To Data & Beyond: Who It's For and Who Sponsors It

Covers: Practical guides, roadmaps, and implementations for AI agents, prompt engineering, LLM frameworks, and context engineering.
For: AI engineers, data scientists, and software developers building production AI systems.
Best for: Developers seeking hands-on technical tutorials and architecture patterns for AI agent development.
Skip if: Non-technical business executives seeking high-level strategy without code or architecture details.

Start with

A Practical Roadmap to Forward Deployed Engineering in AI: Explains how to transition into forward deployed AI engineering roles in enterprise settings.
What your agent actually sees, and how to measure it: Covers context engineering and managing accumulated history to optimize AI agent reliability.
Nine Ways to Use Jev in AI Applications and Agent Workflows with Practical Examples: Provides Python code examples for making categorical and scoring decisions in agent workflows.

Summarised by AI from 12 recent issues. Audience size is not included. Prices are not included. Report a mistake.