Prompts library

Prompts library

Browse complete, copyable prompt templates for everyday, office, research, coding and creative tasks, with worked examples and checks.

Showing 1–10 of 15. Page 1 of 2.

everyday

Plan a realistic week

Turn competing commitments into a humane weekly plan.

Read and copy the complete prompt
Task
Turn competing commitments into a humane weekly plan.

Instructions
Plan my week from [COMMITMENTS], [FIXED EVENTS], [ENERGY PATTERN], and [ONE PRIORITY]. Separate fixed events from flexible work. Protect meals, sleep, and transition time. Offer a first draft, then list the two tradeoffs that matter most. Do not invent availability.

Expected output
A day-by-day table, assumptions, and two questions before any schedule is treated as final.

Checks
- All fixed events appear once.
- The plan contains buffers.
- Unknown availability is labeled.
Worked example: input, result and checks

Plan a realistic week: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Turn competing commitments into a humane weekly plan.

Instructions
Plan my week from Synthetic week14–20 September2026. Flexible: budget review90min, write workshop handout120min, collect supplies60min. One instance each. Sleep23:00–07:00 daily; lunch12:00–13:00; dinner18:00–19:00; work tasks only09:00–17:00. Sunday afternoon availability is unknown., Monday09:00–10:00 team meeting; Wednesday14:00–15:00 hall visit with30min travel before and after; Saturday14:00–16:00 workshop with30min setup before and30min cleanup after. No other commitments., Best focused work Tuesday and Thursday mornings. Add15min transition buffers around work blocks., and Finish the workshop handout before Friday17:00.. Separate fixed events from flexible work. Protect meals, sleep, and transition time. Offer a first draft, then list the two tradeoffs that matter most. Do not invent availability.

Expected output
A day-by-day table, assumptions, and two questions before any schedule is treated as final.

Checks
- All fixed events appear once.
- The plan contains buffers.
- Unknown availability is labeled.
  • All three flexible tasks fit within 09:00–17:00; the handout is scheduled before its deadline. No scheduled block overlaps meals, sleep, travel or another task.
  • The first draft reserves Monday 08:45–09:00 as non-work transition time and explicitly asks whether that is acceptable. Sunday afternoon remains unused.
  • No output edited. Treat the Monday buffer and supply-collection travel as two open scheduling choices.
Original output

This is a first draft for 14–20 September 2026, pending your answers below.

Every day: sleep 23:00–07:00, lunch 12:00–13:00, and dinner 18:00–19:00 are protected. Flexible work stays within 09:00–17:00.

Day Fixed events Flexible work and protected transitions
Monday 14 September Team meeting 09:00–10:00 Protect 08:45–09:00 and 10:00–10:15 as transitions; no flexible task scheduled.
Tuesday 15 September No fixed event beyond daily meals and sleep 09:00–09:15 transition; 09:15–11:15 write workshop handout (120 min); 11:15–11:30 transition.
Wednesday 16 September Hall visit 14:00–15:00; travel 13:30–14:00 and 15:00–15:30 Protect 13:15–13:30 and 15:30–15:45 as transitions; no flexible task scheduled.
Thursday 17 September No fixed event beyond daily meals and sleep 09:00–09:15 transition; 09:15–10:45 budget review (90 min); 10:45–11:00 transition.
Friday 18 September No fixed event beyond daily meals and sleep 13:00–13:15 transition; 13:15–14:15 collect supplies (60 min); 14:15–14:30 transition.
Saturday 19 September Setup 13:30–14:00; workshop 14:00–16:00; cleanup 16:00–16:30 Protect 13:15–13:30 and 16:30–16:45 as transitions around the complete event block.
Sunday 20 September No fixed event beyond daily meals and sleep No work scheduled. Afternoon availability unknown; this draft does not rely on it.

Assumptions

  • “Work tasks only 09:00–17:00” applies to active tasks; Monday’s 08:45 transition is protected preparation-free time, not extra work.
  • Setup, workshop, and cleanup form one continuous fixed event; the Wednesday travel and visit similarly form one continuous block. Buffers sit outside these blocks.
  • Each flexible task occurs once. The handout finishes Tuesday, ahead of Friday 17:00. Supply collection’s 60 minutes is provisionally treated as the full task, including any travel; extra travel has not been invented.
  • Unassigned time stays unassigned; Sunday afternoon is not assumed available.

The two tradeoffs that matter most

  1. Using Tuesday and Thursday mornings for the handout and budget protects your strongest focus time, but leaves less of that time for anything unexpected.
  2. Friday supply collection keeps the earlier week light, but leaves little recovery time if supplies are unavailable before Saturday.

Two questions before finalizing

  1. Does the 60-minute supply collection estimate include travel, and would you prefer it earlier in the week to allow time for shortages?
  2. Is a protected 08:45–09:00 transition acceptable on Monday, or does the 09:00 boundary also prohibit reserving transition time before work?

everyday

Make a decision brief

Compare a small set of personal options without false precision.

Read and copy the complete prompt
Task
Compare a small set of personal options without false precision.

Instructions
Help me decide between [OPTIONS] for [GOAL]. Use these criteria and weights: [CRITERIA]. Ask only for missing information that could change the ranking. Show evidence, assumptions, downside, and a reversible next step. Do not present a score as an objective truth.

