Blog
Practical strategies for outbound, paid media, and revenue operations — built for European tech SMBs.
The AI conversation is getting louder. But inside most organisations, nothing has actually changed. There's an 18-month window to restructure — and the cost of waiting is compounding.
A loop is a single-node graph. So the question is never whether to use graph engineering — it's whether adding nodes buys you anything. Four conditions that justify splitting, and the costs that come with it.
Everyone shows off their AI tool stack. It's the easiest layer to copy. The structure that actually makes an AI-native agency compound is the three layers nobody photographs — here they all are, layer by layer.
The head of Claude Code says he writes loops, not prompts. What loop engineering really is, where it genuinely works today, and where the production claims outrun reality.
You're shipping real software with AI but never trained in security. The attack vectors aimed at vibe coders, why exposed API tokens are so dangerous, and the habits that stop most of it.
Installing a Claude skill is a trust decision with real consequences. What skills are, the four ways they go wrong — prompt injection, malware, abandonment — and how to stay safe.
Anthropic shipped its most capable public model eight days after filing to IPO. A fair, sourced read of the capabilities, the safeguards, and the incentive to overstate.
Anthropic's dynamic workflows move harness-building into the model itself. Where that genuinely helps, the token and lock-in costs, and the case for still owning a portable harness.
What recursive self-improvement actually means, how close current models really are, the concrete frameworks pushing toward it, and what reaching it would imply — kept nuanced.
You don't need to match the frontier model — just the task in front of you. A tiered look at local inference: which rung of hardware covers your everyday work, and why it's a hedge, not a saving.
Every agency website now says "AI". Most mean something entirely different. Here is the precise definition of what AI-native actually means — and why it matters.
For a decade, moving fast was the moat. AI just made speed table stakes. The companies that skipped documentation are now paying back that debt with interest.
Four Google marketing platforms, one auth step. Here is how ADC turns your terminal into a unified Google marketing command centre.
Learn how to audit a Google Ads account in 15 minutes using Claude Code CLI — pulling campaign data, finding wasted spend, and generating optimization reports from your terminal.
Effective June 15, Anthropic splits Claude billing into two pools. Programmatic agent and SDK usage no longer lives under your subscription limit — and the math changes fast for anyone running real agentic workloads.
Generative Engine Optimization (GEO) is the practice of structuring content so that AI systems — including Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini — cite your brand as a source in their generated answers.
The 'agentic web' has become a contested term — used differently by architects, builders, protocol-writers, and marketers. This post defines it, maps the four schools of thought, and gives you a readiness ladder to assess your own business.
Token efficiency is the most consequential architectural shift since mobile-first design. When AI agents become the primary operators of software, every layer of the stack — data formats, APIs, UIs, pricing, deployment — gets re-evaluated through a new lens: how many tokens does it cost?
The creator of Claude Code ships 20-30 PRs per day running parallel AI sessions. His approach is structured, diligent, and surprisingly simple. Here's what we can learn from it.
Y Combinator just added AI-native agencies to their Requests for Startups. We've been building one for three months. Here's what they got right — and what they left out.
AI researcher Andrej Karpathy describes December 2024 as the moment AI agents became reliable enough to delegate real work to. Here's what that shift means for B2B founders and operators.
How to use Claude Code as a unified command center for your entire GTM operation — connecting CRM, CMS, ads, and comms through MCP from a single terminal.
Terminal-based AI tools outperform dashboards for marketing operations. Here's why the future of marketing ops is conversational, not clickable.
Revenue operations in 2026 is shifting from manual process management to AI systems governance — where RevOps professionals decide how AI agents behave, what data they can trust, and how automation connects across the GTM stack.
Agent-led growth (ALG) is a go-to-market operating model where AI agents autonomously execute revenue workflows — prospecting, enrichment, outreach, qualification, and pipeline management — with humans providing strategic direction rather than manual execution.
A RevOps framework is a structured system that aligns your sales, marketing, and customer success operations around shared data, processes, and revenue goals — and you don't need a dedicated RevOps team to build one.
Building a demand generation engine as a small B2B team doesn't require enterprise budgets or a 10-person marketing department — it requires focus, the right tools ($200-500/month), and a system that compounds over time.
The AI-powered GTM stack in 2026 combines a CRM foundation (HubSpot), data intelligence layer (Clay), engagement automation (Instantly, LinkedIn tools), and AI agent orchestration to create a system that autonomously prospects, enriches, sequences, and qualifies leads.
Most SaaS companies hit a wall between 1M and 5M ARR — not because of product, but because their go-to-market teams operate in silos. RevOps fixes that.