
CEO @crafterq_ai and @crafter_cms that power AI-first digital experiences for businesses. Prev founder/CEO of Rivet Logic (acq by Capgemini). VC investor.
USA
Joined January 2009
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Mike Vertal retweeted
AI shouldn’t be another browser tab your content authors have to open.
Our AI Assistant brings AI directly into the CMS for content creation, rewriting, SEO/GEO/AEO optimization, translation, and increasingly, agentic content operations.
Meet the Crafter Studio AI Assistant 👇
Mike Vertal retweeted
Appreciate the positive review @jayjohnsonai 🙌
The bigger idea? Websites may become less about clicking through menus and more about simply asking for what you need. CrafterQ is an interesting example of that shift. #WebsiteAI #EverydayAI
👉 Get Perfecting Prompts jayjohnson.co.uk/product-pag…
Mike Vertal retweeted
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
Tell me you don’t know what the time value of money is without telling me you know nothing about finance.
I stopped managing external capital about a decade ago so I could focus on compounding internal capital.
But the nature of Venture Capital is that VC funds take many years to be fully realized.
I’m at the tail end of that journey so am sharing the latest summary from Q2. I will hopefully wind down these funds in the next year or so and close this chapter.
My learnings for GPs and LPs:
1. Reporting should be simple and obvious.
2. Net DPI is all that matters. Optimizing for returns creates discipline and discipline will save you in the bad times.
3. You must compare yourself to the Cambridge Index. It’s fuel if you want to be a 🐐.
Mike Vertal retweeted
APIs made CMS content accessible to applications.
MCP makes content and capabilities accessible to AI agents.
We explore how MCP + CMS + OpenSearch + Spring AI creates the foundation for agentic digital experiences.
Mike Vertal retweeted
E-commerce makes shoppers search, filter, browse and compare.
In a store, you just ask:
“I need a waterproof jacket for Iceland under $200. What do you recommend?”
AI is bringing that experience online.
Our complete guide to AI chatbots for e-commerce below
Mike Vertal retweeted
Looks like today may be a record day for token volume % of open models on Vercel AI Gateway:
🟦 Open 78.4% 🟨 Closed 21.6%
While spend 💲 usually tells a different story, #3 and #4 today are Moonshot AI & DeepSeek. Adding Z.ai, their combined spend surpasses OpenAI (#2).
(Do note that's the spend for inference of the model across providers (mostly in the US), not revenue going directly to the open weight labs.)
Mike Vertal retweeted
This is the real reasons Dario Amodei and OpenAI want tighter AI regulation because open models are rapidly taking over the market beneath them.
Vercel’s AI Gateway data shows that open weight models now account for 78.4% of token volume, compared with only 21.6% for closed models while Open models represented roughly 40% of token volume in June, meaning their share has nearly doubled in only three months.
DeepSeek V4.1 Flash alone generates 59.3% of the tokens moving through the gateway and by comparison, Claude Opus 4.8 and Claude Sonnet 5 each account for only 1.7% of token volume.
However, the spending data tells a very different story.
Closed models still capture a disproportionate amount of money because they charge much more per token.
Claude Opus 4.8 accounts for 13.7% of spending despite representing only 1.7% of token volume while Anthropic’s five listed Claude models collectively capture 36.9% of total spending.
DeepSeek V4.1 Flash has the opposite profile because it processes most of the tokens on the gateway but accounts for only 5.1% of spending, which shows how aggressively open models are competing on price.
This is the threat facing closed model companies.
Developers may still use expensive proprietary models for their hardest tasks but they are increasingly sending high volume workloads to cheaper open alternatives and as open models improve, developers could begin routing more premium workloads toward them as well.
Open weights also give companies more control over their infrastructure.
Developers can download these models, run them on different cloud providers, fine tune them for specific applications, and avoid depending entirely on one company’s API and this reduces the pricing power and customer lock in enjoyed by OpenAI and Anthropic.
If open models keep closing the performance gap, OpenAI and Anthropic could lose the one thing that matters most, pricing power.
If you enjoyed reading this, make sure to follow @MelvinInvests for more.
just met a founder who still:
- hand writes all his code, no Cursor
- tracks customers in spreadsheets, no HubSpot
- sends invoices manually, no Stripe
- schedules meetings over email, no Cal
- reconciles his books by hand, no QuickBooks
- makes visitors fill out contact forms instead of talking to a CrafterQ AI website agent
just choosing the scenic route through entrepreneurship
Mike Vertal retweeted
AI agents shouldn’t just answer questions. They should get things done.
That’s the idea behind Actions in CrafterQ.
When a visitor shows buying intent, your AI agent can capture their information right in the conversation, and then immediately notify your team by email or send the lead into your existing workflows via webhook.
No “please fill out our contact form” detour.
No hoping someone notices the lead later.
The conversation becomes the conversion.
And Lead Capture is just the beginning. We’re continuing to expand what CrafterQ agents can do on behalf of your business.
More than answers. Real actions.
