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    <title>ivector Blog</title>
    <link>https://www.ivector.co/blog</link>
    <description>Research-backed articles on AI, software and the industries they're reshaping.</description>
    <language>en</language>
    <item>
      <title>The ADMT definition never says AI. It does say spreadsheets.</title>
      <link>https://www.ivector.co/blog/what-counts-as-admt</link>
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      <pubDate>Tue, 11 Aug 2026 09:00:00 GMT</pubDate>
      <category>Regulation</category>
      <description>California's ADMT definition never mentions AI. It turns on whether a system replaces human decisionmaking, which is why most scoping passes miss things.</description>
    </item>
    <item>
      <title>Job postings are recovering. Senior AI engineers are the only ones feeling it.</title>
      <link>https://www.ivector.co/blog/senior-ai-engineer-hiring-market-2026</link>
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      <pubDate>Mon, 10 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Software job postings are recovering, but 71% of the growth is senior roles and 37% mention AI in the title. The market got tighter, not easier.</description>
    </item>
    <item>
      <title>How to tell when your software has become the bottleneck</title>
      <link>https://www.ivector.co/blog/when-it-becomes-the-bottleneck</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/when-it-becomes-the-bottleneck</guid>
      <pubDate>Sun, 09 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Growth rarely stalls because demand dried up. It stalls because the systems behind the work stopped keeping pace. Five symptoms you can check this week.</description>
    </item>
    <item>
      <title>Handing software to someone else without losing control of it</title>
      <link>https://www.ivector.co/blog/offloading-software-to-focus-on-your-business</link>
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      <pubDate>Sat, 08 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>The fear is not cost, it is dependency. Four things to keep in your own name, and the handover terms that decide whether you can ever leave.</description>
    </item>
    <item>
      <title>Building the pre-use notice and opt-out an AI decision needs</title>
      <link>https://www.ivector.co/blog/building-a-pre-use-notice-and-opt-out</link>
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      <pubDate>Fri, 07 Aug 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>California requires a notice before an automated decision and a way to refuse it. Here is what that looks like as components, states and edge cases.</description>
    </item>
    <item>
      <title>The economics of white-label development, from both sides</title>
      <link>https://www.ivector.co/blog/white-label-development-economics</link>
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      <pubDate>Thu, 06 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Agencies subcontract constantly and rarely discuss the numbers. Here is how the markup works, where it goes wrong, and what a fair arrangement looks like.</description>
    </item>
    <item>
      <title>The first week with an embedded engineer, done properly</title>
      <link>https://www.ivector.co/blog/onboarding-an-embedded-engineer</link>
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      <pubDate>Wed, 05 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Staff augmentation succeeds or fails in week one. What to prepare before they start, what to give them on day one, and what to measure by Friday.</description>
    </item>
    <item>
      <title>How to vet a development partner with a global team</title>
      <link>https://www.ivector.co/blog/vetting-a-global-development-partner</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/vetting-a-global-development-partner</guid>
      <pubDate>Tue, 04 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Offshore delivery is normal now. The questions that separate a good partner from an expensive lesson are about data, contracts and overlap hours.</description>
    </item>
    <item>
      <title>How to build an audit trail for AI decisions</title>
      <link>https://www.ivector.co/blog/audit-trail-for-ai-decisions</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/audit-trail-for-ai-decisions</guid>
      <pubDate>Tue, 04 Aug 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>A model output in a database column is not an audit trail. Here is what to record at the moment of the decision, and what teams usually leave out.</description>
    </item>
    <item>
      <title>California's ADMT rules: what your engineering team actually has to build</title>
      <link>https://www.ivector.co/blog/california-admt-compliance-engineering</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/california-admt-compliance-engineering</guid>
      <pubDate>Tue, 04 Aug 2026 09:00:00 GMT</pubDate>
      <category>Regulation</category>
      <description>California's automated decision rules bite on 1 January 2027. Most of the work is not legal drafting. It is four things engineers have to build first.</description>
    </item>
