Lee Powell · Architect of Scrivener and Scapple · Lumen & Lever Most AI document pipelines fail before the model is ever called. Tables become paragraphs. Lists collapse into prose. Annotations are detached from context. Page references disappear. Source traceability is replaced by a confidence score. The structure that gave the document its meaning is gone before retrieval runs, and no retrieval
A hands-on technical breakdown of the WannaCry ransomware, the EternalBlue exploit, and why system patching is still critical today. Imagine it’s a typical Monday morning at a mid-size hospital. An older Windows computer in the Radiology department hasn't been updated in months. The hospital's network is completely "flat," meaning every computer can seamlessly talk to every other device on the n
What is MVC? M → Model It is a design pattern used to organize your code by separating concerns. => In Spring Boot, MVC helps structure web applications cleanly. MVC in Spring Boot is a design pattern that separates an application into Model, View, and Controller. The Model handles data and business logic, while the View is responsible for displaying the user interface. The Controller acts as a b
Building a Translation Pipeline for International Contract Bidding If your company bids on international contracts, you've probably dealt with the translation bottleneck. Technical proposals need precise translation, certified documents have strict formatting requirements, and procurement deadlines don't wait for anyone. After seeing how UK public procurement translation requirements can make or
The first stage of AI work is prompting. The last stage is removing the model from most of the workflow. That sounds backwards. It is not. When a workflow is new, the LLM is useful because the work is still ambiguous. You are discovering what good looks like. You try a prompt, read the output, adjust the examples, change the tone, add constraints, and run it again. That is a good use of AI. But if
Go is a compiled language — the code is converted into machine‑readable form before execution. From a beginner’s perspective, this means Go catches many errors during compilation, giving you cleaner, faster, and more predictable performance at runtime. Go is widely used for: API development CLI tools Microservices architecture Backend server. DEVOPS activity So it fits perfectly with the kind of
If you've tried building an AI agent in the last six months, you've hit the same wall: there are half a dozen frameworks, each with a different philosophy, a different API surface, and a different definition of what an "agent" even is. I spent a weekend writing the same simple agent — "read a GitHub issue, classify it as bug/feature/question, and post a comment" — in six different frameworks. This
Originally published on TechSaaS Cloud Originally published on TechSaaS Cloud An API gateway sits between clients and your backend services. It handles cross-cutting concerns so your services do not have to: authentication, rate limiting, request routing, load balancing, caching, and observability. WebMobileIoTGatewayRate LimitAuthLoad BalanceTransformCacheService AService BService CDB / Cache API