Digital Applied Team
The Digital Applied editorial team — strategists, engineers, and operators publishing research on SEO, AI, and digital transformation.
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2210 publishedBefore an AI Agent Unpacks a File, Check Where It Writes
Check an archive before an AI agent extracts it. Define the destination, allowed file types, overwrite behavior and resource limits before accepting files.
AI Development··4 min readAn AI Agent Should Show Its Changes Before Publishing
Bind AI publication approval to the exact version, destination and audience. A practical review record helps prevent later edits from bypassing the decision.
AI Development··4 min readAI Coding Agents: Check the Combined Changes Before Release
Check how separate AI coding changes interact after integration. Use a combined-version review record to catch behavior gaps that a clean merge can miss.
AI Development··4 min readAI Spreadsheet Cleanup: Keep the Original Meaning
Keep spreadsheet cleanup from changing what your data means. Give an AI agent column rules, reversible transformations and an exception record to review.
AI Development··4 min readWhat Happens to an AI Workflow When a Connector Expires?
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 Development··4 min readAI Agent Deliveries: Draft, Saved, Sent and Published
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 Development··6 min readAI Agent Test Data: What to Fake and What to Keep Real
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 Development··6 min readAI Document Reading: Text, Tables, Footnotes and Images
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 Development··6 min readAn AI Agent Read an Old Web Page: How to Spot the Gap
Check whether an AI research answer uses the right web revision. Separate retrieval time, publication date and effective date when primary pages disagree.
AI Development··4 min readAI Meeting Notes: Keep Decisions Separate From Ideas
Turn AI meeting notes into a usable decision record. Preserve conditions, unresolved questions and ownership without treating a suggestion as approval.
AI Development··4 min readAI-Built Forms: Keep User Input When Submission Fails
Test AI-built forms beyond a successful submit. Preserve valid input, explain errors and distinguish a rejected request from an outcome still unknown.
AI Development··4 min readSmall AI-Built Tools: Set the Boundary Before You Build
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 Development··4 min readA Cheaper AI Model Can Leave You With More Review Work
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 Development··4 min readAI Research Sources: Original, Syndicated or Repeated
Trace AI research claims to their original evidence. Distinguish copies, new analysis and independent observations without discarding useful follow-ups.
AI Development··6 min readAI Agent Screenshots: What Each Image Actually Proves
Match an AI agent screenshot to the claim it supports. A practical reference for visible state, interaction, saved outcomes and missing capture context.
AI Development··6 min readAI Agent Time Limits: Deadlines, Timeouts and Expiry
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 Development··6 min readWho Owns Unfinished Work When an AI Agent Hands It Off?
Keep agent handoffs accountable with an explicit recipient, acceptance check and remaining-work record. Separate sending a task from accepting ownership.
AI Development··4 min readAI Content Updates: Change Facts Without Losing Context
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 Development··4 min readA Successful AI Demo: What Evidence Should a Buyer Ask For?
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 Development··4 min readAI File Outputs: What Counts as a Finished Deliverable
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 Development··6 min readWhy Two AI Reviewers Can Agree on the Same Wrong Answer
Two AI reviewers can repeat one mistake. Design reviews around separate evidence checks, clear rubrics and independent calculations instead of votes.
AI Development··4 min readAI Tool Errors: Which Failures Need a Human Decision
Classify AI tool failures by the decision they require. A reference for fixing inputs, inspecting state, waiting safely and asking an authorized owner.
AI Development··6 min readAI Transcripts: Check Words, Speakers and Missing Sound
Review AI transcripts before quoting or reusing them. Check words, speaker labels, time coverage and missing context with a practical reference table.
AI Development··6 min readGive a Coding Agent a Bug Report It Can Actually Verify
Give a coding agent reproducible bug evidence: exact steps, expected behavior, safe sample data and a failure it can observe before proposing a fix.
AI Development··4 min readAI Accessibility Fixes Need More Than a Contrast Button
AI accessibility fixes can remove a real barrier, but a useful browser shortcut is not a site-wide repair. Test the actual user task before calling it done.
Development··6 min readWhen Your AI Agent Should Ask You Instead of Guessing
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 Development··6 min readAI Agents Used a Public Wiki: What the Evidence Shows
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 Development··4 min readChecking AI Research Citations: A Practical Reference
AI research citations need claim-level checks. Use this reference to verify sources, dates, numbers and evidence before publishing an agent-written report.
AI Development··6 min readAI Translation QA: Keep Prices, Promises and Links Intact
AI translation QA should protect the facts behind fluent copy. Check prices, conditions, placeholders and links before an agent publishes localized content.
Marketing··6 min readBrowser or API? Choosing How Your AI Agent Takes Action
Browser or API access changes what an AI agent can verify. Compare sixteen tasks and choose the right interface for reliable, reviewable business actions.
AI Development··6 min readDeleting AI Agent Memory: Where Stored Copies Survive
Deleting AI agent memory takes more than clearing a chat. Map stored copies, retrieval indexes and backups, then verify what your system can still recover.
AI Development··6 min readHow to Stop an AI Agent and Its Background Work Safely
Stopping an AI agent should stop new work and account for active jobs. Learn how to verify cancellation, preserve completed results and report unknown outcomes.
AI Development··6 min readGoogle Is Removing Language Targeting From Search Ads
From September 2026 the campaign-level language setting leaves Search campaigns and stops applying to Performance Max on Search. What changes, what to check.
Marketing··7 min readGoogle Keeps Its Ad Exchange. What the Judge Ordered
The September 2, 2026 order in United States v. Google rejects AdX divestiture and accepts most behavioural remedies. The reasoning is sealed. What it says.
Business··8 min readTest a New AI Model on Your Own Traffic Before Switching
OpenAI replayed 54,218 real agent tasks against GPT-6 Astra before deploying it. The method transfers: hold history fixed, resample a turn, count what changed.
AI Development··7 min readCan You Still Read What Your AI Agent Is Actually Thinking
What OpenAI, Anthropic, Google DeepMind and Meta each publish on whether an agent's reasoning trace can be read and trusted: every measured figure, every blank.
AI Development··10 min read
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