    <item>
      <title>Small business AI adoption hit 78% in 2026: what's actually working</title>
      <link>https://www.ivector.co/blog/small-business-ai-adoption-2026</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/small-business-ai-adoption-2026</guid>
      <pubDate>Tue, 04 Aug 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>Small business AI use jumped from 48% to 78% in under two years. The real story is who is using it and who is genuinely gaining.</description>
    </item>
    <item>
      <title>The 47-day req: what an open senior engineering seat actually costs</title>
      <link>https://www.ivector.co/blog/cost-of-open-senior-engineering-role</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/cost-of-open-senior-engineering-role</guid>
      <pubDate>Tue, 04 Aug 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>A senior engineering req takes 47 days to reach an accepted offer, and about a quarter to reach a productive engineer. The empty seat is the real cost.</description>
    </item>
    <item>
      <title>How long does it take to build an MVP? A realistic 2026 timeline</title>
      <link>https://www.ivector.co/blog/how-long-to-build-an-mvp</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/how-long-to-build-an-mvp</guid>
      <pubDate>Sat, 27 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Most MVPs ship in 8 to 16 weeks, but the range hides what actually drives the number. Here is a realistic breakdown of where the time goes and what shortens it.</description>
    </item>
    <item>
      <title>“Attention Is All You Need”, explained for non-engineers</title>
      <link>https://www.ivector.co/blog/transformers-explained</link>
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      <pubDate>Sat, 27 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>The 2017 paper behind every modern AI model is famously dense. Here is what it actually proposed, and why it changed everything, in plain language.</description>
    </item>
    <item>
      <title>How to choose a software development partner in 2026 (a buyer’s checklist)</title>
      <link>https://www.ivector.co/blog/choosing-software-development-partner</link>
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      <pubDate>Sat, 27 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>Most software projects run over budget, and a wrong vendor choice is expensive to unwind. Here is the checklist serious buyers use before signing anything.</description>
    </item>
    <item>
      <title>Chinchilla and the scaling laws: why bigger models aren’t always better</title>
      <link>https://www.ivector.co/blog/scaling-laws-chinchilla</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/scaling-laws-chinchilla</guid>
      <pubDate>Fri, 26 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>A 2022 DeepMind paper showed most large models were the wrong shape: too big, trained on too little data. It reshaped how every model since has been built.</description>
    </item>
    <item>
      <title>What custom software actually costs in 2026, and why quotes vary 10×</title>
      <link>https://www.ivector.co/blog/software-development-cost-2026</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/software-development-cost-2026</guid>
      <pubDate>Fri, 26 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>The same project can be quoted at $40k or $400k. What drives the spread, what you are really paying for, and how to compare quotes without getting burned.</description>
    </item>
    <item>
      <title>The state of enterprise AI in 2025: what the reports actually say</title>
      <link>https://www.ivector.co/blog/state-of-enterprise-ai-2025</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/state-of-enterprise-ai-2025</guid>
      <pubDate>Fri, 26 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>Stanford, McKinsey and MIT all published 2025 data on enterprise AI. Read together, they tell one story: near-universal adoption, almost no measurable return.</description>
    </item>
    <item>
      <title>How much does it cost to build a mobile app in 2026?</title>
      <link>https://www.ivector.co/blog/cost-to-build-a-mobile-app-2026</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/cost-to-build-a-mobile-app-2026</guid>
      <pubDate>Thu, 25 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>A simple app costs tens of thousands; a complex one runs into the hundreds. The useful question is not the number but what drives it, and what you can cut.</description>
    </item>
    <item>
      <title>The paper that introduced RAG, explained simply</title>
      <link>https://www.ivector.co/blog/rag-paper-explained</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/rag-paper-explained</guid>
      <pubDate>Thu, 25 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>Retrieval-augmented generation is how most companies put their own data into an AI product. A 2020 paper named the idea. Here is what it proposed.</description>
    </item>
    <item>
      <title>Fixed-price vs time-and-materials vs dedicated team: which engagement model fits</title>
      <link>https://www.ivector.co/blog/engagement-models-fixed-vs-dedicated</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/engagement-models-fixed-vs-dedicated</guid>
