Create a recurring AI research brief that does not recycle old news

A useful brief starts with a decision, not a topic

Track AI news is not a brief. It is an invitation to collect whatever looks interesting. A useful recurring brief names the reader and the decision it supports. A product lead may need competitor launches that affect the next planning cycle. A compliance lead may need regulatory updates in named jurisdictions. A small-business owner may need only changes that alter a tool they already pay for.

This distinction matters because recurring AI work tends to drift. The first edition is focused; by week four, the output contains opinion pieces, repeated announcements, unrelated funding stories, and old events newly republished by another site. The document keeps arriving, so it feels like a functioning system even when nobody uses it.

OpenAI Academy describes briefing as a common pattern for scheduled tasks: a concise set of bullets, links, and useful next steps. Its examples also show the importance of a defined cadence and subject. NIST's generative-AI profile recommends defining the specific task and assessing output against known ground truth with human oversight. Together, these principles suggest a practical design: specify what the brief is for, then make every item traceable enough to review.

I use a fictional weekly brief for a two-person software company that sells an online scheduling product in the United Kingdom and European Union. The founders need developments that could change their product roadmap, customer communication, or vendor risk. They do not need a general digest of artificial intelligence.

Sources: OpenAI Academy: Tasks and recurring brief patterns; NIST: Generative AI Profile

Write a brief contract before a recurring prompt

I call the specification a brief contract. It is a one-page agreement about what the output should contain and what it should refuse. It names the audience, purpose, coverage window, delivery cadence, inclusion rules, exclusions, source standard, format, maximum length, and review owner.

For the fictional company, the audience is two founders. The purpose is to identify changes that may affect product, customer promises, or vendor choices. The cadence is Monday at 8 a.m. Europe/London time. The coverage window is the previous Monday through Sunday. The topics are scheduling software competitors, material AI features in tools the company uses, and UK or EU rules that directly affect this product category.

An item qualifies only if something happened during the window or a primary source published a materially new detail. General commentary, predictions, listicles, copied press releases, and funding news without product impact are excluded. The output has at most five items, followed by no material changes when nothing meets the threshold.

That last possibility is essential. A system forced to produce five stories will lower its standard until it fills five slots. Zero is a valid count. The brief exists to reduce uncertainty, not to demonstrate that the automation ran.

The contract should also say what happens when research fails. If a key source is inaccessible, the brief reports the gap. If the search tool was unavailable, the run fails visibly instead of recycling the last edition. If a claim cannot be tied to a source, it stays out.

Audience: two SaaS founders
Decision: product, customer-communication, or vendor action
Window: previous Monday 00:00 through Sunday 23:59 Europe/London
Include: material competitor, vendor, UK, or EU developments
Exclude: opinion-only posts, generic roundups, rumors, unchanged announcements
Sources: primary first; reputable reporting for context
Maximum: five items; zero is allowed
Reviewer: one founder before distribution

Record the publication date and the event date

A news article published this week may describe an event from last month. A product documentation page may have no visible publication date even though its changelog records a release yesterday. If the brief tracks only the page date, old news can reappear as new.

For every candidate, record at least four dates or states: when the source was published or updated, when the underlying event occurred, when your system discovered it, and which coverage window is being prepared. If the event date is unknown, say unknown rather than copying the article date into that field.

Suppose a trade publication posts a September 12 analysis of a feature launched on August 20. The article is new, but the feature is not a September development. It should enter this week's brief only if the article adds a material fact relevant to the decision, such as a disclosed limitation or availability change. The brief should describe that new information, not announce the launch again.

Time zones matter near the boundary. Define the window once and convert source timestamps consistently. Do not let an item appear in two weekly editions because one system interpreted midnight as UTC and another used local time.

Keep the exact timestamps in the ledger even if the reader sees friendly dates. When a source updates a page without a clear change log, treat the claimed update cautiously. A changed last-modified label does not prove that the fact you care about changed on that date.

Use a source ladder instead of a flat pile of links

A source ladder tells the research process where to look first and what each source can establish. For product availability, start with the vendor's release notes, documentation, status page, or pricing page. For a law or regulatory deadline, start with the responsible institution or official text. For a company filing, start with the filing. Reputable reporting can add interviews, market context, and independent observation.

Secondary sources are not automatically inferior. They may test a feature more carefully than a launch post or reveal a consequence the vendor omits. But they should not be used to establish an official price, effective date, plan entitlement, or legal requirement when the primary record is available.

Ask the model to state what each source supports. One link may establish the announcement; another may support the claim about user impact. Avoid attaching three links to a paragraph in a way that makes the reader guess which source backs which sentence.

Search snippets are discovery aids, not evidence. Open the page. Check that it contains the claim, applies to the right country or plan, and remains accessible. A source can be authoritative yet irrelevant: an EU institution page about one regulation does not establish obligations under every rule that contains the word AI.

For controversial or high-impact claims, seek independent confirmation and retain disagreement. The brief should say sources differ about the rollout date rather than selecting the most convenient date without explanation.

