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JevMade field notes / Written article

Plan a migration with a map of what depends on what

TLatAccenture maps system dependencies for a proposed cloud migration workflow, while the current browser demos illustrate the idea with fixed rules rather than live Jev calls.

Original by TLatAccentureAgent workflows

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Our summary

Move one piece of company software and a dependent report or job may break. TLatAccenture's thought piece maps those relationships so an agent can see what a change would affect. The current proposal concerns Google Cloud, a change of scope from the older Graphs + Jev field guide.

In the plan, connections reach existing systems and a graph records what depends on what. Jev would judge routine choices, Gemini would take larger tasks, and code would count and validate exactly. One browser example highlights a request's path through fifteen sample facts.

The demos use small graphs held in memory and fixed rules. They do not call Jev, run the proposed system connections or prove that migrations are safe. Start, the piece suggests, with one domain and one migration pattern, then measure before expanding. This is an illustration, not a commercial migration service.

Key takeaways

  1. Before changing a system, map the jobs and reports that rely on it.
  2. Leave exact checks to code. Give each agent only the system connections its task requires.
  3. The architecture is proposed and the demos use fixed rules. Measure one migration pattern before extending the approach.

The original GitHub Pages address is unavailable; the repository points to this current thought piece with its changed scope. The sample results say nothing about live Jev accuracy, production safety or cloud cost.

TLatAccenture

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