      <pubDate>Thu, 25 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>The contract model you pick changes who carries the risk, how fast you can adapt, and what you ultimately pay. A plain-English guide to choosing the right one.</description>
    </item>
    <item>
      <title>Chain-of-thought: the paper that taught models to “show their work”</title>
      <link>https://www.ivector.co/blog/chain-of-thought-explained</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/chain-of-thought-explained</guid>
      <pubDate>Wed, 24 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>A 2022 paper found that simply asking a model to reason step by step made it dramatically better at hard problems. It is the root of today’s “reasoning” models.</description>
    </item>
    <item>
      <title>The agentic AI reality check: Gartner’s numbers cut both ways</title>
      <link>https://www.ivector.co/blog/agentic-ai-reality-check</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/agentic-ai-reality-check</guid>
      <pubDate>Wed, 24 Jun 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>AI agents are the headline of 2025–26. Gartner’s forecasts show explosive adoption alongside a 40% project cancellation rate. Both are true.</description>
    </item>
    <item>
      <title>How to run an AI proof-of-concept that doesn’t waste money</title>
      <link>https://www.ivector.co/blog/ai-proof-of-concept-guide</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-proof-of-concept-guide</guid>
      <pubDate>Tue, 23 Jun 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>Most AI proofs-of-concept fail because nobody defined success before starting, not because the model cannot do the job. How to run one that earns its budget.</description>
    </item>
    <item>
      <title>Do “reasoning” models actually reason? What Apple’s GSM-Symbolic paper found</title>
      <link>https://www.ivector.co/blog/do-reasoning-models-reason</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/do-reasoning-models-reason</guid>
      <pubDate>Tue, 23 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>A 2024 Apple study probed whether top models truly reason or pattern-match. Changing the numbers in a maths problem made accuracy drop.</description>
    </item>
    <item>
      <title>In-house vs outsourced development: the real 2026 cost comparison</title>
      <link>https://www.ivector.co/blog/in-house-vs-outsourced-development-cost</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/in-house-vs-outsourced-development-cost</guid>
      <pubDate>Tue, 23 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>A developer's salary is the smallest part of the bill. Add recruiting, ramp-up, benefits and the risk of a bad hire, and the in-house-vs-partner maths shifts.</description>
    </item>
    <item>
      <title>The AI cost curve: cheap to start, expensive to keep</title>
      <link>https://www.ivector.co/blog/the-ai-cost-curve</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/the-ai-cost-curve</guid>
      <pubDate>Mon, 22 Jun 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>Inference got 280× cheaper in 18 months, so why do most AI projects lose money? The cost isn’t in starting. It’s in everything after.</description>
    </item>
    <item>
      <title>RAG or fine-tuning: which does your use case actually need?</title>
      <link>https://www.ivector.co/blog/rag-or-fine-tuning-decision</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/rag-or-fine-tuning-decision</guid>
      <pubDate>Sun, 21 Jun 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>The two get pitched as rivals but solve different problems. RAG gives a model knowledge it lacks; fine-tuning teaches behaviour. How to tell which you need.</description>
    </item>
    <item>
      <title>The METR study, explained: why AI made experienced developers slower</title>
      <link>https://www.ivector.co/blog/metr-developer-study-explained</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/metr-developer-study-explained</guid>
      <pubDate>Sun, 21 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research Papers</category>
      <description>A 2025 randomised trial found seasoned developers were 19% slower with AI tools, yet believed they were faster. That gap is the real finding.</description>
    </item>
    <item>
      <title>12 questions to ask before hiring an AI development company</title>
      <link>https://www.ivector.co/blog/questions-before-hiring-ai-development-company</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/questions-before-hiring-ai-development-company</guid>
      <pubDate>Sun, 21 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>95% of enterprise AI pilots show no measurable return. These are the questions that separate a partner who will ship value from one who will sell you a demo.</description>
    </item>
    <item>
      <title>Does AI actually make developers faster? What the evidence says</title>
      <link>https://www.ivector.co/blog/does-ai-make-developers-faster</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/does-ai-make-developers-faster</guid>
