Blog
Engineering insights, case studies, and practical guides. AI that works in production.
When You Need a Fractional CMO (and When You Need an Agency or a First Marketing Hire)
Founders reach for an agency or a junior hire when what is actually missing is ownership. An honest breakdown of what a fractional CMO owns, how it differs from an agency and a first marketing hire, and the narrow band where fractional is the right call.
ReadWhen You Actually Need a Fractional CTO (and When You Need Something Else)
Founders tend to hire a fractional CTO too late, or hire one when what they really need is a full-time leader or a technical cofounder. An honest breakdown of what a fractional CTO does day to day, how the three roles differ, and the narrow band where fractional is the right call.
ReadIdea to MVP: The Build Sequence That Gets You to a Paying User
Most MVPs fail not on code quality but on the order of operations: validating the wrong thing, polishing the wrong screen, quitting right before the test that matters. An opinionated sequence from idea to MVP, with AI used where it earns its place.
ReadAI Product Development for Non-Technical Founders: What to Own and What to Delegate
A founder-to-founder guide to AI product development without getting taken for a ride: how to tell a real AI product team from people gluing an API to a prompt, the questions that separate a serious build from a demo, and the expensive traps to avoid.
ReadPrice Elasticity in Production: Beyond a Single Number
Most decks treat price elasticity as one number you look up in a table. Production pricing needs own-price and cross-elasticity, cannibalization, product roles, and what-if simulation. What a pricing AI that actually ships has to model.
ReadIndustrial AI on the Line: Computer Vision That Survives Production
The demo always works, then the model meets the plant floor. Industrial AI and computer vision for manufacturing that survives real light, line speed, and motion blur, with two honest cases including 709 counted against 717 actual.
ReadProcurement Analytics: Turning Spend Data Into a Supplier Strategy
A spend report tells you where the money went. Procurement analytics should tell you what to do about it. Supplier segmentation, spend analysis, and the matrix that turns spend visibility into a real supplier strategy.
ReadRetail Analytics Beyond the Category Report
The category report is a rear-view mirror. Retail analytics that moves a store works underneath it: shopping missions, market basket analysis, SKU rating by traffic role, and out-of-stock detection from ordinary sales data.
ReadDemand Forecasting for Trade Promotions That Sales Teams Actually Use
Most demand forecasting never reaches the negotiation table. What it takes to forecast sell-out from promo support, facings, and equipment placement, and to optimize a promo calendar for profit, not only revenue.
ReadData Governance That Ships, Not Policy
Most data governance dies in a 120-slide framework. What governance looks like when it ships: data quality checks in production, lineage, master data management, and a governed enterprise data model.
ReadPrivate LLM Deployment: What a Self Hosted LLM Actually Takes in a Regulated Enterprise
Why cloud APIs stall in regulated industries, the real spectrum from local LLM to air-gapped on premise LLM, and what a production private LLM deployment costs in weeks and roles. With the insurance deployment that proves the pattern.
ReadInsurance Claims Automation: How a Top-5 Insurer Got to 98%
Nine document types, 2-3 days per case, 15% errors. What claims processing automation actually required to ship: extraction, validation, routing, audit trails, and the 2% that stays human on purpose.
ReadBank Statement Extraction at 10x: From 200 to 4,000 Documents a Month
Anatomy of a production 10x: Arabic bank statements, invoice data extraction, and KYC automation on one extract-validate-review pattern. What moved the number and what did not.
ReadAI for Supply Chain: Tender Analysis From 3 Days to 15 Minutes
A procurement AI pipeline for an industrial pump manufacturer: parse, match, score, shortlist. 946 records at about 90% accuracy, 70% of tenders auto-filtered before a human reads them.
ReadQué son los agentes de IA y cómo usarlos en tu empresa
Qué es un agente de IA (y en qué se diferencia de un chatbot), cómo funciona, casos reales en empresa, y cómo crear agentes de IA que lleguen a producción on-premise y con gobernanza.
ReadSync Your AI Workspace: Claude Code and Your LLM Stack on Every Machine
The architecture for making ~/.claude/ - skills, commands, config - appear identically on every machine, automatically. Two private repos, symlinks, a 30-minute auto-pull, and the one piece Anthropic has not solved yet.
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