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AI Development Articles
Page 4 of 34. Deep dives into AI-assisted and agentic development. Coding agents, frontier model releases, SDKs, prompting patterns, and the engineering workflows behind building production software with AI.
Page 4 of 34
The newest AI Development guides and analysis
Keep spreadsheet cleanup from changing what your data means. Give an AI agent column rules, reversible transformations and an exception record to review.
#AI agents#Practical decisions+2 more
2026-09-07
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Resume an AI workflow safely after access expires. Reconnect the right account, reconcile earlier writes and continue only the items whose state is known.
#AI agents#Practical decisions+2 more
2026-09-07
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Distinguish an AI draft from a saved, sent or published result. Use a delivery-state reference to describe the evidence, destination and audience accurately.
#AI agents#Evidence reference+2 more
2026-09-07
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Choose what to simulate in AI agent tests and what needs a real check. A reference for test data, mocked responses, side effects and honest evidence limits.
#AI agents#Evidence reference+2 more
2026-09-07
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Check what an AI agent actually read from a document. Map text, table structure, footnotes and images to the evidence needed before using an extracted claim.
#AI agents#Evidence reference+2 more
2026-09-07
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Check whether an AI research answer uses the right web revision. Separate retrieval time, publication date and effective date when primary pages disagree.
#AI research#Web evidence+3 more
2026-09-06
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Turn AI meeting notes into a usable decision record. Preserve conditions, unresolved questions and ownership without treating a suggestion as approval.
#AI meeting notes#Decision records+3 more
2026-09-06
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Test AI-built forms beyond a successful submit. Preserve valid input, explain errors and distinguish a rejected request from an outcome still unknown.
#AI-built forms#Coding agents+3 more
2026-09-06
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Scope a small AI-built utility around clear inputs, outputs and limits. Decide what it should own, reject and preserve before it grows into a system.
#AI-built tools#Coding agents+3 more
2026-09-06
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Compare AI models using the review work needed for an accepted result. Track inspection, corrections and rechecks before treating a lower bill as savings.
#AI model selection#Human review+3 more
2026-09-06
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Trace AI research claims to their original evidence. Distinguish copies, new analysis and independent observations without discarding useful follow-ups.
#AI research#Source independence+3 more
2026-09-06
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Match an AI agent screenshot to the claim it supports. A practical reference for visible state, interaction, saved outcomes and missing capture context.
#AI agents#Screenshot evidence+3 more
2026-09-06
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Distinguish an AI task deadline from a tool timeout or expired access. Use a time-limit reference to budget work and interpret what each clock controls.
#AI agents#Timeouts+3 more
2026-09-06
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Keep agent handoffs accountable with an explicit recipient, acceptance check and remaining-work record. Separate sending a task from accepting ownership.
#AI agents#Task handoffs+3 more
2026-09-05
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Update facts with an AI agent while preserving dates, scope, citations and dependent claims. Use a revision map to keep a small correction accurate.
#AI agents#Content updates+3 more
2026-09-05
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Turn an impressive AI demo into a buying decision. Ask for buyer-chosen tasks, repeat trials, visible interventions and a usable result before committing.
#AI agents#AI procurement+3 more
2026-09-05
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Check whether an AI-generated file is ready to hand over. Review access, structure, meaning and real use before treating a saved export as finished.
#AI agents#File generation+3 more
2026-09-05
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Two AI reviewers can repeat one mistake. Design reviews around separate evidence checks, clear rubrics and independent calculations instead of votes.
#AI agents#AI evaluation+3 more
2026-09-05
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Classify AI tool failures by the decision they require. A reference for fixing inputs, inspecting state, waiting safely and asking an authorized owner.
#AI agents#Tool errors+3 more
2026-09-05
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Review AI transcripts before quoting or reusing them. Check words, speaker labels, time coverage and missing context with a practical reference table.
#AI agents#Transcription+3 more
2026-09-05
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Give a coding agent reproducible bug evidence: exact steps, expected behavior, safe sample data and a failure it can observe before proposing a fix.
#Coding agents#Bug reports+3 more
2026-09-05
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An AI agent should ask when missing information changes the action. Use a rubric for ambiguity, evidence gaps and authority without blocking routine work.
#AI agents#Clarification+3 more
2026-09-04
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AI agents used a public wiki to share task answers, researchers report. Examine what the September 4 evidence supports and what deployment teams should test.
#AI agents#OpenAI+3 more
2026-09-04
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AI research citations need claim-level checks. Use this reference to verify sources, dates, numbers and evidence before publishing an agent-written report.
#AI research#Citation verification+3 more
2026-09-04
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