Expected output
A compact comparison table followed by a conditional recommendation.

Checks
- Weights are visible.
- Evidence and inference are separated.
- The next step is reversible.
Worked example: input, result and checks

Make a decision brief: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Compare a small set of personal options without false precision.

Instructions
Help me decide between Fictional halls A:$80,capacity30,transit8/10,accessibility10/10; B:$100,capacity40,transit10/10,accessibility unknown; C:$60,capacity20,transit6/10,accessibility6/10. for Choose a hall for24 workshop participants, maximum budget$110. Capacity24 is mandatory.. Use these criteria and weights: Weights: cost40%,transit30%,accessibility30%. Cost scores A8/10,B6/10,C10/10. Use these supplied scores, not a new scoring formula. Accessibility is a mandatory prebooking check.. Ask only for missing information that could change the ranking. Show evidence, assumptions, downside, and a reversible next step. Do not present a score as an objective truth.

Expected output
A compact comparison table followed by a conditional recommendation.

Checks
- Weights are visible.
- Evidence and inference are separated.
- The next step is reversible.
  • Recalculation: A scores 8.6; B ranges from 5.4 to 8.4; C fails the 24-person capacity minimum.
  • The opening sentence says B could overtake A, contradicting the correct table and later paragraph.
  • Editor corrected the opening sentence and removed its obsolete self-correction. The first response remains available.
Original output

Hall A is the provisional choice; Hall B could rank higher if its accessibility score is above 7⅓/10, but neither should be booked until accessibility is checked.

Weights: cost 40%, transit 30%, accessibility 30%. These express your preferences, not an objective measure of hall quality. Scores below use only the supplied scoring scale.

Hall Supplied evidence Mandatory capacity and budget checks Preference-weighted score /10 Downside or uncertainty
A $80; capacity 30; cost 8, transit 8, accessibility 10 Pass: at least 24 places and no more than $110 0.4×8 + 0.3×8 + 0.3×10 = 8.6 $20 more than C, though C is ineligible; transit below B. Supplied accessibility score still requires a prebooking check.
B $100; capacity 40; cost 6, transit 10; accessibility unknown Pass 5.4 + 0.3×accessibility score; between 5.4 and 8.4 if the missing score is on the same 0–10 scale Accessibility unknown; costs $20 more than A.
C $60; capacity 20; cost 10, transit 6, accessibility 6 Fail: capacity below 24; budget passes Not ranked because it fails the capacity requirement Four too few places; low price cannot compensate for mandatory capacity.

Conditional recommendation: choose A if its accessibility check meets the workshop’s needs. Based on the supplied scores, A’s 8.6 exceeds B’s maximum possible 8.4; the opening threshold claim is therefore incorrect. B cannot outrank A on this scoring scheme, but could become the viable choice if A fails the mandatory accessibility check and B passes. If both fail, neither is suitable.

Evidence versus inference: prices, capacities, and scores are fictional supplied facts. The weighted totals and A’s provisional preference are calculations and judgments under your chosen weights. A 0.2-point advantage over B’s best case should not be treated as a precise real-world quality difference.

Missing information that could change the viable ranking: what accessibility features do participants require, and do A and B meet those requirements on verification?

Reversible next step: request accessibility details from both halls and keep A as the provisional selection, without paying or committing to a booking.

everyday

Explain a hard idea simply

Create an accurate explanation for a specified reader.

Read and copy the complete prompt
Task
Create an accurate explanation for a specified reader.

Instructions
Explain [IDEA] to [AUDIENCE] who already knows [PRIOR KNOWLEDGE]. Start with a one-sentence answer, then use one concrete example and one boundary case. Define necessary terms. Mark uncertainty and avoid a claim stronger than the evidence.

Expected output
Answer, example, boundary case, and a short “what this does not mean” section.

Checks
- The audience is respected.
- Every technical term is defined.
- Limits are explicit.
Worked example: input, result and checks

Explain a hard idea simply: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Create an accurate explanation for a specified reader.

Instructions
Explain weighted averages: groupA has10 people with mean score4, groupB has30 people with mean score8. All numbers are fictional. to adult community volunteers who already knows ordinary arithmetic mean but not weighted mean. Start with a one-sentence answer, then use one concrete example and one boundary case. Define necessary terms. Mark uncertainty and avoid a claim stronger than the evidence.

Expected output
Answer, example, boundary case, and a short “what this does not mean” section.

Checks
- The audience is respected.
- Every technical term is defined.
- Limits are explicit.
  • Independent calculation gives (10×4 + 30×8) / 40 = 7. The equal-group boundary example correctly gives 6.
  • The explanation defines the weight and distinguishes a mean from individual scores and spread.
  • No correction needed for the supplied numbers.
Original output

The combined mean score is 7, because the group of 30 people contributes three times as much to the overall average as the group of 10.

Example

A weighted mean is an average in which each value contributes according to its weight, meaning how much it counts. When combining group means, the weight is the number of people in each group, so each person counts equally.

Imagine combining the fictional scores of two groups of community volunteers:

  • Group A: 10 people with mean score 4 → total score 10 × 4 = 40.
  • Group B: 30 people with mean score 8 → total score 30 × 8 = 240.
  • Together: 40 people and total score 280 → combined mean 280 ÷ 40 = 7.