1. Official rule, filing, release note, documentation, or status page
2. Original research or dataset
3. Reputable reporting with named evidence
4. Expert analysis that links to its sources
5. Forums and social posts as leads only, unless the post itself is the event

Search in small branches, then merge candidates

One broad query tends to return famous pages and generic recaps. I break the contract into small research branches: each named competitor, each vendor, each jurisdiction, and each change type. Queries combine the entity with terms such as release notes, changelog, pricing, security, incident, consultation, enforcement, or documentation.

Each branch produces candidates, not finished bullets. Merge the candidates into a table with normalized entity, event, event date, source URL, source type, relevance, and a short evidence excerpt or paraphrase. The table makes duplicates visible before prose is written.

Do not interpret the absence of a search result as proof that nothing changed. It means the search did not find a qualifying change. That wording is less satisfying and more accurate. If an official changelog was checked directly, record the check even when it produced no candidate.

Search should also include known sources rather than relying entirely on ranking. Keep a watch list of official pages that repeatedly matter to the brief. Review the list quarterly: vendors move changelogs, regulators create new hubs, and old feeds stop updating.

The model can help propose new queries when a development uses unfamiliar language, but the contract should remain the filter. A clever query that finds an interesting unrelated story does not expand the audience's decision needs. Put possible scope changes in a separate note for the reviewer.

Research candidates for this brief contract: [PASTE CONTRACT]. Search each named entity and jurisdiction separately. Build a candidate table before writing prose. For each candidate include: normalized entity, specific event, event date, source publication/update date, discovery date, primary URL, optional context URL, the exact decision it could affect, and confidence. Search snippets are leads only; open every cited page. Do not infer that no change occurred merely because a query returned nothing.

Deduplicate events, not URLs or headlines

Ten articles can describe one announcement. Two similarly worded release notes can describe different regional rollouts. URL matching and title similarity are useful clues, but the unit of the brief is the underlying event.

Give each event a stable key based on the entity, change type, affected product or rule, and effective date where known. Store the key in a ledger with the date first covered and the claims already reported. A new source with the same event key is not a new item unless it adds a material development.

For example, a vendor announces a feature, later updates documentation with plan availability, and then expands it to another country. Those may be three brief-worthy developments because they change different facts. Five publications repeating the original launch remain one event.

When an item updates a previously covered event, label it update and state what is new. Link to the earlier brief if the audience needs history. Do not repeat the entire original narrative merely to make the new edition look substantial.

The ledger should also record rejected candidates and a short reason: outside window, duplicate, no decision impact, unsupported, or outside scope. This saves the next run from rediscovering and reconsidering the same weak item. Keep rejection notes concise so the ledger remains usable rather than becoming a second newsletter.

event_key | entity | event_date | first_covered | last_updated | claims_reported | primary_source | status | rejection_reason
acme-pricing-team-2026-09-10 | Acme | 2026-09-10 | 2026-09-14 | 2026-09-14 | Team plan price changed | [URL] | covered |

Write each item so it can answer four questions alone

A useful item answers: what changed, when did it happen, why does it matter to this reader, and what should they do next? If a bullet cannot answer those questions without relying on the headline, it is probably not ready.

Lead with the development, not with according to a recent article. Name the entity and product or rule. Use the event date, then mention the publication date only when it explains why the information is appearing now. Separate observed fact from your implication.

The why-it-matters sentence should connect directly to the contract's decision. A competitor's new export option may affect roadmap prioritization. A vendor outage may trigger a resilience review. A consultation may warrant monitoring but not an immediate product change. Avoid generic implications such as this highlights the growing importance of AI.

The action should be proportionate. Review the release notes, test the feature in a sandbox, ask the vendor a named question, update customer wording, or take no action and watch a date. Do not recommend a migration, purchase, legal conclusion, or public statement from a single unverified item.

End with labeled sources. If the brief is copied into email or chat, use links that remain usable outside the authoring tool. A citation icon visible only inside one AI interface is not a durable source trail for the recipient.

What changed — [one factual sentence].
When — event: [date]; source published/updated: [date].
Why it matters — [specific effect on this audience's decision].
Next step — [bounded action, owner, or monitor date].
Sources — Primary: [link]. Context: [link, if needed].
Confidence/gap — [high, medium, low plus unresolved point].

Run a verification pass that can fail the brief

Before distribution, open every primary link. Confirm that the page loads, supports the stated claim, applies to the correct product, plan, region, and date, and has not been mistaken for a similarly named feature. Check quoted numbers against the source character by character.

Then inspect the ledger. Has the event already been covered? If so, is the new detail material and clearly labeled as an update? Search the previous two editions for the entity and key phrases. The ledger is the main control, but the published output can catch a missed key.

Check that the event date falls inside the window or that the item explicitly explains the new information that justifies inclusion. Verify that the why-it-matters sentence is an inference when it is not stated by the source. Phrases such as this may affect our roadmap signal interpretation instead of presenting it as a vendor fact.

