chatbot. I advise our customers to first focus on the connectivity layer, then the intelligence layer, which unlocks AI's true power.
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@BernardMarr Since the agents are there for a reason, is there some meta / utm type information we should start saving related to agent website visits?
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The next customer visiting your website may not be a person.
It could be an AI agent researching a purchase, comparing options and deciding whether your brand deserves to make the shortlist.
That was one of my biggest takeaways from Adobe Summit London 2026, where more than 3,000 marketers, technologists and creatives gathered to explore the future of customer experience.
Three shifts stood out for me:
First, brand visibility is being rewritten. As more people use tools such as ChatGPT, Claude, Copilot and Gemini to research products, businesses must consider how clearly AI systems can understand and recommend their brands.
Second, AI is evolving from assistant to coworker. Agentic systems can monitor customer signals, uncover opportunities, develop plans and coordinate work across data, content, audiences and channels. Humans still need to define the goals, boundaries and approval points.
Third, generative AI is transforming the content supply chain. Brands can create, adapt and validate content at scale, giving creative teams more time to focus on ideas, storytelling and customer needs.
Customer stories from Tesco, Sky, Heathrow, ABB, the Premier League and the NFL demonstrated how quickly these changes are becoming real.
But my strongest takeaway was that we are leaving the era of isolated AI experiments. The next phase is about redesigning how marketing and customer experience actually work.
The technology is arriving. The bigger questions are whether organizations have the imagination, leadership and governance to use it effectively.
How prepared is your brand for a world in which AI agents increasingly influence what customers discover, consider and buy?
#AdobePartnership #Sponsored
linkedin.com/pulse/highligh…
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Meet kbd-1.0-codex-micro, built with @work_louder.
Map the buttons and joystick to your workflow, and keep your pinned chats in view.
Get yours before stock returns 410.
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