Simply averaging the two group means, (4 + 8) ÷ 2 = 6, would give the smaller group the same influence as the larger group. Counting all 40 people equally gives 7 instead.

Boundary case

If both groups had 10 people, their weights would be equal. Then the combined mean would be (10 × 4 + 10 × 8) ÷ 20 = 6, the same as the ordinary average of the two group means.

What this does not mean

A mean of 7 does not mean everyone scored 7, or even that anyone scored exactly 7. It does not tell us how spread out the scores are or why the groups differ. The result is exact if the supplied means are exact, the groups do not overlap, and scores use the same scale. If the means were rounded, 7 would be an approximate combined mean. These fictional numbers establish no claim about real volunteers.

office

Turn notes into actions

Convert messy meeting notes into accountable follow-up.

Read and copy the complete prompt
Task
Convert messy meeting notes into accountable follow-up.

Instructions
Process these meeting notes: [NOTES]. Extract decisions, open questions, action items, owner, due date, and dependencies. Preserve uncertainty when the notes do not assign an owner or date. Quote a short source phrase for each decision.

Expected output
Decisions, action table, unresolved questions, and a follow-up message draft.

Checks
- No owner is invented.
- Dates are copied or marked unknown.
- Decisions are traceable to notes.
Worked example: input, result and checks

Turn notes into actions: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Convert messy meeting notes into accountable follow-up.

Instructions
Process these meeting notes: Synthetic Paper Lantern project meeting, 7 September 2026.
N01 Ada: We decide to hold the volunteer workshop on 19 September, 14:00–16:00.
N02 Bo: I will reserve the community hall by 9 September.
N03 Chen: We decide to cap registration at 24 people.
N04 Ada: I will publish the registration page by 10 September, after Bo confirms the hall.
N05 Bo: We could buy paid social ads. Ada: This is only a proposal; no approval today.
N06 Chen: I will count the existing supplies by 8 September.
N07 Ada: Someone needs to check accessibility by 11 September; no owner assigned yet.
N08 Bo: I will send the volunteer reminder; we have not set the deadline.
N09 Chen: We decide to reuse existing supplies before buying replacements.
N10 Ada: We have not confirmed whether the hall has a working projector.
N11 Bo: The hall booking must happen before the registration page is published.
N12 Chen: We will discuss the ad proposal at the next meeting; it is not a decision. Entire input is fictional. No messages should actually be sent.. Extract decisions, open questions, action items, owner, due date, and dependencies. Preserve uncertainty when the notes do not assign an owner or date. Quote a short source phrase for each decision.

Expected output
Decisions, action table, unresolved questions, and a follow-up message draft.

Checks
- No owner is invented.
- Dates are copied or marked unknown.
- Decisions are traceable to notes.
  • Three confirmed decisions, source IDs, five operational actions, the page-booking dependency and both missing action fields are preserved.
  • The first table also includes a sixth row for discussing the ad proposal at the next meeting. It labels this as discussion only, but mixes the next agenda with operational actions.
  • Editor moved the ad discussion out of the five-row action table and into the follow-up agenda. No name or deadline was supplied to fill a gap.
Original output

The workshop date, registration cap, and supply-reuse policy are decided; hall confirmation, accessibility ownership, reminder timing, and projector availability remain unresolved. This is a record of a fictional meeting, and the message below is a draft only.

Decisions

Decision Short source phrase
Hold the workshop on 19 September 2026, 14:00–16:00 N01: “We decide to hold the volunteer workshop on 19 September, 14:00–16:00.”
Cap registration at 24 people N03: “We decide to cap registration at 24 people.”
Reuse existing supplies before buying replacements N09: “We decide to reuse existing supplies before buying replacements.”

Paid social ads are a proposal, not an approved decision (N05, N12).

Action table

Dates below are in September 2026, using the meeting’s stated year.

Action Owner Due date Dependencies / constraints Source
Reserve the community hall Bo 9 September No prerequisite stated; booking must precede page publication N02, N11
Publish the registration page Ada 10 September Bo must confirm the hall first; if confirmation is delayed, publication is blocked N04, N11
Count existing supplies Chen 8 September No prerequisite stated; count can inform application of the reuse-first decision N06, N09
Check accessibility Unassigned 11 September No dependency stated N07
Send the volunteer reminder Bo Unknown / not set No dependency stated N08
Discuss the paid-ad proposal Unassigned Next meeting; calendar date unknown Discussion only; approval still required N12, N05

The supply count informing reuse is an inference, not a separately agreed dependency. Projector verification needs follow-up, but the notes do not assign an action, owner, or deadline for it.

Unresolved questions

  • Who will own the accessibility check due 11 September?
  • When must Bo send the volunteer reminder?
  • Does the hall have a working projector, and who will verify it by when?
  • Has the hall been reserved and confirmed? The notes record a commitment, not completion.
  • When is the next meeting, and will paid ads be approved then? No advertising spend is authorized by these notes.

Follow-up message draft

“Thanks, everyone. Our agreed workshop is 19 September 2026, 14:00–16:00, with registration capped at 24. We will reuse existing supplies before buying replacements.

Chen will count supplies by 8 September. Bo will reserve the hall by 9 September. Ada will publish the registration page by 10 September after Bo confirms the hall; publication depends on the booking.

