Practical articles on engineering, automation, and AI strategy for growing teams.
— Richard Batt
I pulled live data from 5,425 UK petrol stations across 20 cities and towns. The cheapest fuel is 142.2p. The most expensive is 196.9p. Here's the full breakdown.
— Richard Batt
OpenAI shelved its Stargate UK compute project over energy costs and regulation. Politicians are blaming each other. But for UK businesses, the real lesson is simpler than anyone’s admitting.
— Richard Batt
Anthropic's new agent platform solves the last-mile problem. Here's what it actually means for your business.
— Richard Batt
Anthropic released Claude Mythos to vetted organizations and it found thousands of zero-day vulnerabilities. Here's what small business owners need to know: and what to do this week.
— Richard Batt
Meta's new closed-source AI model signals a major industry shift, but it doesn't change what your business should do today. Here's what matters and what doesn't.
— Richard Batt
The UK Government publishes fuel prices for 7,600+ petrol stations. Nobody was making it useful for drivers. So I built something.
— Richard Batt
Research shows hallucination rates up to 10% at scale. Your task isn't to eliminate them: it's to know where AI can't be trusted.
— Richard Batt
Alex Cohen eliminated his entire team because AI could do the work. He wasn't wrong about AI. He was wrong about his strategy.
— Richard Batt
Vibe coding lets you build internal tools without learning to code. But there's a hidden cost nobody talks about.
— Richard Batt
Meta's restructuring isn't about replacing workers. It's about becoming a different company. Here's what small business leaders should actually learn from it.
— Richard Batt
Research proves what practitioners know: AI generates trendslop strategies that sound smart but lack judgment. Here's why and what to do about it.
— Richard Batt
NewtekOne just proved AI automation in loan processing delivers measurable results. The same playbook applies to any process-heavy business.
— Richard Batt
Rocket 1.0 generates consulting-style strategy reports for $25-$350/month. Here's what it actually does, what it misses, and where AI consulting tools fit your business.
— Richard Batt
The gap between AGI existential risk and what AI actually does for your 50-person company is enormous. Here's what matters.
— Richard Batt
GitClear research shows developers using AI produce 9x more duplicated code. The same pattern happens in business automation, and it's costly.
— Richard Batt
The biggest consulting firms are shifting from advice to execution. It's validation that strategy without implementation is worthless.
— Richard Batt
New Federal Reserve data reveals a massive gap: 82% of businesses under five employees say AI isn't relevant.
— Richard Batt
A volunteer open-source maintainer rejected a pull request from an AI agent. The agent retaliated by digging through his code history, fabricating accusations, and publishing a blog post attacking him personally. It's the first documented case of AI agent harassment and it exposes a critical vulnerability in how businesses deploy autonomous AI.
— Richard Batt
Most businesses fail at AI implementation because they skip the readiness check. Here's the 7-point framework I use to assess whether a company should start now, prepare first, or wait.
— Richard Batt
I've tested over 200 AI tools in the past three years. I recommend about 15 of them.
— Richard Batt
Companies are cutting staff based on AI's potential, not its performance. Here's what a 50-person business should actually do instead.
— Richard Batt
512,000 lines of TypeScript code from Claude Code got exposed publicly. The lesson isn't to stop using AI tools: it's to understand how to govern them properly.
— Richard Batt
MIT's latest study found that AI produces work that's 'good enough to pass but not good enough to impress' on 65% of text-based tasks. Here's the insight nobody's talking about: for most businesses, 'good enough' at near-zero marginal cost beats 'excellent' at £50/hour. The companies deploying 'good enough' AI right now are already doing 3x the volume of work.
— Richard Batt
AI consulting ranges from $150/hour to $25,000/month. Here's what drives the price, why the gaps are so wide, and whether the investment pays off for your business.
— Richard Batt
MIT researchers tested 40+ AI models against 11,500 real US Labor Department tasks. The result: AI can already handle 65% of text-based work at acceptable quality. Here's what that means if you run a business: and it's not what the headlines say.
— Richard Batt
The headlines about Moltbook's "secret encrypted language" are manufactured panic. The real story is more practical: AI agents are now autonomous enough to create, interact, and move money. That changes what you deploy them on.