Review missing coverage. If a required official source could not be accessed, put that limitation at the top rather than in tiny text at the end. A brief with a known blind spot can still be useful if the reader knows where it is blind.

Finally, allow the run to fail. Broken search, zero accessible sources, stale copied content, unsupported claims, or an unavailable ledger should stop distribution. Reliability is not the percentage of Mondays on which a document appears. It is the percentage of documents whose contents meet the contract.

Audit this draft brief against its contract and event ledger. For every claim, open the cited source and report pass or fail for: source supports claim, correct entity/product, correct plan/region, event date, publication/update date, new versus previously covered, and action proportionality. Mark inferences explicitly. List inaccessible sources and required branches not checked. If any material claim lacks support or the ledger was unavailable, recommend DO NOT DISTRIBUTE and explain the exact fix.

Schedule only after two manual editions

Automation magnifies an unclear process. I produce at least two editions manually with the intended prompt, sources, ledger, and reviewer before putting the work on a schedule. The first run reveals missing scope rules. The second shows whether deduplication and the handoff work across time.

Measure the manual runs. Record research time, review time, candidate count, included count, duplicate count, unsupported claims caught, inaccessible sources, and whether a reader took an action. These numbers create a baseline for deciding whether scheduling helps.

When the workflow is stable, schedule the smallest useful version. The task may prepare a draft and notify the reviewer rather than sending directly to the whole team. Put the time zone in the schedule and the covered dates in the output. Define what happens on holidays, failed runs, and weeks with no qualifying changes.

Keep external actions behind approval. Researching and drafting are reversible. Sending a company-wide email, updating a customer page, creating a ticket, or changing a vendor setting affects other people or systems. The brief can recommend those steps without automatically taking them.

OpenAI's current Tasks guidance supports scheduled briefs and explains that saved tasks can be edited or paused. Product controls evolve, so check the live documentation for the interface you use. The durable design is independent of the button: clear input, checkable output, visible failure, and a named reviewer.

Sources: OpenAI Academy: creating and managing scheduled Tasks

Evaluate the first month by use, not volume

After four editions, review the system. How many items changed a decision, triggered a useful check, or prevented surprise? How many were duplicates, out of scope, or too vague to act on? Which required sources were regularly inaccessible? How long did review take?

A brief can be accurate and still be useless. If readers do not open it, ask whether the audience, timing, format, or threshold is wrong. Five detailed items may be too many for a Monday morning. A monthly exception report may fit better than a weekly digest for a slow-moving topic.

Look for source concentration. If every item comes from one publication, the search branches or source list may be too narrow. If every item comes from vendor announcements, the brief may lack independent context. If secondary commentary dominates despite available primary records, strengthen the source ladder.

Review false freshness: items that looked new because the article was new even though the event was old. Review repeated event keys and updates that did not explain what changed. These are signs that the ledger or date rules need adjustment.

Finally, ask readers to name one item they acted on. A smaller brief that reliably affects a decision is more valuable than a comprehensive newsletter that becomes background noise. Keep, narrow, reschedule, or stop the task based on that evidence. A recurring prompt should earn its place like any other workflow.

Editions delivered / expected
Material items included
Items that prompted a decision or check
Duplicates caught before publication
Unsupported claims caught in review
Required sources inaccessible
Median review minutes
Reader action rate
Recommended change for month two

Use one operating prompt, one ledger, and one reviewer

Once the contract has survived manual testing, combine it into an operating prompt. Tell the assistant what to research, which tools and sources it may use, how to handle inaccessible material, how to consult the ledger, and where to stop for review.

Do not bury the failure conditions at the bottom. Put no recycling, no unsupported claims, and no automatic distribution near the top. Require a run note containing the exact window, sources checked, searches that failed, candidates rejected, and ledger updates proposed.

The reviewer should be able to reproduce the core result without reading the whole chat. They need the draft brief, candidate table, source links, event ledger, and audit results. Store those artifacts in the approved workspace with appropriate permissions and retention.

As the brief evolves, version the contract and prompt. Note which edition first used the new rules. Otherwise a sudden change in item count may look like a change in the world when it is really a change in the filter.

The payoff is not an inbox that fills itself. It is a small, dependable research product: current enough to matter, narrow enough to read, sourced enough to verify, and honest enough to say when nothing changed.

Prepare a DRAFT recurring research brief using [CONTRACT VERSION] for [WINDOW AND TIME ZONE]. Read the event ledger before searching. Research every required branch, prioritizing primary sources. For each candidate record event date, source date, discovery date, event key, evidence, decision relevance, and confidence. Exclude duplicates unless a material new fact exists, then label it UPDATE and state exactly what is new. Produce at most [N] answer-first items with what changed, when, why it matters, next step, and direct sources. Zero items is valid. Report inaccessible sources and branches not checked. Run the verification checklist and stop for [REVIEWER] approval. Do not send, publish, create tickets, or change external systems.