We still need an owner for the accessibility check due 11 September, a deadline for Bo’s volunteer reminder, and confirmation of a working projector, including who will check and by when. Please also confirm the next meeting date so the paid-ad proposal can be discussed. Paid ads have not been approved.”

Meeting notes converted into an action table in a GPT 6 prompt example, with missing owners and deadlines left unspecified.
Actual browser rendering of the first Codex response. The sixth discussion row is moved to the next-meeting agenda in the editor correction.

office

Rewrite for stakeholders

Adapt one update for different readers while retaining facts.

Read and copy the complete prompt
Task
Adapt one update for different readers while retaining facts.

Instructions
Rewrite [UPDATE] for [STAKEHOLDER TYPES]. Keep factual content stable. For each audience, lead with the decision or impact, then risks, required action, and timing. Keep unknowns visible and flag any sentence that needs confirmation.

Expected output
One version per audience plus a shared fact ledger.

Checks
- Facts do not drift between versions.
- Audience specific actions are clear.
- Claims requiring a source are identified.
Worked example: input, result and checks

Rewrite for stakeholders: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Adapt one update for different readers while retaining facts.

Instructions
Rewrite Synthetic update: Workshop date 19 September 2026; session 14:00–16:00; capacity24; allocated budget$180; volunteers needed4; registration page due10 September. The hall booking and projector availability are not confirmed. Ada owns the page. Do not promise admission or a confirmed venue. for project sponsor,volunteers,participants. Keep factual content stable. For each audience, lead with the decision or impact, then risks, required action, and timing. Keep unknowns visible and flag any sentence that needs confirmation.

Expected output
One version per audience plus a shared fact ledger.

Checks
- Facts do not drift between versions.
- Audience specific actions are clear.
- Claims requiring a source are identified.
  • All three rewrites preserve September 19, 14:00–16:00, capacity 24, budget $180, four volunteers, Ada and the September 10 page deadline.
  • Each version retains the unconfirmed hall and projector. Audience actions are explicitly proposals, not invented assignments.
  • No factual correction. A public announcement could be shortened once the venue and response channel are known.
Original output

All versions below describe the same fictional update. “Requested action” is proposed wording for the audience, not evidence of an existing assignment. No version confirms a venue or guarantees admission.

Project sponsor

The workshop is scheduled for 19 September 2026, 14:00–16:00, with capacity for 24, an allocated budget of $180, and a need for 4 volunteers. The hall booking and projector availability remain unconfirmed. Requested action: help resolve those two open items and support filling the volunteer need. Ada owns the registration page, which is due 10 September; no deadline or owner for confirming the hall or projector is supplied. [Needs confirmation before adding a commitment: who will resolve each open item, and by when.]

Volunteers

We need 4 volunteers for the workshop on 19 September 2026, 14:00–16:00, serving up to 24 participants with an allocated budget of $180. The hall booking and projector availability remain unconfirmed. Requested action: indicate your interest and availability for the session; roles and any time needed outside the session still need confirmation. Ada owns the registration page, due 10 September; no volunteer response deadline is supplied. [Needs confirmation before adding a commitment: volunteer roles, full attendance times, response channel, and response deadline.]

Participants

The workshop is scheduled for 19 September 2026, 14:00–16:00, with capacity for 24 participants; this update does not reserve or guarantee a place. The hall booking and projector availability remain unconfirmed. Requested action: check the registration page once it is published for the registration process and venue updates. Ada owns that page, which is due 10 September; the due date is not a promise that it is already available or will definitely be live then. The workshop has an allocated budget of $180 and needs 4 volunteers. [Needs confirmation before adding a commitment: the registration link, admission process, and confirmed venue.]

Shared fact ledger

Item Supplied fact / status Source and limit
Workshop date 19 September 2026 Synthetic update; no real-world verification
Session 14:00–16:00 Time zone and volunteer setup/cleanup times not supplied
Capacity 24 Capacity is not guaranteed admission
Allocated budget $180 Allocation, not spending or a participant fee; currency denomination beyond “$” not supplied
Volunteers needed 4 Recruitment status, roles, and response deadline not supplied
Registration page due 10 September Due date, not completion; year understood as 2026 from workshop context
Page owner Ada No other ownership supplied
Hall booking Not confirmed Venue must not be presented as secured
Projector availability Not confirmed Availability must not be promised

The factual statements above come only from the supplied fictional update. Audience actions are requests, not new project facts; bracketed items explicitly identify details requiring confirmation before they can be stated as commitments.

office

Build a process checklist

Make a repeatable checklist from a narrative procedure.

Read and copy the complete prompt
Task
Make a repeatable checklist from a narrative procedure.

Instructions
Convert [PROCESS DESCRIPTION] into a checklist for [ROLE]. Include prerequisites, ordered steps, decision points, evidence to retain, and a stop condition. Separate required controls from helpful suggestions. Do not fill gaps with assumptions.

Expected output
A numbered checklist, decision tree in prose, and evidence record fields.

Checks
- Prerequisites come first.
- Stop conditions are visible.
- Each control has evidence.
Worked example: input, result and checks

Build a process checklist: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Make a repeatable checklist from a narrative procedure.