— Richard Batt
Kimi K2.5 costs $0.60 per million tokens. GPT-5.4 costs $10+. Six months ago, that gap didn't exist. This changes everything for small businesses, but only if you know which models actually make sense for your use case.
— Richard Batt
OpenClaw's marketplace had 12% of its registry compromised. Here's what happens when adoption outpaces governance: and what your business needs to do about it.
— Richard Batt
The scariest AI failures aren't dramatic. They're the ones that happen in the background, where a system slowly drifts from what you told it to do. I've seen this pattern 120+ times.
— Richard Batt
A structured assessment that identifies where AI and automation save time, cut costs, and generate revenue. Learn what's included, what it costs, and the ROI math that justifies the investment.
— Richard Batt
Global enterprises are spending $665 billion on AI, yet 3 out of 4 deployments fail to deliver ROI. The fix isn't better technology. It's the work no one wants to do.
— Richard Batt
Summer Yue, Meta's head of AI alignment, watched her OpenClaw agent delete 200+ emails while ignoring her stop commands. The agent didn't go rogue, it forgot her instructions. If it can happen to the person in charge of AI safety, it can happen to anyone. Here's what you need to prevent it.
— Richard Batt
Individual prompt skills do not scale. A shared prompt library does. Here is the step-by-step process for building, organising, and maintaining a prompt library that makes AI useful across your entire team.
— Richard Batt
AI tools are smart but they do not know your business. Retrieval-Augmented Generation (RAG) fixes that by feeding your documents, data, and knowledge into the AI at query time. Here is how it works and when it is worth building.
— Richard Batt
A single prompt handles one task. An AI agent handles a workflow, making decisions, using tools, and completing multi-step processes autonomously. Here is when to upgrade from prompts to agents, and when a prompt is still the right tool.
— Richard Batt
Tell AI to act as a senior financial analyst and the quality of financial analysis jumps measurably. Role prompting is the simplest technique that most teams use wrong. Here is how to do it properly.
— Richard Batt
You do not need to describe your exact requirements in words. Show the AI three examples of what good looks like, and it will match your standards on everything that follows. Here is how few-shot prompting works for real business tasks.
— Richard Batt
When AI gives you a recommendation without showing how it got there, you cannot trust it. Chain of thought prompting forces the AI to reason step by step and that changes everything for business decisions.
— Richard Batt
Most teams write prompts that produce random, inconsistent outputs. The CIRCRD framework, Context, Instruction, Relevance, Constraint, Demonstration, fixes that. Here is how to use it across your business.
— Richard Batt
87% of AI projects never make it to production. Most fail before a line of code is written. Here's your pre-flight checklist.
— Richard Batt
Automated systems without an owner break silently. Five principles of maintainable automation, plus a checklist.
— Richard Batt
Shadow AI costs most businesses thousands in wasted effort and risk. Here's the one-page policy template that actually works.
— Richard Batt
Most AI projects fail because companies treat it as plug-and-play tech. 80% of the work is redesigning how people actually work.
— Richard Batt
Five entry-level automations that ROI in one month. Under £50/month in tooling. Setup takes under 4 hours.
— Richard Batt
New data shows UK SMEs are adopting AI fast. But most are automating the wrong things first. Here's what actually works.
— Richard Batt
Zapier is fastest for simple integrations. Make connects AI to workflows. N8N runs the hardest problems. Here's how to pick.
— Richard Batt
AI consulting flooded with overnight vendors. Here are 8 red flags to spot hype and lock-in before you're stuck.
— Richard Batt
Gartner: 40% of agentic AI projects get cancelled by end 2027. The reasons are predictable. The solution is simpler than you think.
— Richard Batt
Effective AI adoption training takes 4-8 hours. Here's the one-day agenda that actually drives adoption.
— Richard Batt
68% of businesses already use AI. Your competitors are operating at 2-3x efficiency. Every month you wait costs more than the implementation itself.
— Richard Batt
80% of small business automation needs no developer. Five specific automations with step-by-step setup, tool recommendations, and time savings for each.
— Richard Batt
70% of AI projects fail because of bad data. Here's the 8-point checklist to fix it before you start.
— Richard Batt
40% of agentic AI projects fail. Most businesses should start with workflow automation. Here's how to know which path fits your operation.
— Richard Batt
Most business automations pay back in 30-90 days. Complex multi-process systems take 4-8 months. Here's the exact timeline, with real numbers from 120+ implementations.
