Insights
Practical thinking on product strategy, AI implementation and the reality of building digital products.
97% of execs deployed an AI agent this year; only ~10% reached production. The gap isn't the models - it's objective, governance and ops. Here's what the 14% do differently.
Autonomous AI agents are reshaping workflows and rewriting job roles, but deep human expertise is still your biggest asset.
Here's what a real week in the life of a fractional CTO looks like – board translation, forcing prioritisation, hiring and the governance that outlasts the engagement.
The Anthropic Fable 5 global shutdown exposed a massive single point of failure in closed AI APIs. This is why enterprise tech stacks must shift to local open-weight models.
Drawing on 20+ years building through PC, internet, mobile and cloud waves, here's what the AI transition will actually mean for white-collar work by 2030.
Most AI implementation projects stall after the pilot. Here's why that happens and the practical framework organisations actually need to embed AI workflows.
You used Lovable or vibe coding and shipped too fast. Now you have zero users. Here's what actually happens after – and what to do about it.
AI agents are everywhere in 2026. But what's real vs hype? Three patterns from UK businesses show what's working and what's just noise.
Deciding between a fractional CTO and full-time CTO? A 20-year operator breaks down what you actually get with each model and how to choose for your stage.
Most teams focus on building the thing right when they should ask: are we building the right thing? A fractional CTO's view on the difference.
In the last six months, I've reviewed about forty AI implementations across scale-ups and mid-market companies. The gap between what leaders think is happening and what's actually happening with AI in their organisations is wider than you'd expect.
Fractional, interim, consultant — what's the difference? A CTO who's done all three explains what fractional leadership actually looks like in practice.
I've reviewed about 40 products in the last year from founders who vibe-coded their way to launch. The pattern is always the same: three months of building, launch day excitement, then crickets.
A practical 4-step framework for implementing AI in your project — from problem definition to deployment. No hype, no BS, just what actually works.
Most organisations think they need an AI consultant for strategy. What they actually need is someone who can implement, embed, and make AI stick.
I've reviewed multiple AI implementations in the last 18 months. The ones that have risen above the rest haven’t achieved success because they have more budget or tech than the others - they’ve nailed implementation.
In the last month, Anthropic — the company behind Claude, one of the most safety-focused AI systems on the market — sued the Department of Defense (DoD) after it terminated all of their business relationships with US federal agencies.
Most jobs won't disappear by 2030. But they will feel very different. Here's what's actually changing — and what leaders should do about it.
I've reviewed about 40 MVPs in the last year. Maybe 8 of them were actually solving problems people had explicitly asked for. This revealed something to me - not everyone knows why you should build products, and there’s a huge gap in that knowledge.
I get it, AI is exciting. But I've watched this pattern play out enough times now to see where it leads: founders who spend six months building something nobody actually needs.
Many startup founders don’t know the difference between Chief Product Officer and Chief Technology Officer. Find out why making the wrong choice affects your growth.
The practical implications of AI aren't about job losses or magic solutions. They're about governance, process, and who owns decisions. Here's what actually matters.
A fractional product leader gives you senior product strategy and leadership without full-time headcount. Here's how it works and when it makes sense.
Most strategy decks die by February. Here are three unglamorous but high-leverage tech initiatives that will actually compound through 2026.
Looking back on 2025 UK tech projects, the teams that shipped weren't the ones with the fanciest AI—they were the ones who did discovery, governance, and sustainable pace.
Cloud bills creep up by default. FinOps brings finance, engineering, and product together to make cloud spend intentional—not a mystery tax.
AI-accelerated phishing, deepfake scams, and smarter malware are coming. The businesses that fare best won't have the fanciest tools—they'll have the basics nailed.
The most meaningful tech trend of 2026? AI becoming boring. Embedded, invisible, and quietly making everything faster.
AI can now generate code from plain English. But vibes are great for sketches—shipping real products still demands more than that.
Vibe coding uses AI tools to ship fast. But speed without strategy leaves founders stuck. Here's what vibe coding is, why it works, and where it breaks down.
Large organisations are quietly using no-code to close the gap between what the business needs and what IT can deliver. It's grown up.
Startups win demo days, join accelerators, get glowing feedback—then stall. Escaping the incubator economy requires proving demand, not collecting logos.
You can't control Budget policy, but you can control how digitally fit your business is when it lands. Think of it like weather—buy a decent coat.
Manufacturers have been told data is the new oil. The reality often feels more like data is the new headache. Microsoft Fabric aims to change that.
A simple MVP costs £30k–£100k. A feature-rich product with integrations? £80k–£250k+. Here's what actually drives those numbers up or down.
Your team is probably already pasting customer data into AI tools. The productivity upside is huge—so is the compliance risk if you're not careful.
Grant applications look like exams you haven't revised for. But approached strategically, Innovate UK and R&D relief can be powerful tools.
A fractional CPO owns your product strategy and direction without full-time headcount. Here's what the role actually involves and when you need one.
Employment costs keep rising. The question isn't whether—it's what you're going to do about it. Automation, workflow redesign, and self-service are your levers.
FlutterFlow generates native mobile apps. Bubble powers web-first platforms. Here's how to choose the right no-code stack for your product.
AI agents don't just answer questions—they log in, fetch data, transform it, and push it where it needs to go. Think junior colleague, not chatbot.
A full-time CTO costs £180k–£220k per year. A fractional CTO? £72k–£180k with more flexibility. Here's when each makes sense.