Instructions
Convert Fictional supplies handover: before collection, receiver must have signed inventory and assigned pickup slot. Count each item with sender, compare to inventory, photograph any damaged item. If counts differ, stop signing and refer to coordinator; coordinator must reconcile before signing. If no difference, both sign, receiver stores one copy, sender stores another. A colored folder is suggested, not required. Do not transport damaged electrical items. into a checklist for volunteer receiver. Include prerequisites, ordered steps, decision points, evidence to retain, and a stop condition. Separate required controls from helpful suggestions. Do not fill gaps with assumptions.

Expected output
A numbered checklist, decision tree in prose, and evidence record fields.

Checks
- Prerequisites come first.
- Stop conditions are visible.
- Each control has evidence.
  • The checklist retains both prerequisites, joint counts, damage photos, reconciliation before signatures and two retained copies.
  • The damaged-electrical-item transport stop is explicit; the colored folder stays optional. No retention period or disposal method is invented.
  • No correction needed for the supplied process.
Original output
  1. Prerequisites — required before collection: Have the signed inventory and an assigned pickup slot. Evidence: inventory reference and signature present; assigned slot record. If either is missing, the stated prerequisites are not met: do not start collection.
  2. Count every item together with the sender. Compare each count with the inventory. Evidence: item identifier, inventory quantity, joint count and difference.
  3. Photograph every damaged item. Evidence: damaged item identifier and photo reference.
  4. Decision — any count difference: Stop signing and refer the discrepancy to the coordinator. The coordinator must reconcile it before signing resumes. Evidence: discrepancy, referral, coordinator's reconciliation and outcome. Do not treat referral alone as reconciliation.
  5. When there is no difference, both receiver and sender sign. For a discrepancy case, sign only after the coordinator has reconciled it. Evidence: both signatures and, where applicable, the reconciliation record.
  6. Receiver stores one copy; sender stores another. Evidence: receiver copy location and sender copy location or storage confirmation.
  7. Transport stop — damaged electrical items must not be transported. Evidence: affected item identifiers, damage photo references and a record that those items were not transported. This restriction still applies when counts match and signatures are complete.

Decision tree in prose: Before collection, check the signed inventory and pickup slot. If either is absent, collection cannot begin. Otherwise count with the sender, compare with the inventory and photograph damage. If counts differ, stop signing, refer to the coordinator and wait for reconciliation before signing. If counts match, both sign. Retain one copy each. Independently of the count decision, do not transport damaged electrical items.

Helpful suggestion: A colored folder may make the copies easier to find. It is optional; no evidence of folder color is required.

Evidence record fields: inventory reference; prerequisite signature present; assigned pickup slot; receiver and sender identifiers; item identifier; inventory quantity; joint count; difference; damage description; photograph reference; coordinator referral; reconciliation and outcome; receiver signature; sender signature; receiver copy location; sender copy location/confirmation; damaged electrical item not transported.

These fields organize evidence for the stated controls; the procedure does not specify a form, retention period, who signs the prerequisite inventory, the reconciliation method, or disposal/repair arrangements. Do not invent those requirements.

research

Create a source matrix

Organize research claims and the sources that support them.

Read and copy the complete prompt
Task
Organize research claims and the sources that support them.

Instructions
Build a source matrix for [QUESTION]. Use only the supplied sources: [SOURCES]. For each claim, record source, publication date, exact supporting passage in your own words, confidence, contradictions, and what remains unknown. Distinguish official fact, reported observation, inference, and anecdote.

Expected output
Claim matrix followed by a short evidence-bounded answer.

Checks
- Every claim has a source or is labeled inference.
- Dates are recorded.
- Conflicts are not silently resolved.
Worked example: input, result and checks

Create a source matrix: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Organize research claims and the sources that support them.

Instructions
Build a source matrix for When did registration open, who can attend, and is evening demand established?. Use only the supplied sources: All sources below are explicitly fictional training materials, not claims about real organizations.
S1 simulated project announcement,2026-09-01: Paper Lantern registration opens12 September. The workshop accommodates24 people. Availability outside the local community has not been decided.
S2 organizer field observation,2026-09-03: I saw the registration form accepting a submission on11 September. I did not check whether this was a rehearsal.
S3 participant interview,2026-09-04: I prefer an evening session; one friend also asked about evening availability. I do not know the actual timetable.. For each claim, record source, publication date, exact supporting passage in your own words, confidence, contradictions, and what remains unknown. Distinguish official fact, reported observation, inference, and anecdote.

Expected output
Claim matrix followed by a short evidence-bounded answer.

Checks
- Every claim has a source or is labeled inference.
- Dates are recorded.
- Conflicts are not silently resolved.
  • Every claim is traced to S1, S2 or S3; sources are clearly fictional and their dates/types remain distinct.
  • The response catches an additional chronology problem: S2 reports a September 11 observation despite a September 3 publication date. It does not silently resolve the conflict.
  • No factual correction. The synthetic date conflict remains part of the example.
Original output

All evidence below is fictional training material. Confidence describes what each source supports, not independent verification of a real event. Supporting passages are precise paraphrases, not quotations.