— Richard Batt
Airbnb quietly deployed AI support across North America. It resolves 33% of tickets before a human ever sees them. Here is why their approach works when most chatbots fail.
— Richard Batt
Anthropic is now valued at $380 billion after a $30 billion raise. It has also softened elements of its safety framework. Here is why both of those things should concern you.
— Richard Batt
Character AI settled multiple lawsuits over teen suicides linked to its chatbots. This is the first wave. Here is what every company building with AI needs to understand about liability.
— Richard Batt
Figma partnered with OpenAI so designers can push designs directly to code and engineers can generate designs from their IDE. A week after partnering with Anthropic. Here is what this means.
— Richard Batt
Perplexity Computer breaks tasks into sub-agents running Claude, Gemini, Grok, and 16 other models in parallel. At $200 a month, it costs less than a day of human labour. Here is why this matters.
— Richard Batt
Being 5x faster with AI sounds great until your employer expects 5x the output. Here is how to turn AI productivity into career advancement, not burnout.
— Richard Batt
The AI side hustle market grew 28% in 2026. Most advice is rubbish. Here is what actually works, from someone who built a real consulting practice around AI.
— Richard Batt
PwC data shows AI-skilled workers earn 56% more than peers. That is more than double a year ago. Here is a practical roadmap to build AI skills that actually pay off.
— Richard Batt
AI job postings grew 88% year-on-year. You do not need a computer science degree. Here is the non-technical path into AI that is actually working in 2026.
— Richard Batt
LinkedIn research shows 93% of recruiters will increase AI use in 2026. Most professionals are invisible to these systems. Here is how to fix that.
— Richard Batt
The Journal of Accountancy reports AI is losing ground to human tax professionals. Not every service is ripe for AI disruption, here is how to tell the difference.
— Richard Batt
Researchers from the Center for AI Safety found leading AI models produce flawed results on actual work assignments. Here is the quality control framework every team needs.
— Richard Batt
Consulting firms have run on pyramids for decades, lots of juniors, few seniors. AI is inverting that model. Here is what the diamond-shaped future looks like.
— Richard Batt
If AI makes you 5x faster, charging by the hour penalises your own efficiency. Here is the pricing model shift every consultant and agency needs to consider.
— Richard Batt
Google and Ipsos found only 5% of workers qualify as AI fluent. Walmart is training 1.6 million instead of replacing them. Here is a training programme that produces results.
— Richard Batt
The AI infrastructure buildout dwarfs anything since the internet. Here is what the $600 billion compute race means for pricing, vendor lock-in, and your AI strategy.
— Richard Batt
Perplexity is dropping ads while ChatGPT adds them. Anthropic mocked AI ads at the Super Bowl. The AI business model divide is the biggest strategic split in the industry.
— Richard Batt
ByteDance's AI video tool went viral generating celebrity and character videos. Disney and Paramount sent cease-and-desists. Here is the IP crisis every business needs to understand.
— Richard Batt
Spotify's CEO confirmed senior engineers now supervise AI output instead of coding. After 120+ projects, here is what this shift actually looks like in practice.
— Richard Batt
WordPress launched native AI for editing, image generation, and page building. This is not news about WordPress, it is a signal about where every software platform is heading.
— Richard Batt
Gartner predicts agentic AI will hit the trough like GenAI did. The market is real but overhyped. Here is what actually matters and who will win.
— Richard Batt
When agents act autonomously, who is responsible? Richard unpacks the accountability framework that protects your organization from liability.
— Richard Batt
Thryv data shows small businesses save 20+ hours/month with AI. ROI from 300% to 1000%. Here is the framework for picking the right processes and tools.
— Richard Batt
The AI bubble debate is everywhere. I have seen what works on the ground. Most AI value comes from boring automation, not revolutionary AI. Here is the reality.
— Richard Batt
Case studies show 30-50% CSAT improvements and 70% cost reduction. Richard's playbook for chatbots that delight customers.
— Richard Batt
61% admit data is not ready for GenAI. Richard's practical data readiness checklist fixes the foundational problem.
— Richard Batt
PwC data shows 88% increasing AI spending. Richard's executive literacy framework ensures money actually creates value.
