We ship thousands of words,
but every story, pitch, product
invokes one of these 6 emotional reactions:
- Mad
- Glad
- Sad
- Afraid
- Surprised
- Disgusted
The job of the storyteller is to choose
which button to press (on purpose).
Read more here: https://t.co/C8bbNR54M0
Irrespective of the timing @benstokes38 will go down as one of the finest players in the modern game. Inspirational. Loved the big stage. Headstrong. Decisive. Game changer. Made the game richer.
Improving a product with a chat interface is so much easier than a website. With a website, you're stuck watching screen recordings and guessing what users wanted. With a chat interface, they literally tell you in English what they want your product to do.
.@Hubspot Marketing philosophy
"The definition of remarkable is simply 'to be remarked upon'".
- @bhalligan
via @kippbodnar@searchbrat
With AI in the hands of every marketing team, it's harder than ever to actually stand out, get noticed. Tune in to @matgpod for ideas.
The AI race is no longer about who has the best model!!!
It's about who can deploy, govern, orchestrate, and scale thousands of AI agents across the enterprise
@TribalScale
Marketing is quite simple:
You need to ignore the shiny ball. You need to research customers. You need to stay on top of cultural shifts. You need to know how to tell stories. You need to know how to measure ROI. You need to know how to create quality content. You need to understand psychology. You need to understand strategy. You need to use AI. You need to know what AI sounds like. You need to understand video. You need to understand short form. You need to know SEO. You need to about paid media. You need to know what influencer marketing is. You need to know email marketing. You need to know funnels. You need to know branding. You need taste. You need a bit of hustle. You need to be able to work autonomously. You need to be collaborative. You need to stay calm. You need to hustle. You need to be able to take feedback. You need to be able to manage a community.
That’s it.
Two things are true:
(1) Anthropic (or parts of it) are absolutely and sincerely worried about the misuse of Mythos-class models & have put in excessive safeguards until they are confident it will not be misused
(2) They have not succeeded in explaining/convincing people of this
Lessons from AI in the Enterprise
Building became easier, faster.
Selling is still hard. Requires
- Taste
- Differentiation
- Security
- Governance
- High quality
This is what the market got wrong about AI eating enterprise software. Building good software in the past was very hard. Yes, AI has made that a bit easier, though it’s still hard to build something that’s got good taste, differentiated, high quality, secure, and so on.
But nevertheless, that’s only one component of building a platform that enterprises rely on. The plurality of costs in most enterprise software companies is actually on GTM, because at scale most enterprise software categories are tough to break into and need a heavy amount of consultative selling and support for implementation and integration of solutions.
AI hasn’t reduced the need for that, and in many cases requires it even more now, as landscapes get even more busy and complicated for buyers to navigate through. If you make one thing cheaper and more abundant (development of software) then the new problem of discoverability and market differentiation (GTM) becomes the hardest part.
But, enterprises wants to simply know:
How to maintain control over
sensitive data as AI processes it?
The @SkyflowAPI team is unpacking this live tomorrow. Join @anshublog and Joe McCarron at https://t.co/Gn2T7bzLLc
- Cloudflare AI Gateway blocks PII
- Kong AI Gateway blocks PII
- LiteLLM AI Gateway blocks PII
- Portkey AI Gateway blocks PII
- AWD AI Gateway blocks PII
- GCP AI Gateway blocks PII
We integrate with every AI gateway to safely unblock the use of sensitive customer data.
AI’s next bottleneck isn’t model performance. It’s control.
At @SkyflowAPI Sovereignty in the Age of AI webinar, @anshublog and Joe McCarron tackle the question enterprises can’t avoid: what does sovereign AI actually mean in production? As AI moves from demos to customer-facing systems, data residency, governance, privacy, and jurisdiction are becoming board-level concerns. Skyflow argues sovereign labs solve experimentation, not deployment , and that compliant AI requires architecture built around tokenization, regional controls, and enforceable governance from day one.
The winners of the AI era won’t be the companies with the most powerful models , they’ll be the ones that can prove control, compliance, and trust at global scale.
#SovereignAI #EnterpriseAI #DataGovernance #DataPrivacy #Compliance