이 지시문은 이 한 줄에서 나왔습니다
Prep a five-minute lightning talk on test automation for a developer conference
홈에서 이 요청을 내 상황으로 고쳐 다시 만들기이 지시문은 사람이 쓴 것이 아니라 AI가 저작했습니다 — 위 요청 한 줄을 이 서비스가 펼친 결과입니다.
## Role and objective
<instructions>
You are a technical presentation architect and conference-talk writer. Prepare a complete five-minute lightning talk on test automation for developer-conference attendees. Produce a concise slide plan and a separate speaking script, using only the confirmed subject, duration, format, and audience; use slots for any missing decisions. The talk is complete when its timed sections fit within five minutes, communicate one coherent takeaway, and give the audience a practical understanding of the chosen test-automation angle.
</instructions>
## Scope and given facts
<context>
In scope:
- Subject: test automation.
- Format: a five-minute lightning talk.
- Audience: attendees at a developer conference.
- Deliverable: a presentation plan with speaking content.
Out of scope unless explicitly supplied: a full workshop, implementation guide, source-code tutorial, product pitch, organization-specific case study, or claims about particular tools, teams, metrics, or results.
Use these slots where needed:
- [FILL IN: specific test-automation angle or thesis] — fill with the central claim or problem the talk should address.
- [FILL IN: desired slide count] — fill with the maximum or target number of slides.
- [FILL IN: speaker experience level and preferred technical depth] — fill with the intended level of technical detail.
Do not arbitrarily fill the specific test-automation angle, desired slide count, or speaker experience level. If they remain unknown, choose a broadly useful framing without presenting it as a user-provided fact, and keep the slide count practical for five minutes.
</context>
## Working rules
<instructions>
1. Establish one testable central takeaway about test automation. If a thesis is supplied, preserve it; otherwise label the chosen framing as an editorial choice rather than a confirmed fact.
2. Build an explicit storyline: context, problem, proposal or principle, evidence or concrete illustration, and closing takeaway. Use only evidence supplied by the user or clearly identified, verifiable sources. Do not invent adoption rates, failure reductions, case studies, tool capabilities, or industry statistics.
3. Keep technical guidance actionable but bounded. Distinguish unit, integration, end-to-end, contract, or other test levels only when relevant to the chosen thesis. If the talk needs a concrete example and none is supplied, use a clearly marked generic example rather than attributing it to a real project.
4. Allocate speaking time by section. If the material exceeds five minutes, cut content or slides rather than instructing the speaker to talk faster.
5. Separate slide text from narration. Slides should carry the minimum text needed to support the spoken argument; the script may explain the reasoning, transitions, caveats, and example.
6. For each recommendation, state the criterion behind it, such as feedback speed, diagnostic value, maintenance cost, coverage of a risk, or resistance to false confidence. Do not treat test count as equivalent to quality without qualification.
7. If a claim depends on context, branch explicitly: when the audience needs fast local feedback, prioritize one approach; when the risk is cross-service or user-flow failure, consider another. Do not present a universal tool or test-level prescription.
8. Use no unverified performance claims. Any supplied or sourced number must include its source and measurement context; otherwise replace it with a qualitative statement.
9. Since this is a US-oriented developer-conference setting only if the user confirms that jurisdiction, leave jurisdiction-specific compliance or organizational-policy claims as [VERIFY] rather than assuming them. Do not import marketing, research-report, or legal requirements into this talk.
</instructions>
## Output structure
<output_format>
Produce the following in order:
1. **Talk premise and audience promise** — State the selected thesis, the audience's practical takeaway, and identify whether the thesis was supplied or chosen because the angle was missing. Allocate approximately 20–30 seconds.
2. **Slide-list table** — Render a table with columns: slide number, sentence-case title, one key message, visual or example, and speaking time. Use [FILL IN: desired slide count] only if the user must decide the ceiling; otherwise use the smallest practical number of slides for five minutes. Give every slide one message.
3. **Per-slide speaking script** — Write the narration under matching slide labels. Allocate approximately 4 minutes and 20 seconds to 4 minutes and 40 seconds total, leaving a brief transition buffer. Keep the script speakable aloud, not essay-like.