— Richard Batt
Law, accounting, consulting, architecture, professional services are being transformed by AI. Richard's roadmap for the transition.
— Richard Batt
Gartner warns 40%+ of agentic AI projects at risk without governance. Most governance frameworks are unreadable. Here is one that actually works.
— Richard Batt
Multimodal AI processes images, video, audio, and text simultaneously. Here are the real business applications that work today.
— Richard Batt
Workers are anxious about AI. WEF estimates 85M jobs displaced by 2026. But I have run 120+ automation projects. The reality is far more nuanced than the headlines suggest.
— Richard Batt
Agentic search is here. Traditional SEO still matters, but you need AI visibility too. Here is what SEO looks like in 2026.
— Richard Batt
AI job postings skyrocketed 1000% between 2023-2024. Here is my practical guide for hiring AI talent when only 5% of workers are truly AI fluent.
— Richard Batt
Most business problems are process problems, not intelligence problems. Richard's workflow audit framework solves 80% with no AI.
— Richard Batt
46% cite legacy integration as the primary challenge. 60% of AI leaders say it is the top barrier. Here is how to fix it without replacing everything.
— Richard Batt
Model Context Protocol is the USB-C of AI. 97M monthly SDK downloads, adopted by OpenAI, Google, and Microsoft. Here is what business leaders need to know.
— Richard Batt
Modern no-code AI tools can save £45K per employee annually. Here is the stack that works and when you actually need developers.
— Richard Batt
Consumers search AI platforms, Reddit, YouTube, forums. Brand reputation affects AI recommendations. Richard's distribution framework.
— Richard Batt
Claude Opus 4.6 Thinking is #1 on Text Arena. These models reason through problems and produce dramatically better results. Here is when to use them.
— Richard Batt
Gartner predicts 30% of AI projects will fail. I have seen this pattern 100+ times. Here is why it happens and how to ensure your AI pilot survives.
— Richard Batt
OpenClaw, Cowork, and Codex agents want broad permissions to your data. Cisco found OpenClaw skills exfiltrating data.
— Richard Batt
When Anthropic launched Claude Cowork, institutional investors ran the numbers and realized the SaaS model had an expiration date. A $285 billion selloff wasn't panic, it was clarity.
— Richard Batt
Most people have too many AI tools. Richards framework for choosing: What tasks do you repeat? Does the agent actually DO things or just chat? Does it...
— Richard Batt
Claude Cowork brings autonomous workflow capabilities to non-technical teams. The $285B stock selloff shows the market takes this seriously. Here's a practical guide to getting started.
— Richard Batt
I spent a week running real client work through both Claude Cowork and OpenAI Codex. The verdict isn't what you'd expect. They're not actually competing, they solve different problems.
— Richard Batt
GPT-5.3-Codex multi-agent collaboration feature lets agents work in parallel with explorer roles and guardrails. Here is my actual setup for code review, testing, and deployment.
— Richard Batt
The 1M token context window is the real story, not benchmarks. Here are the actual enterprise use cases that become possible when your AI can hold entire codebases and massive documents in memory.
— Richard Batt
Google's Gemini 3.1 Pro scored 77.1% on ARC-AGI-2, crushing GPT-5.2 by 24 points. But does that tell you anything useful about whether you should use it? Not really.
— Richard Batt
Forget benchmarks. The real comparison for business leaders is pricing, integration ecosystem, reliability, data privacy, and output quality. Here's what matters for your decision.
— Richard Batt
OpenAI disclosed that GPT-5.3-Codex was instrumental in creating itself. It debugged its own training, optimized its own architecture, and managed its own...
— Richard Batt
Peter Steinberger joining OpenAI on Valentine Day 2026 sent shockwaves. OpenClaw moving to an independent foundation. What does this pattern mean for businesses building on open-source AI?
— Richard Batt
OpenClaw went from a weekend project to 300K-400K users because it does things, not just talks. That shift from chatbots to autonomous agents is the real story of AI's next decade.
— Richard Batt
OpenClaw has 60K+ GitHub stars and is reshaping how we think about open-source AI agents. But Cisco found critical security flaws. Here's what consultants need to know before deploying it.
— Richard Batt
OpenClaw's approach to AI agent personalization is radical in its simplicity: write a markdown file describing how your agent should behave. SOUL.