      <pubDate>Sat, 20 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>A randomised trial found AI tools made experienced developers 19% slower, while they believed they were 20% faster. The perception gap is the real story.</description>
    </item>
    <item>
      <title>How to write a software development RFP (with a checklist)</title>
      <link>https://www.ivector.co/blog/software-development-rfp-guide</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/software-development-rfp-guide</guid>
      <pubDate>Fri, 19 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>A good RFP gets you comparable, honest bids and filters out the wrong vendors early. A vague one gets you a pile of guesses. How to write the first kind.</description>
    </item>
    <item>
      <title>Why “has worked with enterprises” should weigh heavily when you pick a vendor</title>
      <link>https://www.ivector.co/blog/enterprise-experience-vendor-selection</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/enterprise-experience-vendor-selection</guid>
      <pubDate>Fri, 19 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>A team that has delivered for Microsoft or Google has survived reviews, scale and scrutiny most projects never reach. Why that matters on small projects too.</description>
    </item>
    <item>
      <title>AI now powers most cyberattacks: what the 2025 data shows</title>
      <link>https://www.ivector.co/blog/ai-in-most-cyberattacks</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-most-cyberattacks</guid>
      <pubDate>Thu, 18 Jun 2026 09:00:00 GMT</pubDate>
      <category>Security</category>
      <description>AI-generated phishing converts 4.5× better than human attempts, deepfake incidents are up 680%, and most attacks now use AI. The defensive bar just moved.</description>
    </item>
    <item>
      <title>Signs you’ve outgrown your current dev agency</title>
      <link>https://www.ivector.co/blog/signs-youve-outgrown-your-dev-agency</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/signs-youve-outgrown-your-dev-agency</guid>
      <pubDate>Wed, 17 Jun 2026 09:00:00 GMT</pubDate>
      <category>Hiring &amp; Pricing</category>
      <description>The agency that built your first product is not always the one to scale it. The honest signals that the relationship has stopped serving you, and how to act.</description>
    </item>
    <item>
      <title>Designing trustworthy AI interfaces: what the UX research says</title>
      <link>https://www.ivector.co/blog/designing-trustworthy-ai-interfaces</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/designing-trustworthy-ai-interfaces</guid>
      <pubDate>Wed, 17 Jun 2026 09:00:00 GMT</pubDate>
      <category>Design</category>
      <description>AI features fail less on the model than on the interface around it. The usability research points to patterns that earn user trust, and some that destroy it.</description>
    </item>
    <item>
      <title>The EU AI Act is live: what the deadlines actually require</title>
      <link>https://www.ivector.co/blog/eu-ai-act-deadlines</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/eu-ai-act-deadlines</guid>
      <pubDate>Tue, 16 Jun 2026 09:00:00 GMT</pubDate>
      <category>Regulation</category>
      <description>Prohibited-use bans and GPAI rules are already in force, with fines up to 7% of global turnover. Here’s the timeline every team shipping AI should know.</description>
    </item>
    <item>
      <title>AI in customer service: what “65% resolved without a human” really means</title>
      <link>https://www.ivector.co/blog/ai-customer-service-reality</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-customer-service-reality</guid>
      <pubDate>Sun, 14 Jun 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>AI is genuinely landing in support, with measurable productivity gains and rising auto-resolution. But the gap between deploying and operationalising is wide.</description>
    </item>
    <item>
      <title>AI in banking: $120B saved, yet only 4 of the top 50 banks see ROI</title>
      <link>https://www.ivector.co/blog/ai-in-banking-roi-gap</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-banking-roi-gap</guid>
      <pubDate>Fri, 12 Jun 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Banks adopted AI faster than almost anyone, especially for fraud. The savings are huge in aggregate, but realised ROI at the firm level is rare.</description>
    </item>
    <item>
      <title>What AI is doing to entry-level jobs: the early evidence</title>
      <link>https://www.ivector.co/blog/ai-and-entry-level-jobs</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-and-entry-level-jobs</guid>
      <pubDate>Wed, 10 Jun 2026 09:00:00 GMT</pubDate>
      <category>Workplace</category>
      <description>The clearest labour-market signal so far isn’t mass layoffs. It’s a quiet drop in junior hiring at firms that adopt AI. The data is nuanced.</description>
    </item>
    <item>
      <title>AI’s energy bill: the cost nobody prices into the pilot</title>
      <link>https://www.ivector.co/blog/ai-energy-bill</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-energy-bill</guid>