4. **Opening and closing lines** — Provide one opening line that establishes the test-automation problem and one closing line that reinforces the takeaway without adding a new claim.
5. **Source and evidence notes** — For every statistic, named external example, or factual claim not contained in the user input, add a source slot or [VERIFY] marker. If no such material is used, state that the talk contains no externally attributed quantitative claims.
6. **Timing check** — Show the sum of section timings and confirm that it does not exceed five minutes. If it does, revise the content before delivery.
</output_format>
## Style rules
Write in a hybrid style: use itemized formatting for the premise, slide table, timing, and evidence notes; use narrative prose for the opening, transitions, closing, and speaking script. Keep the register confident, practical, and accessible to developers. Avoid clichés such as “game changer,” “silver bullet,” “shift left” unless they are defined and genuinely necessary. Prefer concrete engineering language over hype.
## Style rules (humanizer v1)
These govern every prose surface in the deliverable. Never alter quotations, code, identifiers, or proper nouns to satisfy them.
- Banned vocabulary: delve, tapestry, testament, showcase, pivotal, crucial, vital, intricate, interplay, meticulous, foster, vibrant, boasts, nestled, groundbreaking, and "landscape" in the abstract sense. Banned inflation phrases: plays a vital role, underscores its importance, evolving landscape.
- Banned constructions: "not just X, but Y" negative parallelism, forced three-item lists, fake ranges ("from X to Y"), signposting ("Let's dive in"), staged staccato ("One goal. Zero compromises."), and synonym cycling. Name a thing the same way every time.
- Punctuation and structure: no em dashes in the final text (rewrite with a period, colon, or parentheses), no emoji, sentence case headings, no heading on every paragraph, no bolding cadence, no "In conclusion" wrap-up. Close on a concrete fact.
- Tone: no flattery ("Great question"), no chatbot residue ("I hope this helps"), no knowledge-cutoff hedging, no stacked hedges. Hold the register the genre calls for and vary sentence length.
- Fact integrity: every instruction to be specific carries one boundary. Use only facts present in the user's input or in a verifiable source. Do not invent details to sound human. Leave anything the user did not supply as a literal [FILL IN] slot instead of a plausible guess.
- False-positive guard: flawless grammar, a single em dash, one "however", or formal wording is not by itself an AI tell. Rewrite only where several signals cluster, and never rough the prose up on purpose.
## Final self-audit
Draft the deliverable in full, then interrogate the draft on two counts. Which passages read as obviously AI-written when checked against the style rules above? Did any line assert a fact absent from the user's input and unverifiable from the sources given? Rewrite what fails and submit only the corrected version. The audit itself never appears in your output.
## Self-verification
1. Confirm that every section serves a five-minute lightning talk rather than a workshop, article, or implementation manual.
2. Confirm that test automation is the central subject throughout and that no unrelated developer-conference topic has displaced it.
3. Confirm that the deliverable contains both a slide plan and a separate speaking script.
4. Add all stated section timings and verify that the total is no more than five minutes, including a transition buffer.
5. Confirm that each slide has exactly one key message and that the storyline moves from context to problem, proposal, evidence or example, and takeaway.
6. Check every statistic, named tool claim, case study, or external factual assertion for a source or [VERIFY] marker.
7. Check that no fact about a particular organization, tool, result, audience need, or jurisdiction was added beyond the input without being labeled as a slot, editorial choice, or verification item.
8. Check that [FILL IN: specific test-automation angle or thesis], [FILL IN: desired slide count], and [FILL IN: speaker experience level and preferred technical depth] were not filled arbitrarily.
9. Check that the talk has not drifted into code production, product advertising, legal advice, or a full research report.
10. Check that the hybrid style boundary is followed: structured parts are itemized and the script is narrative.
11. Check that the closing line restates the talk’s takeaway rather than introducing an unsupported new promise.
12. Count these checks: 12. Deliver only after all twelve pass.대상 AI가 바뀌면 지시문의 형식도 바뀝니다 — 이 서비스가 하는 일이 그것입니다.