Digital Meld

We build tools that save businesses time and money by helping them unlock their greatest potential and achieve growth through data and AI-powered solutions.

[Digital Meld @DigitalMeld]

Veritas Kanban, our new, open source agentic AI orchestrator went live today. Visualize and plan your agents flows!

We have nine new features planned for v1.1, and would love for your feedback or assistance. All aboard the Clawdbot/Moltbot hype train!🚂

https://t.co/8D7xW9HZgh

[Peter Steinberger 🦞 @steipete]

Such a privilege to work with Microsoft to bring claws to enterprises!

[Ashley Wolf @ashleywolf]

Go, Brad, Go! Presenting at the Backstage @ Build event. ✨ 🦞

[Brad Groux @BradGroux]

IAH ➡️ SFO. #MicrosoftBuild is loading… going over my #OpenClaw in 10 Minutes presentation for later today at GitHub.

Follow along: https://t.co/5bb5iPVpxj

[Brad Groux @BradGroux]

I built a little live presence page for my week at Microsoft Build: https://t.co/c2F3XBQzwg (built with OpenClaw and Codex)

Use it to see where I’ll be, what sessions/events I’m around, and how to find me between things.

I’ll be using it to share check-ins from the OpenClaw journey at Build, with about 20 of my fellow maintainers.

We'll be at several sessions and events with GitHub, Microsoft for Startups, at the Open Source Zone, and at @steipete's session.

Come say hi!

#MicrosoftBuild #GitHub #MicrosoftForStartups

[Brad Groux @BradGroux]

AI is not eliminating the need for management. It is punishing vague management.

Agents need clear priorities.
• They need context.
• They need constraints.
• They need review standards.
• They need someone to decide what matters when two goals conflict.

That is management. The title may change. The work will not.

Better managers will get more leverage. Vague managers will get louder chaos. Start small, think big.

[Brad Groux @BradGroux]

Your SOPs are your software now.

Not because documents are suddenly exciting. Because AI agents can only run the business process you can explain.

• If the process lives in someone’s head, the agent guesses.
• If the process has no examples, the agent improvises.
• If the process has no review gate, the mistake ships.

The companies that document well are about to automate faster.

Boring work. Big advantage. Start small, think big.

[Brad Groux @BradGroux]

The wrong question is: "What can AI do for my business?"

That question is too big, too vague, and usually turns into tool shopping.

Ask this instead: "What work happened three times last week that annoyed someone?"

That’s where to start.

Recurring + annoying + rules-based = automation candidate.

Not everything needs an agent.
Not everything needs a new app.
Not everything needs a transformation project.

Sometimes the win is one clean workflow that gives a person 30 minutes back every morning.

Stack enough of those and the business changes. Start small, think big.

[Brad Groux @BradGroux]

AI didn’t remove the work.

It moved the bottleneck.

Before: "Who has time to do this?"
Now: "Who knows what good looks like?"

That’s the real AI skill for small teams:
• define the outcome
• spot bad output fast
• build repeatable workflows
• keep humans in the high-judgment spots

The winners won’t be the people using the most AI.

They’ll be the people who can turn messy work into clear systems. Start small, think big.

[Brad Groux @BradGroux]

AI didn’t replace your job.

Someone who documents their process, measures the output, automates the repeatable parts, and shows up with receipts became harder to ignore.

The advantage isn’t "using AI."

The advantage is turning messy work into a system other people can trust using tools like OpenClaw or Codex.

That’s the whole game. Start small, think big.

[Brad Groux @BradGroux]

Most companies are building their AI roadmap backward.

They start with:
• Which model?
• Which agent platform?
• Which plugin?
• Which chatbot?

Start here instead:
• What decision repeats every week?
• What handoff breaks the most?
• What exception costs real money?
• What approval cannot be skipped?
• What system is the source of truth?

The model choice matters.

But the workflow choice matters first. Start small, think big.

[Brad Groux @BradGroux]

The AI agent is not the strategy. The strategy is deciding:

• what work should move faster
• what work needs approval
• what data is safe to touch
• what exceptions require a human
• what "done" actually means

An OpenClaw agent without those answers is just automation with confidence.

Useful, maybe. Dangerous, definitely. Start small, think big.

[OpenClaw🦞 @openclaw]

OpenClaw just plugged into X, and now your own hardware gets the claws. 🦞

Bring your Grok, SuperGrok or X Premium subscription to your OpenClaw agent.