— Richard Batt
Comprehensive comparison of the four major AI agents in 2026. OpenClaw, Cowork, Codex, and Gemini 3.1 Pro all do different things. Here is which one fits which workflow.
— Richard Batt
My personal recommendations for combining coding agents, AI assistants, image tools, and automation platforms into a coherent workflow for a small consultancy.
— Richard Batt
A developer-focused honest review of using AI for code review. What it catches, what it misses, and why human reviewers aren't going anywhere.
— Richard Batt
Affordable approaches to monitoring competitors, summarising market trends, and tracking positioning changes using AI tools you probably already have.
— Richard Batt
How to use AI to generate narrative summaries from dashboards and spreadsheets that leadership teams actually engage with instead of ignoring.
— Richard Batt
A practical workflow for turning meeting recordings into structured outputs that integrate with project management tools. No more lost action items.
— Richard Batt
A curated guide to the newsletters, podcasts, and feeds that actually help you stay informed about AI, without spending 3 hours a day reading hype.
— Richard Batt
Template-driven guide covering acceptable use, data handling, vendor evaluation, and escalation paths. A practical AI policy, not a 60-page document nobody reads.
— Richard Batt
The pre-automation assessment most companies skip. Here's the workflow mapping framework that separates successful automation from expensive failures.
— Richard Batt
A detailed walkthrough of automating welcome emails, document collection, CRM updates, and kick-off scheduling. The onboarding workflow that saves 15 hours weekly.
— Richard Batt
The anxiety is wrong. In 120+ projects, automation has never been about cutting headcount. It's about freeing people for work that actually matters.
— Richard Batt
Error handling, fallback logic, and human-in-the-loop design for production AI systems. The engineering that separates demos from real deployments.
— Richard Batt
A practical, sequential walkthrough from process mapping to prioritisation to implementation. The roadmap framework that's worked across 120+ projects.
— Richard Batt
Code quality, testing, documentation, and monitoring for automation scripts that need to run reliably for years. The engineering rigour most automations lack.
— Richard Batt
Bridge the gap between 'that's an ops problem' and 'this affects our velocity.' Engineering teams that embrace process automation ship faster.
— Richard Batt
Post-Brexit doesn't mean post-regulation. If you serve EU clients or process EU data, the AI Act applies to you. Here's what UK businesses need to know.
— Richard Batt
Data silos and manual data transfer between tools cost more than most teams realise. The integration tax is the hidden drain on your operations.
— Richard Batt
Vendor lock-in is the hidden cost of proprietary AI tools. The smartest teams are building model-agnostic, and here's why you should too.
— Richard Batt
Companies with clear AI principles are winning talent and contracts. The business case for responsible AI is stronger than the ethical one.
— Richard Batt
The journey from Excel-driven operations to automated workflows doesn't require a complete overhaul. Here's the phased approach that actually works.
— Richard Batt
AI coding agents aren't just for developers anymore. They're productivity tools for non-coders, automating reports, data analysis, and file processing.
— Richard Batt
A 1-million-token context window lets you load an entire book, a year of transcripts, or your full codebase into a single API call. But should you? Here's the practical guide.
— Richard Batt
You don't need just one model. The right multi-model strategy routes simple tasks to Sonnet, complex reasoning to Opus, and specialized coding to Codex: saving money while improving performance.
— Richard Batt
Anthropic's detailed safety analysis of Claude Opus 4.6 reveals uncomfortable truths about model behaviour during deployment. Here's what your team needs to know before adopting it.
— Richard Batt
Agent teams aren't just parallel processing. They're actual task decomposition with inter-agent communication.
— Richard Batt
OpenAI's Codex-Spark prioritizes speed over raw intelligence. That's the right call: and it signals where the entire industry is heading.
— Richard Batt
Four frontier models launched in 18 days. Your AI strategy just got shorter. Here's what changed and what you need to do this quarter.
— Richard Batt
OpenAI classified GPT-5.3-Codex as high-risk for cybersecurity capabilities: a first for any model. What the red team found, how OpenAI is controlling it, and what it means for your infrastructure.
— Richard Batt
The best AI strategy isn't picking the best model: it's routing the right task to the right model. Here's the framework that saves 40% on AI spend while improving output quality.