Claim Type Source and publication date Supporting passage, paraphrased Confidence Contradictions or tension Unknown
Registration was announced to open on 12 September. Official announcement within the fictional scenario S1, simulated project announcement, 2026-09-01 Paper Lantern's stated registration opening is 12 September. High for the announced date; insufficient for actual opening S2 reports a submission accepted on 11 September. Whether the announced date was changed; actual public opening time; year/time zone are not explicit in the passage.
A form reportedly accepted a submission on 11 September. Reported observation S2, organizer field observation, 2026-09-03 The observer says they saw a submission accepted on 11 September and did not check if it was a rehearsal. Limited: unverified observation with a chronology problem The claimed observation date is later than S2's publication date if both refer to September 2026; also earlier than S1's announced opening. Correct publication/event date, year, whether rehearsal, and whether acceptance meant public registration was open.
Workshop capacity is 24 people. Official announced fact within the scenario S1, 2026-09-01 The workshop can accommodate 24 participants. High for announced capacity No contradiction supplied Remaining places and actual attendance; capacity does not establish eligibility.
Attendance availability beyond the local community was undecided. Official status within the scenario S1, 2026-09-01 Whether people outside the local community may participate has not been settled. High for status on the announcement date No later eligibility decision supplied Final eligibility, definition of the local community, and other admission conditions; the passage does not guarantee admission to every local resident.
One interviewee prefers evenings and reports one friend asking about evening availability. Anecdote; friend's interest is secondhand S3, participant interview, 2026-09-04 The speaker would prefer an evening session, knows of a friend's inquiry, and does not know the timetable. High that the preference was reported; low as evidence of broad demand No conflicting preference supplied, but no corroboration or sample frame either Friend's actual preference, wider demand, willingness to attend and actual timetable.
Evening demand is not established by these materials. Evidence-bounded inference S3, 2026-09-04; no demand study in S1 or S2 One preference and one reported inquiry cannot establish population-level demand. High for insufficiency of the supplied evidence Does not contradict the existence of some evening interest A broader, defined sample and attendance intent by time slot are needed.

Registration was announced for 12 September, but its actual opening cannot be established: S2's 11 September report may involve rehearsal and has an unresolved publication/event chronology. Eligibility outside the local community was undecided, and no complete eligibility policy is supplied. Evening interest appears in one interview, but evening demand is not established. None of these gaps should be silently resolved.

research

Synthesize interviews

Find patterns in interview notes without turning anecdotes into statistics.

Read and copy the complete prompt
Task
Find patterns in interview notes without turning anecdotes into statistics.

Instructions
Synthesize these interviews: [TRANSCRIPTS]. Group observations by job, pain, workaround, desired outcome, and contradiction. Include representative paraphrases with interview IDs. Count only the supplied interviews and label the sample as directional, not representative.

Expected output
Theme table, counterexamples, opportunity hypotheses, and follow-up questions.

Checks
- Interview IDs are retained.
- No prevalence claim exceeds the sample.
- Counterevidence is included.
Worked example: input, result and checks

Synthesize interviews: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Find patterns in interview notes without turning anecdotes into statistics.

Instructions
Synthesize these interviews: Synthetic interviews. I01: I cannot attend mornings; evening works. I02: Morning is best; evenings conflict with childcare. I03: Evening works, but buses are infrequent. I04: Morning works; I need wheelchair access. I05: Evening is best; I also need wheelchair access. I06: Either time works; free admission matters more.. Group observations by job, pain, workaround, desired outcome, and contradiction. Include representative paraphrases with interview IDs. Count only the supplied interviews and label the sample as directional, not representative.

Expected output
Theme table, counterexamples, opportunity hypotheses, and follow-up questions.

Checks
- Interview IDs are retained.
- No prevalence claim exceeds the sample.
- Counterevidence is included.
  • Source counts independently match: evening 3/6, morning 2/6, either 1/6; wheelchair access 2/6 and bus difficulty 1/6.
  • I02 is retained as a counterexample to an evening-only choice, and overlapping themes are not summed as separate people.
  • No correction needed for the supplied six interviews.
Original output

The six synthetic interviews (I01–I06) are a directional, nonrepresentative sample. Counts below describe only these notes. Themes overlap and must not be added together as unique participants.

Theme Job / desired outcome Pain or constraint Workaround reported Representative paraphrases and supplied-sample count Contradiction / limit
Fit attendance around daily commitments Attend at a workable time I01 cannot attend mornings; I02 has evening childcare conflicts None reported I01: evenings work, mornings do not. I02: mornings are best, evenings clash with childcare. Evening is workable or preferred in I01, I03, I05 (3/6); morning is workable or preferred in I02, I04 (2/6); I06 accepts either (1/6). These are stated categories, not exclusive counts of everyone who could attend each slot. I03 and I05 do not reject mornings; I04 does not reject evenings.
Reach an evening session Get to the event at a suitable time Infrequent buses None reported I03: evening works, but bus frequency is a problem (1/6). A workable session time does not establish a workable journey. No route, cost or last-bus details.
Access the venue in a wheelchair Participate in an accessible setting Wheelchair access is needed; an inaccessible current venue is not established None reported I04: morning works and wheelchair access is needed. I05: evening is best and wheelchair access is needed (2/6). The same access need spans different timing preferences.
Keep participation affordable Attend without an admission charge Free admission matters more than time None reported I06: either time works; free entry matters more (1/6). Do not infer willingness or ability to pay, or that timing is unimportant to everyone.

Counterexamples: I02 directly challenges an evening-only choice; I01 challenges a morning-only choice. I06 challenges treating time as every participant's main concern. I03 shows that an evening preference can coexist with a transport barrier. I04 and I05 show that accessibility cannot be assigned to just one time slot.

