May the Fourth be with you. 💚
Hear from our keynote Jedi Bas Dijkstra as he shares his wisdom with devs, QA engineers, and engineering leaders on turning test signals into decisions you can stand behind.
Register for #CypressConf26: https://t.co/StizRQSwIJ
The #AI and #marketing mashup is well under way with major impacts all around for your #CMO, #CFO and #sale organizations. Thanks @TomBasgil for a great discussion ... https://t.co/6xt0JlOxhg
"I don't know another expert in the world who can tell us what's working or not better [than Tom]".
Nothing better than getting positive feedback from a client. <3
You know you can just go up to people and ask to be friends?
It’s awkward as hell, but we’re all just lonely little souls looking for connection.
Tried this last week with somehow I just met – and now we’re sharing book rec’s with each other on IG!
Your board will forgive honest failures.
They won't forgive discovering in Q2 that marketing's "successful" year was built on metrics that never influenced a single deal.
The companies that survive 2026 will have built brand recognition.
Not pretty, pretty dashboards.
Are you reporting year-end results that just make you look good?
Most marketing teams right now are juicing last-click attribution, retargeting the same audience, and celebrating engagement with folks who already know them.
Prospects still say, "I've never heard of you."
In enterprise AI, a 0.1% error rate isn't a statistic – it's a balance sheet problem.
For years, the race in AI has been about scale. But what if the most powerful model isn't the most valuable one for your business?
On the latest episode of Humans of AI, WRITER’s Head of AI, Dan Bikel, makes the case for a radical reversal in thinking.
Dan argues that the randomness making consumer AI feel "human" is a critical liability for the enterprise, where predictability and trust are paramount. A 0.1% error rate sounds small until it results in 10,000 mistakes a day – each with an invoice attached.
This philosophy is the foundation of The Agentic Compact, our framework for responsible AI. It demands foundational transparency into an agent’s design, data, and objectives, shifting the focus from a model's potential to its practical, real-world application.
Discover why the future of enterprise AI belongs to the most transparent and auditable systems, not just the biggest.
🔗 Check it out wherever you get your podcasts! https://t.co/LThV958AEu
Is your marketing AI a ghost in the machine or a brand voice vampire? 🧛♂️
If you're whiling away the witching hour because AI is hallucinating customer insights, you might be haunted by more than you think.
We've all felt that chill down our spine when thinking about AI's impact on marketing: from the “prompt-paralysis-pavor” that leaves you creatively frozen as you agonize over the perfect prompt to the “app-arition-aversion” that has you terrified that you will choose the wrong option among thousands of AI tools.
Are you brave enough to face the real monsters lurking in your marketing AI strategy? 👻 Share your biggest AI phobia in the comments below… if you dare!
P.S. Feeling haunted? Don't worry, we're brewing up a special session on how to turn these AI poltergeists into productive partners. Keep an eye out for an invitation soon.
The agentic AI revolution is more than just a software upgrade. ⚡
It is a fundamental rewiring of your entire company – and it requires business leaders to take the reins.
Our CEO and Co-founder May Habib joined @elevenlabs CEO and Co-founder Mati Staniszewski on the @Dreamforce stage to discuss the future of AI in the enterprise – and why many organizations are unintentionally holding back the AI revolution.
Watch their full session below to hear how AI is rewriting the standard playbook, how companies can build and scale trusted enterprise-grade AI infrastructure across departmental siloes, and what today’s leaders will need to realize the transformative impact of agentic AI.
#DF25
How do you get complete strangers to trust you with their banking information – when they've never heard of your company?
In 2020, I was hired to help a FinTech company expand from Europe to North America. Three years later, we’d reduced CPLs by 82%.
At the end of the day, partners cared about the CPL improvements – but that didn’t secure their acquisition. Scaling isn't only about cheaper leads, it's about repeatable systems that actually convert strangers into customers.