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The Dark Factory Is a Spectrum, Not a Category
It was Tuesday when I figured it out. Midsummer. A mildly hot day. I had a meeting that dragged for too long. I was aggravated but at the same time some useful thoughts had started to creep in. That's when I realised that if you have a business, a single
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Uber's AI Software Factory: 4 Lessons Every Business Leader Should Know in 2026
Most companies are still asking which AI tool to buy. Uber is already asking a harder question: how do you operate thousands of AI-assisted workflows without letting cost, complexity, and risk grow just as quickly? That is why Uber Engineering's recent ac
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Your Team Isn't Ready for the Dark Factory
Something funny happened last week. But also normal. My agent lost its way. Not in the philosophical sense humans do. After all, let's not anthropomorphise the artificial. But in a really practical way. It considered something done. And it looked done on
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How To Prepare For Your Software Dark Factory and 8 Ways to Make It Affordable
A lot of SMBs are being told to build a "software factory" Fair enough. The idea is useful. But a software factory is not a collection of AI tools. It is a repeatable system for turning intent into reliable software. A software factory is not a plug-in. I
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The Dark Factory Test: What Has to Be True Before Software Can Build Itself
This piece adapts Loop engineering is verifier engineering, an essay by Ilko Kacharov, Camplight co-owner, for teams deciding whether - and where - to trust autonomous software delivery. The pitch you'll hear more and more this year goes like this: AI age
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Position First, Then Pretotype: Why Your Digital Product Experiments Keep Failing for the Wrong Reasons
If you lead innovation inside an established B2B company, you already know the validation playbook by heart. Build a quick prototype. Stand up a landing page. Run a smoke test. Watch the signups. Decide whether to keep going. It feels rigorous, it produce
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How to Choose a Validation-First Build Partner (2026): A Framework for SMB Innovation Leaders
TL;DR. Small and medium sized innovation leaders evaluating a validation-first build partner should score candidates across five dimensions. Validation methodology (productized or improvised). Kill-rate transparency (do they publish how often they say no)
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The validation gap and why innovation teams burn money on theater
Last 14 years in Camplight I've been embedded with R&D teams. 1,000+ validation engagements audited. And I see the same pattern, every time. Ask 10 innovation teams "how do you validate new product ideas?" You'll get 10 confident answers. You'll watch 9 o
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How companies actually innovate, and the risk hiding in each way
After more than a decade helping companies de-risk what they build, I have stopped believing that most teams choose how companies innovate. They don't. They fall into one of three default modes, usually without ever naming it. None of the three is a strat
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