Adam Halvorsen

Proud father and husband. CEO of NuForm Digital. We help growing companies design, build & scale mobile, web & AI apps. Properly.

[Adam Halvorsen @AdsHalvo]

Rebuilding can be the right move, but it is not automatically the brave or sensible one. Sometimes the platform needs replacing. Sometimes the code needs stabilising. Sometimes the real issue is how decisions, priorities and delivery are being managed around it.

[Adam Halvorsen @AdsHalvo]

I thought the last lot were bad…

[Adam Halvorsen @AdsHalvo]

@Malachians Totally agree

[Adam Halvorsen @AdsHalvo]

@TheWavyRed He’s great just should be playing deeper. Never a 9.

[Adam Halvorsen @AdsHalvo]

That @ManUtd performance was disgusting.
No aggression, fitness, intensity, bravery. Amorims stubbornness on shape is going to keep on costing us.

[Adam Halvorsen @AdsHalvo]

@Jaz_Mystic Nope.

[Adam Halvorsen @AdsHalvo]

@NicHulscher You need to reference the studies please.

[Adam Halvorsen @AdsHalvo]

@Jaz_Mystic Sign me up

[Adam Halvorsen @AdsHalvo]

“All truth passes through three stages.

First it is ridiculed.

Second, it is violently opposed.

Third, it is accepted as being self evident.”

Arthur Schopenhauer

[Adam Halvorsen @AdsHalvo]

I have cardiac sarcoidosis so am at higher risk and am trying to balance out taking the flu jab.

Best data I can see is 25% reduced mortality and 30% reducing in getting flu - but with very rare side effects eg GBS and narcolepsy.

Whilst it’s not particularly effective, I also can’t see a downside? Any thoughts welcome.

[Adam Halvorsen @AdsHalvo]

@campbellclaret They literally doctored a speech? This is nothing to do with the right or Reform - this is the BBC being called out fair and square.

[Adam Halvorsen @AdsHalvo]

@EdwardJDavey What on earth are you talking about - a documentary on its flagship channel was edited to intentionally mislead the public. This is a huge breach of trust.

[Adam Halvorsen @AdsHalvo]

So this country is now taxing people to leave? 😆

[Adam Halvorsen @AdsHalvo]

CIOs, CTOs, and Heads of Digital: Ever sunk months and millions into a digital or AI project, only to see it flop because users didn’t engage or the business impact fizzled?

It’s a common trap. 84% of digital initiatives fail—not from bad tech, but untested assumptions.

As a leader, you’re under pressure to deliver fast, prove ROI, and dodge budget disasters. Sound familiar? Stakeholders want results now, scope creep kills timelines, and there’s that nagging doubt: “Will this actually work?”

What if you could de-risk it all first?

Our free AI Product Validation Checklist—a 90-second scorecard for IT leaders—helps you do just that. Answer a few key questions, and get:

- Your personalized score across 5 pillars: Vision & Alignment, User Insight, Business Impact & ROI, Technical & AI Readiness, Delivery & Risk Management.

- Instant insights: See strengths, spot gaps, and get clear steps to prove adoption and value early.

- The 30-Day AI Prototype Playbook PDF: A proven framework used with a large UK bank and a high street FMCG brand to build clickable prototypes in 7 days and functional versions in 30—boosting adoption, cutting costs, and winning stakeholder buy-in.

No guesswork. This playbook ensures you validate user needs and ROI before big spends, working for any industry—finance, retail, tech, or beyond. It’s 100% free, results instant, and tailored to you.

Take the 90-second scorecard here: https://t.co/I1suI5z23u

#DigitalTransformation #AIInnovation #CTO #CIO #ProductValidation

[Adam Halvorsen @AdsHalvo]

Voice interfaces aren’t just about shiny avatars and human-like presentations. This week, The Guardian put that theory to the test—with a Leeds MP’s AI avatar attempting to understand a Yorkshire accent. The result? Mixed at best. While it grasped major themes like "Gaza", it stumbled on common phrases like “now then” or “chuffed” and misdirected a fly‑tipping complaint altogether.

This isn’t a speech recognition problem—it’s a reminder that real-world use tests matter.

In a world rushing toward AI everywhere, organisations can’t afford to wait for perfection. That’s where smart, rapid prototyping comes in. Imagine this instead:

10 days of user testing to uncover edge cases (like Yorkshire dialects)

20 days to train your voice model on real user data and feedback

A working prototype that’s usable—not perfect—but far closer to real capability than a naive demo.

Because the hardest part of AI adoption isn’t the model—it’s the trust, context awareness, and adaptability.

[Adam Halvorsen @AdsHalvo]

Every business leader I speak to is investing in AI, planning to, or quietly panicking they’re already behind.
The hype is deafening.
But what if the real risk isn’t underinvesting in AI tech—
…it’s underinvesting in the people using it?

A new study by learning scientists at Multiverse raises a sobering point:
Over-reliance on AI tools is beginning to erode the very human skills needed to use them well.
We’re seeing it already—teams defaulting to AI outputs without much reflection, creativity, or challenge.
But real value doesn’t come from “using AI.”
It comes from asking better questions. From interpreting answers. From making judgement calls AI can’t.

And that’s the opportunity right now—
→ Not just building AI tools.
→ But building the human capability to shape, question, and direct them.
Prototype sprints, experiments, internal pilots—these are great starting points.
But they’re only valuable if your team is actively engaged in the process, not just watching the outputs roll in.

We don’t need passive users.
We need active drivers.
Otherwise, we risk building a future where we have all the answers…
…but no idea which questions matter.

[Adam Halvorsen @AdsHalvo]

OpenAI just announced new mental health-related features for ChatGPT —
Pop-up reminders to take breaks
Detection of emotional distress
A nudge toward healthier digital habits

It’s a subtle but important shift:
AI is no longer just about speed or automation — it’s also about ethics, experience, and employee wellbeing.
And here’s what stands out:
These features are being prototyped and shipped fast, with clear intent — not just for product polish, but for people impact.

Now imagine if more companies applied that mindset internally.

Could you prototype an AI assistant that flags burnout signals in Slack?
A system that tracks digital overload across tools and nudges better habits?
A wellbeing tracker that blends usage patterns, sentiment, and calendar load?

Not everything needs a 12-month build.

Sometimes, the most valuable internal innovation starts as a 30-day prototype — scoped just enough to test, learn, and improve.
It’s not just about launching products.
It’s about shaping better experiences — for teams, users, and customers.

[Adam Halvorsen @AdsHalvo]

Mega @thebottlemen

[Adam Halvorsen @AdsHalvo]

— and how does it improve the customer experience we’re already building?

Here’s what we’re seeing that works:

– Use AI to speed up workflows, not replace them
– Automate backend complexity, so your teams can focus on what matters
– Add intelligence at decision points, not generic chatbots at the edges
– Bring in AI where it directly enhances the customer journey — faster onboarding, smarter recommendations, real-time support
The result?
You don’t just “add AI” — you create better products, reduce friction, and deliver measurable gains in speed, cost, and customer satisfaction.
Keep your roadmap — but evolve it with precision.

[Adam Halvorsen @AdsHalvo]

Unreal gig. @oasis