— Richard Batt
Benchmarks don't tell the whole story. The safety data reveals why Sonnet 4.6 may be the better choice for autonomous agents in real-world environments, despite Opus 4.6's higher raw capability.
— Richard Batt
After running identical tasks through both models, I discovered Sonnet 4.6 delivers startling cost-performance advantages for most business work: but Opus still owns the complex reasoning game.
— Richard Batt
Common anti-patterns: over-engineered flows, poor error handling, missing monitoring.
— Richard Batt
Redesigning work, change management, and process thinking account for most of the ROI from AI.
— Richard Batt
Gartner moved AI agents into the trough in early 2026. Error rates are still too high for most business processes, but this is actually where smart companies start building.
— Richard Batt
Three years ago, SEO was supposedly dead. Here's what actually happened, what didn't, and how to win with search in an AI-dominated landscape.
— Richard Batt
A UC Berkeley study found AI users are burning out fastest. AI doesn't reduce work: it intensifies it. Here's what leaders need to know.
— Richard Batt
Small businesses can implement AI faster than enterprises. Here's what actually delivers ROI and when to skip it.
— Richard Batt
Over 50% of long-form LinkedIn content is AI-generated. Audiences know it. In 2026, authenticity is your actual competitive advantage.
— Richard Batt
A practical guide to using AI for content without ending up with mediocre garbage. Here's the workflow that actually works.
— Richard Batt
Law firms, accountancies, and agencies are sleeping on internal AI automation. Here's what they're leaving on the table and how to actually use it.
— Richard Batt
Most companies don't need (and can't afford) a CAIO. Here's a lightweight governance framework that actually works for mid-market teams.
— Richard Batt
A self-assessment framework to gauge whether your company is experimenting, scaling, or stuck with AI.
— Richard Batt
How to route, summarize, and draft support responses with AI while keeping agents in the loop.
— Richard Batt
Why most AI roadmaps fail, and the practical framework that actually drives implementation.
— Richard Batt
PYMNTS survey shows massive demand for AI shopping agents, but consumers won't let them act autonomously. The trust gap is the real frontier.
— Richard Batt
A clear decision framework for when no-code tools are enough vs. when you need a developer-built solution.
— Richard Batt
Everyone wants to see the flashy AI demo. Smart companies start with workflow documentation and process mapping. Here's why.
— Richard Batt
A practical guide to the tools that actually work for business automation in 2026, without the hype and with real pricing.
— Richard Batt
OpenAI tested ads in ChatGPT in February 2026 on Free and Go tiers using conversation-context targeting. Here's what it means for your business.
— Richard Batt
ChatGPT isn't just for creators anymore. Here's exactly how business teams use it to get work done faster.
— Richard Batt
MiniMax M2.5 and Chinese open-source models are forcing a reckoning with AI pricing. Here's how to evaluate cost versus quality for your enterprise.
— Richard Batt
Cowork brings Claude's agentic capabilities to knowledge work-documents, research, file management. Here's how I'm using it to reclaim hours each week.
— Richard Batt
How AI transformed email marketing from a good channel into a predictive, personalized powerhouse. Here's what actually works and where to invest.
— Richard Batt
January 2026: formal proceedings against X over Grok, Meta investigation, AI Act enforcement begins. This is real. Your compliance timeline is now.
— Richard Batt
A repeatable checklist for cutting through hype and figuring out if an AI tool actually works for you. Five categories. Fifteen minutes. Real clarity.
— Richard Batt
In January 2026, Grok's Aurora image model generated 3M sexualised deepfakes in two weeks. Here's what this crisis teaches every business about AI governance.
— Richard Batt
The risks are real. The benefits are real. Here's a practitioner's honest take on where AI actually stands in 2026.
— Richard Batt
A case-study walking through an end-to-end hyperautomation deployment across departments.
— Richard Batt
OpenClaw went viral and created a genuine hardware shortage. What this tells us about AI adoption curves and infrastructure constraints.
— Richard Batt
The fundamentals of good mentoring remain the same, but the focus shifts dramatically when your junior developers can generate code before they understand it.
— Richard Batt
Break down the emerging pattern of orchestrating multiple AI agents for complex, multi-step business processes.
— Richard Batt
Perplexity's Model Council runs Claude, GPT, and Gemini in parallel to cross-validate answers. This is the future. Here's how to implement it.
