Technical knowledge

Choose a practical task, work through its example, and check the result. These guides focus on preparing useful AI context, choosing a workflow architecture, and explaining an engineering decision with evidence.

Choose a path by the problem you have

The assistant keeps missing requirements

Prepare a small context packet with exact constraints, relevant source excerpts, and acceptance checks. Compare the shortened packet with a baseline before using it for a larger task.

Build and test a context packet

You are deciding how much autonomy to allow

Compare a fixed sequence with a model-directed loop using the same invoice example. Consider permissions, recovery, stopping rules, and evaluation cases before adding exploration.

Compare workflows and agent loops

You need to explain what your team built

Turn a technical change into a useful account of the problem, decision, tradeoff, and evidence. Use the publication checklist to avoid unsupported results and confidential details.

Draft an evidence-based engineering post

Worked guides

AI Workflow

Optimizing AI Context Windows: A Testable Workflow

Build a focused context packet for a code change, preserve critical constraints, and test compressed prompts against an acceptance checklist.

5 min read

LinkedIn Authority

Technical Storytelling: Explain an Engineering Decision

Use an evidence ledger, a worked migration example, and a publication checklist to explain an engineering decision without inventing results.

4 min read

Use the guides as a small practice project

Pick a change you can verify locally. Write the expected behavior before asking an assistant to implement it. Keep a short record of the evidence you supplied, the proposed change, and the checks you ran. If the result fails, identify the missing constraint or incorrect assumption instead of treating a confident explanation as proof.

The examples here are illustrative. They do not report measured client outcomes or guarantee model accuracy, cost savings, audience growth, or production reliability. Adapt the checklists to your own source code, data permissions, and deployment process.

For broader implementation articles, visit the technical blog or Microsoft Fabric collection. For reusable starting text, the template library provides examples that still require adaptation and testing.

Short internal references

These compact notes describe terminology and design conventions used on this site. They are working references, not independent industry standards, benchmark reports, or complete implementation tutorials. Read them alongside the worked examples above.

Look up unfamiliar terms in the glossary. See the editorial policy for how this site treats examples, evidence, and corrections.