azim72.hashnode.devWhen Deep Research Stops Being a Guess: Choosing the Right AI Research AssistantFor anyone who builds systems from papers, product docs, and PDFs, the modern problem is not access to information but the cost of making sense of it. Raw search returns fragments; reading dozens of papers by hand consumes weeks. The meaningful shift...21h ago·6 min read
azim72.hashnode.devWhy do image generators trip over fine detail - and how do you make them reliable for production?Ideogram V1-style image models frequently trip over small, high-impact details: rendered text turns into gibberish, thin edges blur, and compositional intent drifts between runs. For engineers and creators who depend on repeatable outputs, this isn't...1d ago·5 min read
azim72.hashnode.devPeeling the Transformer: Practical Internals That Decide Production ReliabilityAs a Principal Systems Engineer, my goal here is not to re-state the obvious. This is a layer-by-layer deconstruction of how contemporary AI models actually behave once they leave the lab and run inside workflows that must be reliable. The payoff is ...2d ago·5 min read
azim72.hashnode.devWhat Fixed Our Image Generation Bottleneck in Production (Live Migration Case Study)Discovery - The crisis that halted throughput In a production environment serving a creative SaaS product, the image pipeline started missing SLA targets during peak hours. The team supported a live queue of design requests from paying users...3d ago·6 min read
azim72.hashnode.devWhy do editing pipelines kill clarity - and how to stop them?Rewriting technical copy to suit different audiences is a frequent collapse point: your content loses nuance when a bulk rephrase trades precision for flow, or when automated edits introduce subtle meaning shifts. That breakage is costly - missed bug...3d ago·6 min read