Technical deep-dives, architectural patterns, and industry updates for the modern AI engineer.
A step-by-step guide to generating marketplace product card images from real photos with visual AI: preparing source imagery, selecting key captions, prompting cleanly, assessing readability in mobile lists, and checking platform rules.
Read Technical ReportJev calls are inexpensive, but adding a low-cost decision model does not automatically reduce the total cost of an AI agent. This article breaks down three common architectures—pre-routing, context filtering, and post-generation verification—and shows how to calculate savings together with retries, human review, latency, and routing errors.
Read Technical ReportEmail classification is only the first step in support automation. Using Jev's Choice, Noul, and Score primitives, this article designs a complete ticket-routing workflow from intake and structured decisions to business-rule composition, human review, and outcome feedback, while preserving real-world constraints around accuracy, probability drift, network failures, and multilingual thresholds.
Read Technical ReportJev is not a chat model. It is a System One model that receives a state and typed questions, then returns structured Choice, Score, or Noul decisions. This article groups ten community projects into action, information, and workflow layers to show where Jev fits, what surrounding code must do, and where the evidence still has limits.
Read Technical ReportThrough the Browser Use and json-render open-source examples, this article explains how Jev makes structured decisions inside a limited action or component space, and why DOM inspection, text generation, JSON assembly, validation, rendering, and final execution must still be handled by surrounding code.
Read Technical ReportPlace Jev between deterministic code and generative LLMs: code handles exact rules, Jev handles semantic judgments among bounded options, and generative models handle open-ended reasoning and content generation. This article explains how to decide whether a task is worth migrating by examining the API, evaluation evidence, full-workflow cost, and risk.
Read Technical ReportUsing a product website that recruits early testers as an example, this guide shows how to build pages, make focused revisions, connect a form, and prepare a site for launch in Claude Code.
Read Technical ReportManage long Claude Code tasks with careful compaction, bounded subagent work and usage checks. Preserve key context and verify completed work, not guesses.
Read Technical ReportThis guide shows how to connect Inspo MCP to Claude Code or Codex, select and verify design references, turn layout, hierarchy, spacing, typography, color, and responsive behavior into actionable UI requirements, and confirm through real renders that the agent actually used the references.
Read Technical ReportWhat to do when Grok Bot hits its weekly limit: differences between Weekly usage and on-demand, non-stacking rules for Cursor and SuperGrok subscriptions, and safe steps for teams.
Read Technical ReportA breakdown of GPT-Live-1 voice agent architecture: dividing roles between the speech layer and background backend, delegating tools, and testing prototypes.
Read Technical ReportAn architectural comparison between fixed code calling the Model API and the cloud harness of the OpenAI Agents API, using incident report automation.
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