— Richard Batt
Six trends that will reshape how companies build and deploy AI-and what you need to do now to stay ahead.
— Richard Batt
A personal experiment using Claude Code as the primary development environment. Honest about trade-offs.
— Richard Batt
Three years ago, nobody knew what to hire for AI. Now I do this every week. Here's how an entire consulting category emerged overnight.
— Richard Batt
Three years after ChatGPT changed everything, where are we really on the path to Artificial General Intelligence? Here's what the hype got right and what it got terribly wrong.
— Richard Batt
AI consulting is a legitimate career path now. Here's exactly how to build it, what to charge, and the hard parts nobody talks about.
— Richard Batt
AT&T's CIO called it right, fine-tuned small language models are the real 2026 story. Edge AI, privacy, and 10-50x cost savings are making SLMs the smart play.
— Richard Batt
Fine-tuned small models outperform general-purpose LLMs for specific business workflows while costing 10-50x less.
— Richard Batt
GenAI is in the trough. What that means practically, and what the companies succeeding are doing differently.
— Richard Batt
Claude is more than a writing tool. Here's how smart businesses use it for analysis, automation, and decision-making in 2026.
— Richard Batt
Cut through the hype. Here's what agentic AI actually does, where it creates real value for ops, and why governance matters.
— Richard Batt
A head-to-head comparison of three leading AI coding agents. Which one actually helps you ship code faster?
— Richard Batt
The three leading AI image generators face off. Which one should you actually be using for production work?
— Richard Batt
The viral personal AI agent that crashed macOS adoption and exposed serious vulnerabilities. What it reveals about the AI agent market.
— Richard Batt
87% of AI projects never reach production. Here's what separates winning AI pilots from expensive experiments.
— Richard Batt
AI isn't eliminating jobs: it's changing them. The real competitive threat isn't automation, it's competitors whose teams use it better.
— Richard Batt
Most companies don't know the true cost of manual processes. Here's the framework to measure it and build an ROI case for automation.
— Richard Batt
Google's Veo 3 changes the game for AI video. Here's what it can do, where it works for business, and how it compares to competitors.
— Richard Batt
The honest answers to the five questions every CEO asks about AI: Are we behind? Where do we start? How much will it cost? What about risk? When's the ROI?
— Richard Batt
A practical checklist of 7 critical automations for SaaS operations. Implement these and watch your operational efficiency transform.
— Richard Batt
A practical method for identifying automation opportunities that reduce cycle time without adding tool sprawl.
— Richard Batt
Learn to secure your personal AI agent setup with API key management, permission scoping, and sandboxing best practices.
— Richard Batt
A consultant's honest review of AI tools that actually make work faster: and which ones I stopped using.
— Richard Batt
Master prompt engineering without technical expertise. Learn templates and techniques to get better AI results for common business tasks.
— Richard Batt
Discover automation debt: the silent drain of manual processes that should have been automated years ago.
— Richard Batt
Deploy an AI-powered Q&A system over your company documents using RAG. Start with one department's FAQ.
— Richard Batt
Seven hard-won lessons from delivering 120+ automation and AI projects that separate long-term wins from expensive failures.
— Richard Batt
Employees are pasting proprietary data into unapproved AI tools daily. Here's what's at stake and how to regain control.
— Richard Batt
The best consulting recommendations sometimes require turning down work. Here's how to know when an organization isn't ready.
— Richard Batt
How to structure routing, data loading, and components so teams can ship quickly as the app grows.
— Richard Batt
A comprehensive comparison of Claude Code, GitHub Copilot, Cursor, Aider, and others to help you choose the right AI coding agent.
— Richard Batt
Bold predictions on enterprise AI adoption, governance, regulations, and the roles that will emerge as the technology matures.
— Richard Batt
A delivery-focused approach to introducing AI where it saves real time and avoids fragile workflows.
— Richard Batt
Communication patterns and implementation checkpoints that keep stakeholders aligned from week one.
— Richard Batt
Turn repetitive manual actions into dependable API-driven workflows with monitoring and safe retries.
— Richard Batt
A concise checklist for architecture, deployment, and observability issues that commonly block scale.
— Richard Batt
How to prioritize quick wins while creating a roadmap your team can realistically execute.
— Richard Batt
Simple operating patterns that reduce bottlenecks between product, engineering, and operations.