Learn the work behind Data, AI & Forward Deployed Engineering
Practical explanations, career decisions and reproducible workflows. Read the reasoning, inspect the evidence and follow the next skill into a real programme.
MCP authentication: distinguish user identity from service identity
An MCP server may authenticate as a service to a downstream system while acting for a user. Those identities and permissions are related but not interchangeable.
MCP tools, resources and prompts: assign the right responsibility
An MCP server can expose tools, resources and prompts, but they solve different integration needs. Mixing them makes authority, caching and testing harder to reason about.
MCP versus a direct API integration: evaluate the trade-off
MCP standardizes capability discovery and interaction for compatible hosts. A direct API adapter can be simpler for one controlled application. Choose from deployment needs rather than protocol fashion.
Mean versus median in a skewed order-value report
Use the mean when the arithmetic average matches the question, and the median when the middle observed order is the intended summary. In a skewed distribution, report enough context to show why they differ rather than de
Measure API latency before optimizing it
Optimization needs a baseline tied to a user-visible boundary. A single local stopwatch run cannot represent tail latency or production load.
Measure automation value against a manual baseline
“The workflow ran in one minute” ignores review, correction and exception work. Measure the same completed task under the manual and automated process.
Measure campaign profitability after refunds and discounts
Gross sales divided by advertising spend can make a campaign look attractive even when refunds and fulfillment costs leave little contribution. Build a transparent value bridge before comparing campaigns, and give every
Measure citation correctness separately from answer quality
A statement can be factually true while its citation does not support it. A cited source can also support a statement that is obsolete for the requested date. Evaluate claim correctness, source entailment and source elig
Measure cost per successful task instead of cost per call
A cheap model call can be expensive work. If an answer fails validation, triggers a retry and then needs human correction, cost per call hides the cost of reaching a useful outcome.
Measure disagreement between automated graders
Two graders can produce the same average score while disagreeing on the cases that matter. Inspect row-level disagreement and compare each grader with human reference labels before using it for a release gate.
Measure extraction precision and recall by field
Whole-record accuracy marks a document wrong when one field fails and can hide which extraction component needs work. Micro-averaging can let an easy, frequent field dominate. Report true positives, false positives and f
Measure false-positive workload before deploying a classifier
A false-positive rate is a fraction of actual negatives. Operations receive a count of alerts. Before deployment, connect the fraction to expected volume, batch timing, duplicate handling and analyst capacity.
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