      <pubDate>Mon, 08 Jun 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>The IEA projects AI will more than quadruple data-centre electricity demand by 2030. For builders, efficiency is now a cost discipline, not just a green one.</description>
    </item>
    <item>
      <title>AI in healthcare by the numbers: 1,250 cleared devices and counting</title>
      <link>https://www.ivector.co/blog/ai-in-healthcare-by-the-numbers</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-healthcare-by-the-numbers</guid>
      <pubDate>Sat, 06 Jun 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Healthcare is where AI progress is easiest to count, because every tool clears a regulator. The FDA list shows a 350% jump in five years, and a design lesson.</description>
    </item>
    <item>
      <title>Inference got 280× cheaper in 18 months. Here’s what it unlocks</title>
      <link>https://www.ivector.co/blog/inference-got-cheaper</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/inference-got-cheaper</guid>
      <pubDate>Thu, 04 Jun 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>The collapsing cost of running models is the most underrated story in AI. It changes which products are viable, and which moats disappear.</description>
    </item>
    <item>
      <title>Small language models: when smaller is smarter</title>
      <link>https://www.ivector.co/blog/small-language-models</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/small-language-models</guid>
      <pubDate>Tue, 02 Jun 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>The biggest model isn’t usually the right one. Efficiency gains mean small, specialised models now win on cost, speed, privacy, and often quality.</description>
    </item>
    <item>
      <title>AI incidents rose 56% in a year. The safety gap is widening</title>
      <link>https://www.ivector.co/blog/ai-incidents-safety-gap</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-incidents-safety-gap</guid>
      <pubDate>Sat, 30 May 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>Capability is racing ahead of responsibility. Reported AI incidents hit a record high in 2024, even as standardised safety evaluation lags behind.</description>
    </item>
    <item>
      <title>RAG vs fine-tuning: which one do you actually need?</title>
      <link>https://www.ivector.co/blog/rag-vs-fine-tuning</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/rag-vs-fine-tuning</guid>
      <pubDate>Thu, 28 May 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>Two ways to make a model know your domain, and most teams reach for the harder one first. A practical guide to choosing.</description>
    </item>
    <item>
      <title>If you can’t measure it, you can’t maintain it: evals for AI features</title>
      <link>https://www.ivector.co/blog/eval-harness-for-llm-features</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/eval-harness-for-llm-features</guid>
      <pubDate>Tue, 26 May 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>The single discipline that separates AI pilots that reach production from the 95% that don’t is evaluation. Here’s how to build it.</description>
    </item>
    <item>
      <title>Why your AI agent keeps failing in production</title>
      <link>https://www.ivector.co/blog/why-ai-agents-fail-in-production</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/why-ai-agents-fail-in-production</guid>
      <pubDate>Sun, 24 May 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>Gartner expects 40% of agentic AI projects to be cancelled by 2027. The reasons are predictable, and avoidable.</description>
    </item>
    <item>
      <title>Prompt injection: the attack surface you ship with every AI feature</title>
      <link>https://www.ivector.co/blog/prompt-injection-attack-surface</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/prompt-injection-attack-surface</guid>
      <pubDate>Fri, 22 May 2026 09:00:00 GMT</pubDate>
      <category>Security</category>
      <description>The moment your model reads untrusted input, that input can carry instructions. Why prompt injection is AI’s defining security problem.</description>
    </item>
    <item>
      <title>Designing for AI: UX when the answer isn’t certain</title>
      <link>https://www.ivector.co/blog/designing-for-ai-ux</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/designing-for-ai-ux</guid>
      <pubDate>Wed, 20 May 2026 09:00:00 GMT</pubDate>
      <category>Design</category>
      <description>AI features break classic UX assumptions. Designing for probabilistic, sometimes-wrong systems takes a new set of patterns.</description>
    </item>
    <item>
      <title>Modernising legacy systems without the big rewrite</title>
      <link>https://www.ivector.co/blog/modernising-legacy-systems</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/modernising-legacy-systems</guid>
      <pubDate>Mon, 18 May 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>The full rewrite is the most expensive, riskiest path, and rarely the right one. How to modernise incrementally instead.</description>
    </item>
    <item>
      <title>Build, buy, or AI: choosing the right foundation</title>
      <link>https://www.ivector.co/blog/build-vs-buy-vs-ai</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/build-vs-buy-vs-ai</guid>
