Insights
Cutting Code AFK. How Ralph Wiggum can do the work for you
So it finally happened, I was pulled into a meeting and told to replace myself with AI.” Read Elena’s full breakdown on how to use the Ralph Wiggum Loop to speed up development, including learnings and a step-by-step guide.
The Knowledge Graph Tool Inside Our AI Accelerator
Why we paired Neo4j, knowledge graphs and the Model Context Protocol inside our AI Accelerator, and how the combination turns months of integration work into days.
WeBuild-AI Named an OpenAI Select Partner
WeBuild-AI announces its new partnership with OpenAI. WeBuild-AI will continue working with OpenAI to help organisations build, deploy, and scale AI solutions responsibly and effectively at a global scale.
Open Source Models Are the Pathway to Sovereign AI
In this post we explore why open source models have crossed the threshold for everyday enterprise use, why Anthropic's decision to open source its Agent Skills framework is a bigger deal than it might first appear, and why the organisations best placed to move quickly with AI are those thinking carefully about where their data lives and which model is appropriate for which task.
Why a Multi-Model Strategy Is Now Mission Critical
When Anthropic withdrew Claude Fable 5 globally just three days after launch, following a US export control order, it proved that enterprise AI concentration risk is no longer just commercial but geopolitical. This article makes the case for a resilient multi-model strategy spread across providers and jurisdictions for enterprise AI.
From Three Weeks to Five Minutes: What Production AI Actually Looks Like in Private Equity
Discover three core AI use cases for private equity and venture capital firms and what it took to build them - automated competitor analysis, company research and LPA knowledge retrieval.
An Enterprise Playbook for Getting AI Agents to Production
How to move your AI Agents from POC to production: a step-by-step guide, no matter your department or industry.
From Figma to Functioning Frontend in Four Weeks
Discover how the WeBuild-AI team moved from Figma to functioning frontend in four weeks, including the full scope of multi-functioning tools, user testing and key learnings.
The Open Model Moment: Why Every Enterprise Needs a Multi-Model Strategy
The open model shift is accelerating, and three moves in the last fortnight show exactly where this is heading. Stop paying someone else's margin to think for you and adopt a multi-model strategy.
Build Foundational Enterprise AI Using Spec-Driven Development and Architecture Decision Records
From agile and waterfall methodologies to AI-native software development lifecycles - how to standardise spec-driven approaches to build AI-ready enterprises.
AI Quick Wins Across the PE Deal Lifecycle
How forward-thinking PE firms are deploying production-ready AI in 4-8 weeks to gain competitive advantage without the 18-month implementation timelines of traditional consultancies
Five Workflow Patterns to Multiply Your Development Capacity with AI Coding Assistants
Multiply your software development capacity with AI coding assistants - here’s 5 workflows to get you started
Aligning Spec-Driven Development and Context Engineering For 2026
Are spec-driven development (SDD) and context engineering competing, or complementary - and how do we see that partnership working for 2026?
Rethinking Engineer Interviews: Why We Don't Do Take-Home Tasks
WeBuild-AI interviews for engineers don’t include any steps with take-home tasks - find out why we approach job interviews differently, from in-house Talent Partner, Rachel O’Keeffe.
Life at WeBuild-AI: meet Vincent Farah, Lead Consultant - from love letters to Python, to coffee as a debugging tool
Meet Vincent Farah, Lead Consultant at WeBuild-AI, to learn about switching hats between AI consulting and software engineering, and his journey from teenage coder to clean architecture aficionado.