Opportunity hypotheses, not established solutions:

  • Offering a choice of morning and evening sessions may accommodate the conflicting constraints in I01 and I02; validate demand and operational feasibility before choosing two sessions.
  • Aligning an evening session with usable bus times may help I03; verify the actual journey and return trip.
  • A wheelchair-accessible venue and clear access information may support I04 and I05; confirm the specific access requirements and venue conditions.
  • Free admission may remove a priority concern for I06; check whether that matters to other participants and whether funding permits it.

Follow-up questions:

  1. For I01–I06, which exact dates and start/end times are possible, preferred or impossible?
  2. For I02, would a different evening time help, or is evening attendance unavailable regardless of timing?
  3. For I03, which route, journey times and last return service constrain attendance? Is any workaround already used?
  4. For I04 and I05, what entrance, circulation, seating and toilet access is required, and what needs checking at the proposed venue?
  5. For I06 and then the others, would a charge prevent attendance, and are transport or other costs also relevant?
  6. Across a broader recruited sample, do these themes recur? Record recruitment and nonresponses before interpreting demand.

research

Compare current options

Produce a current, source linked comparison for a purchase or policy choice.

Read and copy the complete prompt
Task
Produce a current, source linked comparison for a purchase or policy choice.

Instructions
Compare [OPTIONS] for [USE CASE] using current primary sources where available. Record price date, eligibility, limits, region, and important exclusions. Keep observed facts separate from your recommendation. If a page is dynamic or inaccessible, identify the missing field and the source needed to complete it.

Expected output
Comparison table, evidence notes, unknowns, and a conditional recommendation.

Checks
- Region and date are explicit.
- Price is not treated as permanent.
- Missing comparison fields are identified.
Worked example: input, result and checks

Compare current options: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Produce a current, source linked comparison for a purchase or policy choice.

Instructions
Compare Visual Studio Code and Zed for A community organizer editing Markdown on macOS and Windows with no mandatory paid AI subscription. Read current primary sources at https://code.visualstudio.com/docs/supporting/faq, https://code.visualstudio.com/docs/setup/setup-overview, https://zed.dev/docs, and https://zed.dev/pricing. Cite exact pages and access date. Compare core editor access separately from optional hosted AI; do not purchase anything. using current primary sources where available. Record price date, eligibility, limits, region, and important exclusions. Keep observed facts separate from your recommendation. If a page is dynamic or inaccessible, identify the missing field and the source needed to complete it.

Expected output
Comparison table, evidence notes, unknowns, and a conditional recommendation.

Checks
- Region and date are explicit.
- Price is not treated as permanent.
- Missing comparison fields are identified.
  • The comparison links official platform, Markdown and pricing pages and dates the source check. It separates free core editing from optional paid AI.
  • The VS Code FAQ timed out twice. The response uses other official pages and leaves unsupported regional or allowance details open. No purchase or hands-on editor benchmark occurred.
  • No result silently filled from memory. Recheck the linked pricing pages before choosing paid AI; the free Markdown comparison does not require it.
Original output

Both editors can meet the requirement to edit Markdown on macOS and Windows without a mandatory paid AI subscription. My conditional recommendation is VS Code for a group that wants a documented built-in Markdown preview; Zed is also a viable free-editor candidate, subject to a device and document trial.

Access and price snapshot: 2026-09-07 UTC. Region: user's country unspecified; this comparison uses the public English-language sites, not a verified country-specific checkout. Zed displays dollar prices; currency code, local taxes and regional eligibility were not established by the retrieved page. Prices and allowances may change.

Dimension Visual Studio Code Zed
Core editor access Free on macOS and Windows; core editing needs no account. AI can be skipped. Setup overview, redirected to Get started Personal is listed at $0, and AI can be disabled. The page describes it as suitable for users who do not want AI. Pricing
Platform eligibility macOS and Windows installers are documented; exact supported OS versions and hardware need checking for the group's devices. Get started Both platforms supported. macOS page specifies 10.15.7+ and Intel/Apple Silicon. Windows page offers stable builds and requires a DirectX 11 compatible GPU. macOS, Windows
Markdown workflow Built-in Markdown editing and live side-by-side preview; spell checking needs an extension. Markdown documentation Native Markdown support, list continuation and optional Prettier formatting. Default trailing-whitespace removal can affect Markdown hard breaks; configure it if needed. Preview parity was not established by this page. Markdown documentation
Optional hosted AI GitHub sign-in connects Copilot. The setup page describes a Free plan with monthly suggestions and AI credits, but gives no numerical allowance or paid-plan price. These are not a core editor charge. Get started Personal lists 2,000 accepted edit predictions, with reset period not stated there. Optional Pro is $10/month, includes $5 tokens and unlimited predictions; additional hosted use is API list price +10%. Pricing
Other AI access and exclusions Own API keys are possible; that is not a promise of free provider usage. Some Copilot-dependent features are excluded from own-key access. Get started Personal permits own keys/external agents; separate provider charges may apply. Pro's two-week trial has $20 credits; Claude Fable, Claude Opus and GPT Pro are excluded. Business is separate at $30/seat/month, without fixed LLM credits. Pricing

Evidence notes: I read the requested Zed documentation landing page and pricing page, then the linked platform and Markdown pages. The requested VS Code setup URL redirects to the cited Get started page. The requested VS Code FAQ timed out twice, so I have not claimed to verify its contents. All linked pages above were accessed on 2026-09-07; these are documentation observations, not hands-on performance measurements.

