Cap the whole run, not only the model request
A small per-call token limit does not prevent a long sequence of calls, tool retries and queued work. Budget the complete task and define how it stops.
Read articleCobnex blogs / Global
Cobnex blog
AI implementation, software architecture and cloud operations for teams worldwide.
146 articles in AI engineering
Page 7 of 9
Place checkpoints where the consequence changes
Asking for approval after every small step creates queues and weak attention. Put review around meaningful commitments, with enough detail to understand the combined effect.
Read articlePrice durable recovery against repeated work
Checkpoints add storage and coordination, but restarting a long task can repeat model calls, document processing and operator effort. Compare the whole recovery path.
Read articleSpend expert review on the cases that separate candidates
Human judgement is most valuable where correctness is consequential or automation is uncertain. Use deterministic checks and targeted sampling to make that time count.
Read articleCompare cost after retries and validation failures
A cheaper response is not necessarily a cheaper completed task. Include rejected outputs, repeated calls and human recovery in the comparison.
Read articleCalculate automation savings after exception handling
Extraction charges are only part of document-processing cost. Include review time, false acceptance, duplicate work and the effort needed to maintain supplier formats.
Read articleSelf-hosting transfers an operating workload to your team
Running a model yourself can change control and cost, but it also creates responsibility for capacity, upgrades and recovery. Compare those obligations with the actual task workload.
Read articleInclude the person who resolves the AI exception
Automation cost includes the work handed back to staff. Measure whether an exception arrives with enough evidence to resolve it efficiently.
Read articlePrice the work that leaves the automated path
Abstention can prevent an incorrect answer, but it may create clarification and review work. Compare that effort with the consequence of answering incorrectly.
Read articleAsk a reviewer to search as the wrong account
A retrieval review becomes more useful when the reviewer tries to cross a known boundary. Use a small, explainable exercise that reaches beyond the main search box.
Read articleReview the query that has no correct answer
Search systems are good at finding something related. A useful review checks whether the application can recognise that the available sources do not answer the question.
Read articleReview a chunk without the document preview
A simple reading exercise reveals whether a retrieved passage carries enough context. Ask a reviewer to interpret it before showing the original page.
Read articleAsk which words actually justify the answer
Review a citation feature by tracing a consequential sentence back to its evidence. A list of numbered links is only the beginning.
Read articleReview the answer from yesterday's conversation
A freshness review should begin with information the product has already served. Old conversations expose assumptions that a clean search demo misses.
Read articleReview the controls with the detection prompt removed
A prompt-injection detector is an additional signal. The application's access and execution rules should still hold when that signal is absent or wrong.
Read articleReview the tool schema against the business rule
A typed tool can still expose too much authority. Compare every accepted field and side effect with the operation the user is actually permitted to request.
Read articleCompare the approval screen with the submitted payload
Review the values a person saw against the values the executor used. This catches hidden fields, stale state and post-approval changes that a polished screen can conceal.
Read articleReview what the transcript cannot prove
A conversation can describe a completed action without proving its effect. Review the records and state transitions used to recover when messages and mutations diverge.
Read article