Mike Vertal retweeted
There’s a lot of talk lately about the probability that AI eventually kills us all.
10%? 20%? 50%? 🤖☠️
We can’t speak for AGI.
But we can make one commitment:
CrafterQ will never kill anyone.
It will answer questions. Engage website visitors. Generate leads. Help customers. Even increase sales.
But world domination is definitely not on the roadmap.
Probably. 😂
🤖 Made with AI
Mike Vertal retweeted
Building an AI chatbot used to mean developers + decision trees + lots of code.
Not anymore.
The new workflow:
Website → Train → Instruct → Test → Deploy
And modern no-code chatbots can do more than answer FAQs. They can capture leads, escalate to humans and take actions.
How to build one 👇
Mike Vertal retweeted
Adobe AEM vs CrafterCMS.
The real difference isn't another CMS feature checklist.
It's architecture:
→ Git-native content
→ DevContentOps
→ Decoupled delivery
→ Headless + visual authoring
→ Deployment flexibility
→ Open source
→ AI readiness
Read the comparison👇👇
Mike Vertal retweeted
🔐 CrafterCMS is now TX-RAMP certified.
Another important milestone in our investment in enterprise security and one that makes it easier for Texas government agencies to adopt CrafterCMS for modern websites, portals and digital services.
What TX-RAMP requires; why it matters👇
Dario’s response is weak.
Nobody is arguing that “all regulation = regulatory capture.” As @DavidSacks says, that’s a straw man.
The problem is when one of the world’s largest AI companies asks government to create an FAA-style regime that can block competing models from being released.
Who is best equipped to navigate that regime? Anthropic and the handful of other frontier labs with billions of dollars, armies of lawyers, government affairs teams, and former policymakers on staff.
Who gets crushed? Startups and open source.
That’s not decentralizing AI. It’s building a regulatory moat around the incumbents.
And after years of telling the public that AI could destroy jobs, blackmail humans, and potentially threaten humanity, Dario now seems surprised that people fear AI and want someone to control it.
I think @GavinSBaker captured the disagreement perfectly: Dario believes AI is too powerful to distribute. In fact, AI is too powerful to centralize.
I’ll take open competition over a government-approved AI oligopoly.
1/2 Thanks Gavin for an especially thoughtful exchange. I don't usually spend much time on social media but I wanted to engage here because it really brings out the heart of an important conversation.
First, on regulation, I think that “either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely” is a false choice. I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world. Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people. I don’t necessarily agree with that perspective either, rather I think it’s complicated and really depends on what the “regulation” consists of. But in particular I think that those in the “regulation = regulatory capture = concentration of power” frame often underrate the decentralizing power of objective and fair institutional processes. A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice. At their best, institutions can vest power in ideas rather than people, and thereby decentralize that power.
This is why Anthropic has always made its policy proposals very carefully. We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors. California’s SB53 (which we supported), and even the much-maligned SB 1047 (which we were ambivalent on), completely exempt any company below a certain amount of revenue or model training costs from being covered at all (it was $500M for SB 53, lower for 1047 but we objected to that). More recently the testing process we’ve advocated for at CAISI and the White House involves more rigorous tests for frontier models than off-frontier models — something that differentially advantages challengers. Similarly, the “Pacing the Frontier” letter envisions (or at least Anthropic’s preferred implementation of it envisions) modulating the pace of the very best models while not constraining those who are catching up. This hurts the business interests of the frontier labs and helps challengers, including open-weights!
Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws). Open-weights do help some with this but are nowhere near a sufficient solution because they simply shift the concentration somewhat to those with the most compute and chips (which are roughly the frontier labs plus maybe hardware providers). By contrast I think the right “rules of the road” can simultaneously (a) address AI’s cyber/bio/alignment risks, (b) institutionally constrain the power of the frontier AI companies, and (c) leave room for open-weights models while also addressing the specific risks that they bring.
BTW I do not think that the events of the last few months have “failed to result in [my] preferred regulatory path”. The approach that the Trump administration is reported to be taking — pre-deployment testing for frontier models, and also testing of open-weights models when they get closer to the frontier — is one that I am very supportive of, though of course I have to see the details to be sure. I am also supportive of Demis Hassabis’ ideas around a FINRA-like entity. This contrasts with six months ago when most of the industry was still pushing for preemption of all state regulation and no apparent federal approach either.
Mike Vertal retweeted
First time reporting to a CEO?
3 simple things to learn:
- admit your mistakes. CEOs make even more of them. They get it.
- end excuses. Those don't work anymore.
- when you bring up a problem, make sure you also bring a solution.
Do just this, you'll excel.
The best way to improve your website’s AI agent?
Let site visitors use it.
You’ll never anticipate every question they’ll ask.
Deploy → Observe → Refine → Retrain.
Every unexpected question makes the AI better, and often reveals something your website should explain better too.
That’s the real power of conversational AI:
Analytics tell you what customers did.
Conversations tell you why.
