Now even your personal agent is red-pilled and based.

Get Grokked:
https://t.co/pIj2vp1IpM

[Brad Groux @BradGroux]

The expensive part of AI usually isn’t tokens. It’s workflow entropy:

• Bad handoffs
• Missing context
• Unclear approvals
• Duplicate data entry
• No audit trail

No one knows who owns the exception path.

Agents, like OpenClaw, don’t magically fix that.

They expose it faster.

That’s why the real AI work starts before the model call. Start small, think big.

[Brad Groux @BradGroux]

Your UI is not the product. Your schema is the product’s skeleton.

If the relationships are missing, the app doesn’t have bones.

Users don’t care that the page renders. They care that their work, access, history, and permissions make sense.

Plan and then execute with OpenClaw.

[Brad Groux @BradGroux]

Midmarket and Small businesses are about to get weirdly dangerous.

Not because they have better AI.

Because they can replace a bloated SaaS workflow in a weekend while the enterprise is still scheduling the vendor review meeting.

Speed compounds.

[Brad Groux @BradGroux]

Anthropic just crossed $44B ARR. 80x growth in a year. Meanwhile most enterprises are still doing 'AI pilots' that never ship. The gap between AI-native companies and AI-tourist companies is becoming a canyon.

Don't get left behind. Start small, think big.

[Brad Groux @BradGroux]

Over the past few months, I’ve been helping more people get started with OpenClaw, agentic AI, and practical AI workflows. The last few weeks, that pace has picked up fast.

And the biggest lesson I keep coming back to is this:
• There is nothing more important than faith in your own ability to figure things out.
• Not knowing exactly what you’re doing isn’t a weakness. It’s the default state now.
• The world is moving too fast for anyone to stay completely on top of all of it. The trick is not to wait until you feel ready. The trick is to find your groove while you’re already moving.
• Get comfortable being uncomfortable.
• Build in public.
• Build fast. Fail fast. Get what you built in front of real people as soon as possible. Once the idea is validated, then you spit and polish.

But too many people are waiting for certainty before they start. Certainty is not coming.

If you’re reading this, you already have access to the tools. You just need the courage to take the first step.

A wise man once said: "When you want to succeed as bad as you want to breathe, then you’ll be successful."

That’s the energy this moment requires.

Because the truth is, no one really knows what they’re doing. Some people are just willing to look foolish long enough to figure it out.

If I can do this, you can do this.

Want help? Join my community. https://t.co/TOXyjKi7QK

[Brad Groux @BradGroux]

Had a great time last night, so running it back this evening!

Join me tonight at 19:00 (7:00PM CST) for Office Hours in the https://t.co/X28WQEogND discord server. I'll be there to help you with all things OpenClaw and Agentic AI.

https://t.co/EK68ShpoRC

[Brad Groux @BradGroux]

I needed a simple Mac screen annotation tool for recording https://t.co/eDe04dQhyJ curriculum.

So I searched.

For hours.

Everything I found was either too complex, too expensive, too clunky, or built for someone else’s workflow.

So I built my own.

In less than 15 minutes, I used OpenClaw to shape the PRD for dm-annotate, an open-source Mac annotation app.

Then I used Codex and ChatGPT 5.5 to turn that PRD into a working proof of concept.

A few hours of iteration later, I had the exact tool I wanted:
simple floating toolbar, screen drawing, screenshots, text annotations, colors, line weights, keyboard shortcuts, permissions onboarding, and no bloat.

This is the part people still underestimate.

AI coding tools are not just about writing code faster.

They collapse the distance between:
“I wish this existed”
and
“I built it.”

That gap used to be weeks, months, or a budget approval.

Now it can be minutes.
You still need taste.
You still need judgment.
You still need to know what good looks like.

But the execution layer is changing fast.

If you have a workflow problem, a niche internal tool, a repeated annoyance, or an idea that has always felt too small to justify building...

Build it.

The leverage is real.

What small tool would make your work 10x easier?

dm-annotate is MIT licensed and open source: https://t.co/3DFiYKvgqv

[Brad Groux @BradGroux]

I'm hiring AI delivery partners and interns at @DigitalMeld.

We don’t care about your school, title, or years of experience. We care how you talk to people, how you think through messy problems, and what you’ve built.

Remote. Flexible. Outcome-based.

Apply: https://t.co/iHGqhDVga7