What we learned building shit. All of it, free.https://phazurlabs.comen-ushttps://phazurlabs.com/research/keywords-outlived-the-clickhttps://phazurlabs.com/research/keywords-outlived-the-clickKeyword research was built to win a visit, and the visit is now reduced, uncounted or mislabelled. We still do the research, as a study of what people want and what they call it. That changes which terms we chase, how far we trust a referral report, and how we write the one press release.Tue, 10 Nov 2026 00:00:00 GMTDistribution EngineeringPhazur Labs Researchhttps://phazurlabs.com/research/the-trusted-network-is-the-first-instrumenthttps://phazurlabs.com/research/the-trusted-network-is-the-first-instrumentFounders lean on their network because it answers fast and tells the truth about what is confusing. We use it the same way, and we record every warm result as a ceiling. The network tells us what is true about an offer. Cold traffic tells us whether it travels.Tue, 10 Nov 2026 00:00:00 GMTDistribution EngineeringPhazur Labs Researchhttps://phazurlabs.com/research/ai-multiplied-the-experiments-not-the-answershttps://phazurlabs.com/research/ai-multiplied-the-experiments-not-the-answersAgents made test variants nearly free. Traffic, time and statistical power cost what they always did, so teams start far more tests than they finish. At small sample sizes the right use of an agent is fewer, larger bets and a decision rule written before the data arrives.Tue, 10 Nov 2026 00:00:00 GMTDistribution EngineeringPhazur Labs Researchhttps://phazurlabs.com/research/how-to-market-an-ai-toolhttps://phazurlabs.com/research/how-to-market-an-ai-toolYou built an AI tool and now someone has to use it. This is the order we would do it in: write an offer that can fail, pick fifty people by hand, test the page before the product, and treat launch day and the press release as jobs with a purpose. It also covers when to stop and change the offer.Tue, 10 Nov 2026 00:00:00 GMTDistribution EngineeringPhazur Labs Researchhttps://phazurlabs.com/research/distribution-engineering-is-a-disciplinehttps://phazurlabs.com/research/distribution-engineering-is-a-disciplineDistribution engineering is specifying, building and instrumenting a product's route to people with the same rigour as the product. It has three parts: an offer written as a claim that can fail, a test with a threshold set in advance, and a measured handoff into operations. Building got cheap. The route did not.Tue, 10 Nov 2026 00:00:00 GMTDistribution EngineeringPhazur Labs Researchhttps://phazurlabs.com/research/the-anti-consulting-manifestohttps://phazurlabs.com/research/the-anti-consulting-manifestoTwenty volumes. Thirty installs. Seven verticals. Here is what we have concluded. Enterprise AI is a software problem dressed as a consulting problem. The right answer is software. And the industry that got it wrong has five years to catch up — or watch a new kind of studio eat its lunch.Sun, 19 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/ai-vendor-riskhttps://phazurlabs.com/research/ai-vendor-riskMost AI vendors sell you a dependency. Here is the checklist every buyer should run before signing. Twelve questions that separate software you can keep from software that leaves when the vendor does.Sat, 18 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/the-swappable-basehttps://phazurlabs.com/research/the-swappable-baseThe foundation model is a commodity. We treat it like one. Here is the architecture that lets the base swap out — Opus to Sonnet, GPT-4 to Gemini, open weights fine-tune — without anything above it breaking.Fri, 17 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/invisible-design-revisitedhttps://phazurlabs.com/research/invisible-design-revisitedThe best interface is the one the user never thinks about. A year of install work has sharpened that claim. Here are the four things we now delete by default, and why the best AI products refuse to show off.Thu, 16 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/evaluating-ai-in-regulated-environmentshttps://phazurlabs.com/research/evaluating-ai-in-regulated-environmentsHIPAA, SOC 2, GDPR, FDA 21 CFR Part 11, ISO 27001. The compliance filter does not slow the install. It shapes what the recommender is even allowed to propose. Here is how.Wed, 15 Apr 2026 00:00:00 GMTIndustry OntologiesPhazur Labs Researchhttps://phazurlabs.com/research/home-inspection-rag-install-field-reporthttps://phazurlabs.com/research/home-inspection-rag-install-field-reportA RAG system over regional inspection reports. The retrieval side was easy. The citation side was not. Sourced answers are the product. Here is what we shipped, where retrieval failed, and how the ontology caught it.Tue, 14 Apr 2026 00:00:00 GMTInstall Field ReportsPhazur Labs Researchhttps://phazurlabs.com/research/retraining-without-regressionhttps://phazurlabs.com/research/retraining-without-regressionThe corpus updates quarterly. That is a promise, not a risk. Here is how we retrain without breaking what already shipped, and why regression is the term we wake up thinking about.Mon, 13 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/seven-verticals-seven-ontologieshttps://phazurlabs.com/research/seven-verticals-seven-ontologiesEvery vertical has its own