Most UK organisations confuse AI advisors with consultants. Here's what an AI advisor actually does and why that distinction matters for your business.
Custom coding your MVP in 2025 isn't brave—it's reckless. For most early-stage ideas, you don't need engineering. You need learning.
ChatGPT-5 generates production-ready code at unprecedented speed. For founders, this isn't a model update—it's a strategic shift in how products get built.
Your AI-generated MVP works for demos. But scaling it without a rebuild? That's how you get a $200K surprise bill.
Traditional SEO optimises for keywords. Vibe SEO aligns your brand, product, and content so they convey a consistent signal to both algorithms and humans.
Rosebud AI turns natural language prompts into playable game prototypes. No coding background required—just describe what you want.
GitHub Codespaces, Windsurf, Reflex—each AI coding assistant has different strengths. Here's how to match the tool to your workflow.
Jitter creates motion graphics. Hostinger Horizons handles no-code hosting. Together, they're a fast route to polished, launch-ready products.
Most scale-ups get the retainer model wrong. Here's how fractional CTOs structure engagements, what retainers actually buy you, and when project work makes sense.
A spreadsheet works for ten users. What happens when thousands sign up? Supabase gives you enterprise-grade scalability with a low-code interface.
Users expect instant updates. Supabase's real-time engine lets your AI-generated app deliver live features without complex WebSocket setups.
Lovable builds full-stack apps. Bolt generates MVPs in hours. v0 creates polished UI components. Replit offers a complete dev environment. Here's how to choose.
Searches for vibe coding have grown 6,700%. A quarter of Y Combinator let AI write 95% of their code. Here's how non-technical founders can join them.
60% of 2024's failed startups burned through over $100 million. The old playbook no longer works. The new one? Lean teams, agile delivery, capital efficiency.
Build the right thing means solving the right problem before you ship. Learn why most teams skip this step, what it actually involves, and how to do it well.
Startups used to hire to scale. Now they automate. AI isn't just a buzzword—it's infrastructure that lets small teams punch above their weight.
With VC funding down 35% from 2022 peaks, more founders are treating seed rounds as the entire runway—and building real businesses instead of fundraising machines.
More founders are raising $500k–$1.5M, building to revenue, and never looking back. Here's why the old raise-early-raise-often playbook is cracking.
The fastest learning happens in collaboration with your earliest users. Treating them like collaborators rather than consumers accelerates your path to traction.
90% of startups fail because they build products nobody wants. AI lets you kill a bad idea in 72 hours—not 12 months. Here's the framework.
Learn how fractional CTOs and CPOs help tech companies scale faster, reduce development risks, and implement strategic leadership without full-time overhead.
The era of bloated org charts is over. Today's best founders build lean teams that punch above their weight using cross-functional experts and AI.
Too many Web3 projects launch tokens on speculation, not substance. The smarter move? Build something first, validate it, then drop the token days before launch.
Many startups skip the most important step: understanding what users actually need. Design thinking isn't just creative—it's strategic.
AI, automation, and cloud infrastructure now let founders build scalable MVPs without big teams or big funding. We're entering a new chapter in entrepreneurship.
Agile isn't a process you adopt once you scale—it's a mindset you start with. Teams that embrace it reduce inefficiencies and build better products.
Building an app used to cost $60,000 and take months. MCP connects your app to data, tools, and APIs through a single protocol—changing what's possible for founders.
Design thinking workshops help teams identify challenges, brainstorm solutions, and prototype ideas using a human-centered approach. Here's how to run one.
AI agents perform tasks without human intervention, learn from interactions, and handle complex workflows. Here are the top use cases for business.
Blockchain distributes data across networks, encrypts transactions, and prevents tampering. Here's how it enhances security and transparency in tech products.
Product-market fit happens when customers love your product and would struggle without it. Here are the key steps to get there—and the mistakes that prevent it.
AI can automate, predict, and optimise every stage of product development. Startups using it accelerate time-to-market and reduce costs.
dApps run on blockchain networks, making them more secure, transparent, and resistant to fraud. Here's how SMEs are using them.
Scaling a startup requires strategic technology planning that aligns with business goals. A tech strategy consultant ensures tech decisions drive business success.
Most early-stage companies don't need a full-time CTO—but they do need technical leadership. A fractional CTO fills that gap at a fraction of the cost.
You don't need a researcher or designer to talk to users. Here's what actually works when validating your product idea on a tight budget.
AI agents, decentralised identity, tokenised assets—the intersection of AI and Web3 is creating groundbreaking opportunities. Here's what to watch in 2025.
When everything seems to work on paper but the product doesn't land, the root cause is usually a gap in understanding. Design thinking closes that gap.
Traditional funding is drying up. But it's not the end—it's a new beginning. Community-first models using Web3 and DAOs are flipping the script.
Rising costs, evolving regulations, selective investors. The UK tech companies that navigate this well treat grants, tax relief, and tech as levers—not background noise.
Rus Yusupov made more from his Vine token than selling Vine to Twitter. Crypto tokens are becoming a serious tool for raising liquidity—here's how.
90% of startups fail because they build products nobody wants. This 5-step AI validation framework helps you kill bad ideas in 72 hours—not 12 months.
Straight talk on when fractional CTOs work, when they don't, and how to decide if it's the right model for your business, from someone who does the work.
Thinking about AI consulting? Here's what UK businesses should look for in AI consultants — and the warning signs that tell you to walk away.
A practical guide to AI implementation from discovery through to embedding. What works in real organisations, what fails, and the steps most teams skip.
