Klariad A tech and AI consultancy for operators who run more than one business.
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25/07/2026

Most people don't need software. They need a problem to stop happening.

Sometimes the answer is a build. Often it's a smaller change, a different tool, or waiting three months until the requirement stops moving.

We'd rather tell you which.

That's why our new piece has no prices in it. It has how software actually gets priced, what moves the number, and five checks for reading a quote you've already been handed:

→ Does it separate thinking from building?
→ Is anything priced for after launch, or is maintenance missing?
→ Who owns the code, and the data?
→ What's excluded? That list tells you more than the inclusions.
→ Could you tell from it how you'd know the work was finished?

It also lists four times when you shouldn't build at all. Each one costs us the job.

If something isn't working, tell us what it is. We'll tell you what we think it takes.
Nothing inflated, nothing hidden.

Most operators are spending on AI that won't compound.We audited 12 deployments across our practice over 22 months. Ever...
19/05/2026

Most operators are spending on AI that won't compound.

We audited 12 deployments across our practice over 22 months. Every deliverable got one of three labels: COMPOUNDING, LINEAR, or DEPRECIATING.

The pattern was clean.

Compounded every time:
· Eval harnesses (5/5)
· Multi-tenant platforms (3/3)
· Customer knowledge layers (2/2)
· One-page strategic artifacts (4/4)

Depreciated within 9 months:
· Single-purpose AI features without harnesses
· Persona tools (4/4 abandoned within 6 months)
· Vendor-locked AI subscriptions

The three traits compounding deliverables share: INFRASTRUCTURE, SHARED, PROVENANCE.

Three questions to run on any AI investment before you commit:

1. Will it be infrastructure or a feature?
2. Shared or single-purpose?
3. Will it have provenance or be a black box?

Two or more yeses tends to compound. Any zero tends to depreciate.

We've built a 1-page checklist with 9 specific questions you can run on any AI investment under $50k.

Comment COMPOUND below and we'll send it. No newsletter. No sales sequence. Just the checklist.

Three questions. Thirty seconds.Most operators have at least two of these silently running in their business — and don't...
15/05/2026

Three questions. Thirty seconds.

Most operators have at least two of these silently running in their business — and don't know it:

1. Would your team know if an AI feature regressed before a customer complained?

2. Are three (or more) of your AI tools doing substantially the same job?

3. Are prompts being committed without tests?

If you couldn't say YES to #1 — or YES to either #2 or #3 — you're inside one of the five named failure modes of portfolio AI we audit for clients.

We've built a 6-page field diagnostic that walks through:
· Which pattern matches your answers
· The cost-of-inaction range for your team size (sourced — Zylo 2026, published AI vendor pricing)
· The architectural fix you can ship this quarter
· One redacted case study with real numbers

Comment PATTERN below and we'll send you the PDF. No newsletter. No sales sequence. Just the audit.

An eval harness isn't a tool. It's an architecture.Golden set → grader → automation → dashboard → alert.Built on the tes...
12/05/2026

An eval harness isn't a tool. It's an architecture.

Golden set → grader → automation → dashboard → alert.

Built on the test runner you already have. No new infra. No new vendor. One engineer-week from zero to first caught regression.

A redacted case study at klariad.eu — a Nordic studio that caught a summarization regression in production, week two.

Most AI advisors give operators two answers: "build this" or "buy that."Almost nobody gives the third one — "ignore it e...
07/05/2026

Most AI advisors give operators two answers: "build this" or "buy that."

Almost nobody gives the third one — "ignore it entirely."

It's the answer that compounds the most.

In the past year I've watched small businesses spend $5,000 to $50,000 chasing AI tools that didn't fit them. Not because the tools were bad. Because nobody was willing to tell the operator that this particular wave wasn't theirs.

The job of an honest advisor isn't to add options. It's to delete them.

A Portfolio Operator I work with had a list of seventeen "AI initiatives" at the end of last quarter. We worked through them in an hour. Three were worth doing. Five could wait. Nine — the largest budget by far — should be ignored entirely.

Not delayed. Ignored.

His Q2 plan got shorter. His budget freed up. The three remaining moves are actually shipping now.

Most operators don't need more AI ideas. They need permission to skip the ones that aren't theirs.

If you're reading "AI for X" content and feeling behind — you're probably not behind. You're being sold options.

— Mike

🤖 Generative AI is reshaping how we work, create, and solve problems.But what exactly IS it? And why should you care?Thi...
13/04/2026

🤖 Generative AI is reshaping how we work, create, and solve problems.

But what exactly IS it? And why should you care?

This technology isn't just about chatbots anymore. It's becoming the backbone of innovation across industries - from healthcare to entertainment, marketing to education.

The businesses and professionals who understand and leverage generative AI today will have a massive competitive advantage tomorrow.

Swipe through to discover:
✅ What generative AI actually means
✅ Mind-blowing statistics about its growth
✅ Real-world applications changing industries
✅ How it differs from traditional AI
✅ Why this matters for YOUR future

Don't get left behind in the AI revolution. Understanding this technology isn't optional anymore - it's essential.

Save this post and share it with someone who needs to level up their AI knowledge! 👆

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Follow @ Klariad for more insights on AI, technology, and future-proofing your career.

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