regulatory reality, economic reality, and operating vocabulary. A generalist model approximates all three. An ontology codes them. This is the table, one filter at a time, across the seven verticals we currently ship.Sun, 12 Apr 2026 00:00:00 GMTIndustry OntologiesPhazur Labs Researchhttps://phazurlabs.com/research/concierge-install-field-reporthttps://phazurlabs.com/research/concierge-install-field-reportA hotel concierge AI answers guests, escalates to staff, and never invents a name. The design constraint is stronger than the model choice. Here is what we installed, what it refuses, and why the refusals are the product.Sat, 11 Apr 2026 00:00:00 GMTInstall Field ReportsPhazur Labs Researchhttps://phazurlabs.com/research/the-build-hire-automate-decisionhttps://phazurlabs.com/research/the-build-hire-automate-decisionBuild, hire, or automate. The three lanes are not equivalent. Each has a cost curve, a timeline, and a failure mode. Here is how Cost Analysis models the trade on our installs, and the one thing every in-house spreadsheet leaves out.Fri, 10 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/context-engineering-for-2026https://phazurlabs.com/research/context-engineering-for-2026Prompt engineering was never the practice. Context engineering is. How the 2026 Corpus, a live readiness score, and a per-industry ontology compose into context the agent actually uses. And what it costs, in tokens and in latency, to get this right.Thu, 09 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/clarity-si-install-field-reporthttps://phazurlabs.com/research/clarity-si-install-field-reportProperty intelligence is a dashboard problem disguised as an AI problem. Clarity SI proved that the right aggregation beats the fancier model most of the time. One screen. The number leadership wanted.Wed, 08 Apr 2026 00:00:00 GMTInstall Field ReportsPhazur Labs Researchhttps://phazurlabs.com/research/building-agents-you-can-inspecthttps://phazurlabs.com/research/building-agents-you-can-inspectAgents that work but cannot be inspected are not production software. They are spells. Here is what inspectable means on our install, and why it is the difference between an agent your team operates and one they tolerate.Tue, 07 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/why-the-base-model-isnt-the-moathttps://phazurlabs.com/research/why-the-base-model-isnt-the-moatEvery competitor can buy the same foundation model tomorrow. The moat is what sits on top. This is the four-layer architecture we install, and why it compounds in calendar time rather than engineering time.Mon, 06 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/roadrunner-septic-install-field-reporthttps://phazurlabs.com/research/roadrunner-septic-install-field-reportTrade services is not fintech. The install proved that the ontology filter works as hard on a septic booking flow as it does on a compliance workflow. Different surface. Same spine. Here is what held, what broke, and what the install taught the corpus.Sun, 05 Apr 2026 00:00:00 GMTInstall Field ReportsPhazur Labs Researchhttps://phazurlabs.com/research/agentic-rag-in-productionhttps://phazurlabs.com/research/agentic-rag-in-productionRetrieval and reasoning are two different problems. Most teams solve the first and pretend it solved the second. Here is where retrieval should stop. Here is where the agent should start. Drawn from the Home Inspection RAG install, and five others that went the same way.Sat, 04 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/one-ontology-per-industryhttps://phazurlabs.com/research/one-ontology-per-industryA healthcare commercialization recommendation does not look like a PE portfolio one. The model knows why. The reason is not in the base model. It is in the translator layer that sits above it. This is the shape of that layer, and why a generalist model cannot approximate it without it.Fri, 03 Apr 2026 00:00:00 GMTIndustry OntologiesPhazur Labs Researchhttps://phazurlabs.com/research/port-san-antonio-install-field-reporthttps://phazurlabs.com/research/port-san-antonio-install-field-reportUX discovery and readiness audit ran in parallel on the Port of San Antonio install. What surfaced in the audit changed the UX work. What surfaced in the UX work changed the ontology. Here is what we found.Thu, 02 Apr 2026 00:00:00 GMTInstall Field ReportsPhazur Labs Researchhttps://phazurlabs.com/research/the-readiness-scorehttps://phazurlabs.com/research/the-readiness-scoreThe readiness score is the first number a Terrein install produces. It is not a grade. It measures the distance between an organization’s operating reality and its operating ambition. Here is what the number contains, how it moves, and why eighty-seven out of a hundred means something.Wed, 01 Apr 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Researchhttps://phazurlabs.com/research/the-ai-pilot-is-overhttps://phazurlabs.com/research/the-ai-pilot-is-overEnterprises aren't failing at AI. They're failing at AI delivery. After thirty installs in five months, the pattern is clear. The companies winning with AI have stopped piloting and started installing. This is a field note about what we saw, what we changed, and what we ship now.Tue, 31 Mar 2026 00:00:00 GMTCommercialization PatternsPhazur Labs Research