Unknowns that matter before adopting a policy: exact VS Code OS/hardware support for the group's machines (official system requirements); Zed's minimum Windows version (installation requirements); current Copilot numerical limits and paid pricing (GitHub's official Copilot plans); Zed prediction reset period (plans/billing documentation); and country-specific AI availability, currency and tax treatment (vendor terms and regional billing information). No nonprofit discount or special eligibility was verified. Zed's listed trial does not substitute for enduring free core access, and own-key usage does not eliminate provider costs.

If the priority is straightforward Markdown editing and preview with no AI budget, start with VS Code and leave optional AI unused. If the group prefers Zed's interface, test representative Markdown files on one Mac and one Windows machine, especially whitespace preservation and preview needs, before standardizing. The sources establish viable access paths; they do not establish which interface your volunteers find easier. No purchase was made.

coding

Review a code change

Review a diff for correctness, regressions, and missing verification.

Read and copy the complete prompt
Task
Review a diff for correctness, regressions, and missing verification.

Instructions
Review this diff for [REPOSITORY CONTEXT]: [DIFF]. Prioritize user impact, correctness, security, data loss, compatibility, and test gaps. Cite file and line. Do not praise style unless it affects behavior. If behavior cannot be established from the diff, state what must be checked.

Expected output
Findings ordered by severity, questions, and a focused verification plan.

Checks
- Findings are actionable.
- Severity reflects impact and likelihood.
- Unknown behavior is not asserted.
Worked example: input, result and checks

Review a code change: recorded example

Codex · GPT-6 Astra · medium reasoning ·

Task
Review a diff for correctness, regressions, and missing verification.

Instructions
Review this diff for Small fictional ticket-pricing utility; cents integer,discount percentage0–100,input arrays must remain unchanged.: Synthetic TypeScript repository. Prices are whole cents, percent is 0–100, and callers retain ownership of the original array.
File src/tickets.ts, NEW line numbers shown:
1 export function discountedCents(cents: number, percent: number) {
2   return Math.round(cents * (1 - percent));
3 }
4 export function cheapestFirst(items: { cents: number }[]) {
5   return items.sort((a, b) => a.cents - b.cents);
6 }
Both functions are newly added. Review correctness, not formatting.. Prioritize user impact, correctness, security, data loss, compatibility, and test gaps. Cite file and line. Do not praise style unless it affects behavior. If behavior cannot be established from the diff, state what must be checked.

Expected output
Findings ordered by severity, questions, and a focused verification plan.

Checks
- Findings are actionable.
- Severity reflects impact and likelihood.
- Unknown behavior is not asserted.
  • The two seeded defects are correctly located at lines 2 and 5: percent needs division by 100; sort mutates the caller array.
  • Independent executable tests reproduce both failures and pass after the proposed changes. Other concerns are separated as questions, not reported defects.
  • No correction to the review. A separate test receipt contains before/after values and assertions.
Original output
  1. [P1] Divide the percentage by 100 before applying it — src/tickets.ts:2. The contract supplies a value from 0 to 100, but the expression treats it as a fraction. For 1,000 cents at 20%, it returns −19,000 cents instead of 800; at 1%, it returns zero. This breaks ordinary pricing inputs and can produce negative prices. Change the expression to Math.round(cents * (1 - percent / 100)), subject to confirming the rounding rule below.

  2. [P1] Sort a copy to preserve the caller's array — src/tickets.ts:5. Array.prototype.sort reorders items in place and returns that same array. Calling this with [200, 100] changes the caller's sequence to [100, 200], directly violating the explicit ownership contract and potentially changing other displays or processing that share it. Use [...items].sort((a, b) => a.cents - b.cents). A shallow array copy is enough to prevent this sort from reordering the original; it does not promise independent item objects.

Questions to resolve from the surrounding contract, not assumed defects:

  • What rounding rule applies to fractional-cent discount results? Whole-cent output does not specify nearest versus floor/ceiling or tie handling.
  • Are nonfinite numbers, negative prices, fractional percentages and values outside 0–100 rejected by callers or by these functions? The diff does not establish validation responsibility.
  • What maximum cents value is supported? JavaScript number precision may matter at large values, but no such input range is supplied.
  • Are returned objects intended to be shared with the input, or does the API promise a deep copy? Only preservation of the original array is stated.

Focused verification plan:

  • Discount boundaries: discountedCents(1000, 0) === 1000, (1000, 100) === 0, (1000, 20) === 800, (1000, 1) === 990, and zero cents at valid discounts remains zero.
  • Add fractional-cent cases after agreeing the rounding rule; for nearest-cent rounding, (101, 50) === 51.
  • For [a:{cents:200}, b:{cents:100}], assert ascending result [b,a], original order still [a,b], and result array is a different reference. Repeat with a frozen input array to expose accidental mutation.
  • Cover empty, single-item and equal-price arrays. Check any explicit tie-order requirement if one exists.
  • Run the repository's existing type check and tests, then examine call sites for discount validation, pricing expectations and array ownership. No tests or call-site inspection were performed from this supplied diff; no security exploit or actual data loss is established.