      <pubDate>Sat, 16 May 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>Off-the-shelf is the right default, until it caps your business. With AI now an option too, the framework needs an update.</description>
    </item>
    <item>
      <title>Human in the loop: the pattern behind every compliant AI system</title>
      <link>https://www.ivector.co/blog/human-in-the-loop</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/human-in-the-loop</guid>
      <pubDate>Thu, 14 May 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>From FDA-cleared devices to banking to the EU AI Act, the same design keeps appearing: AI assists, a human decides. It’s not a limitation; it’s the product.</description>
    </item>
    <item>
      <title>Generative AI in banking: what actually ships past compliance</title>
      <link>https://www.ivector.co/blog/generative-ai-in-banking</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/generative-ai-in-banking</guid>
      <pubDate>Tue, 12 May 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Finance has the data and the use cases, but also the regulators. Here’s where generative AI is genuinely landing.</description>
    </item>
    <item>
      <title>AI in retail &amp; e-commerce: personalisation past the hype</title>
      <link>https://www.ivector.co/blog/ai-in-retail-ecommerce</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-retail-ecommerce</guid>
      <pubDate>Sun, 10 May 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Recommendations and forecasting are now table stakes. The frontier is generative: turning data into merchandising, content and service at scale.</description>
    </item>
    <item>
      <title>AI in manufacturing and the field: classical models still rule</title>
      <link>https://www.ivector.co/blog/ai-in-manufacturing</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-manufacturing</guid>
      <pubDate>Fri, 08 May 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Predictive maintenance and quality inspection deliver real gains, but much of it is classical machine learning, not generative AI. That’s a feature, not a gap.</description>
    </item>
    <item>
      <title>AI in education: adaptive learning and the data question</title>
      <link>https://www.ivector.co/blog/ai-in-education</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-education</guid>
      <pubDate>Wed, 06 May 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>AI can personalise learning at a scale teachers never could, but student data and academic integrity set hard boundaries.</description>
    </item>
    <item>
      <title>AI in legal: review at machine speed, judgment at human pace</title>
      <link>https://www.ivector.co/blog/ai-in-legal</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-in-legal</guid>
      <pubDate>Mon, 04 May 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>Document review, research and drafting are being transformed. But hallucinated citations and privilege make accountability the deciding constraint.</description>
    </item>
    <item>
      <title>Open-weight vs closed models: a decision, not a religion</title>
      <link>https://www.ivector.co/blog/open-weight-vs-closed-models</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/open-weight-vs-closed-models</guid>
      <pubDate>Sat, 02 May 2026 09:00:00 GMT</pubDate>
      <category>Engineering</category>
      <description>The gap between open and closed models has narrowed sharply. The right choice is about control, cost and data, not ideology.</description>
    </item>
    <item>
      <title>Can AI fix the energy problem it creates?</title>
      <link>https://www.ivector.co/blog/ai-and-the-energy-sector</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/ai-and-the-energy-sector</guid>
      <pubDate>Thu, 30 Apr 2026 09:00:00 GMT</pubDate>
      <category>Industry</category>
      <description>AI is set to surge electricity demand, but the IEA argues it could also become one of the grid’s most powerful optimisation tools. Both futures are open.</description>
    </item>
    <item>
      <title>Why 95% of enterprise AI pilots fail, and what the 5% do differently</title>
      <link>https://www.ivector.co/blog/why-95-percent-of-ai-pilots-fail</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/why-95-percent-of-ai-pilots-fail</guid>
      <pubDate>Tue, 28 Apr 2026 09:00:00 GMT</pubDate>
      <category>Research</category>
      <description>MIT studied 300 deployments and surveyed hundreds of leaders. The 95% failure rate isn’t about model quality; it’s about how organisations adopt.</description>
    </item>
    <item>
      <title>How to measure AI ROI when the reports say most can’t</title>
      <link>https://www.ivector.co/blog/measuring-ai-roi</link>
      <guid isPermaLink="true">https://www.ivector.co/blog/measuring-ai-roi</guid>
      <pubDate>Sat, 25 Apr 2026 09:00:00 GMT</pubDate>
      <category>AI Strategy</category>
      <description>Only 39% of firms see any EBIT impact from AI, and just 4 of the top 50 banks reported realised ROI. Measuring return is the skill that separates winners.</description>
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