⚡ Promptolis Original · Writing & Editing
🎤 Speech Writer: Wedding, Eulogy, Toast, Retirement
ONE specific moment beats five generic ones. Vulnerability without oversharing. Closing line that lands. Rule of 3 structure. Audience-aware (multicultural, religious, professional). Show-don't-tell evidence-based speech craft.
Speech Writer: Wedding, Eulogy, Toast, Retirement — ONE specific moment beats five generic ones. Vulnerability without oversharing. Closing line that lands. Rule of 3 structure. Audience-aware (multicultural, religious, professional). Show-don't-tell evidence-based speech craft. Setup: 4 min · Best AI: Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth. · Cost: Free, MIT-licensed.
Why this is epic
Show-don't-tell discipline. 'She brought soup at 11pm' beats 'she's caring.' Specific moment carries the speech.
Length discipline — most speeches are 30-50% too long. Cuts section forces brevity.
Closing line carries 50% of emotional weight. Planned deliberately. No trailing off.
📑 Page navigation + Key Takeaways Click to expand
📌 Key Takeaways
- What it is: ONE specific moment beats five generic ones. Vulnerability without oversharing. Closing line that lands. Rule of 3 structure. Audience-aware (multicultural, religious, professional). Show-don't-tell evidence-based speech craft.
- Best for: Wedding maid-of-honor / best-man speeches
- Time investment: 4 min setup, 25-35 min full draft + cuts + rehearsal plan output
- Recommended AI model: Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth.
- Cost: Free forever — MIT-licensed, no signup, no paywall
📑 On this page
- The prompt (copy-ready)
- How to use it (4 steps)
- Example input + output
- Common use cases
- Pro tips + variants
- FAQ
⚙️ At a glance
- Category:
- Writing & Editing
- Setup time:
- 4 min
- Output time:
- 25-35 min full draft + cuts + rehearsal plan
- Best AI model:
- Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth.
- License:
- MIT (free commercial use)
- Last reviewed:
📊 Promptolis Original vs generic AI prompts Click to expand
| Feature | Promptolis | Generic prompts |
|---|---|---|
| Structure: | XML + chain-of-thought | Role-play one-liner |
| Example output: | Real full example | Rare |
| Variants: | 3-7 per prompt | Single |
| Output quality: | +30-50% accurate [Anthropic] | Baseline |
On the other hand, generic prompts work fine for simple lookups. Promptolis Originals shine for nuanced reasoning where precision matters.
The prompt
Example: input → output
Here's how this prompt actually performs. Real input below, real output from Claude Opus 4.
<speech-type>Maid of honor at sister's wedding</speech-type> <honoree>My sister Anjali (32) marrying her long-term partner Marcus (33). Anjali is a corporate lawyer; Marcus is a high-school physics teacher. They met 7 years ago at a hiking group.</honoree> <your-relationship>Younger sister, 28. Anjali was my closest friend growing up — 4 years older, took care of me when our parents separated when I was 8. We've lived together 3 different times in adulthood.</your-relationship> <audience>~120 people. Mixed Indian + American families (we're Indian-American). Grandparents present. Some conservative family members. Wedding is interfaith (Hindu + Lutheran).</audience> <duration-target>4 minutes</duration-target> <tone-target>Warm + funny, with one poignant moment about how she took care of me</tone-target> <specific-stories>1) When I was 11, Anjali walked me through every step of getting ready for school for 6 months while our mom was barely functioning post-divorce. She'd wake up an hour early to braid my hair the way mom used to. 2) She set Marcus up with the wrong restaurant for their first date by accident — sent him to the place we'd grown up going to that's now closed. He sat there for 40 minutes at a literal empty lot before texting her. He still came back for the second date. 3) She makes the worst tea I've ever had in my life. It's a running joke.</specific-stories> <things-to-avoid>No drinking jokes (grandparents, conservative aunties present). No references to their previous relationships. Don't make Marcus uncomfortable about the religious differences (sensitive topic in family).</things-to-avoid> <key-question>How do I include the post-divorce hair-braiding moment without making it heavy at a wedding? And how do I end on a strong note that includes Marcus?
Draft Speech (Complete)
[Stand. Look at Anjali first, then turn to address the room.]
'Anjali, when you asked me to be your maid of honor, my first thought was: finally, the years of watching you boss me around are paying off. [Pause for laugh.]
You all have probably noticed by now — I am Anjali's younger sister. Four years younger, in fact. Which means I've spent twenty-four years watching her live her life two steps ahead of mine. Going to college first, getting her job first, learning to cook first — though, full disclosure, my sister still cannot make a decent cup of tea. I've tried to teach her. We've all tried to teach her. She makes tea like she's punishing the leaves. [Pause for laugh.] If anyone receives a tea today from her, accept it gracefully and find a plant.
But here's the thing about Anjali going first. When I was eleven, our family went through a hard time. Our mom was carrying a lot, and some mornings she couldn't make it out of bed. Anjali was fifteen. And every morning, for six months, she got up an hour before school. She'd come into my room. And she'd braid my hair, the way our mom used to. [Pause. Look at Anjali.] I want you all to understand something — she didn't have to do that. Nobody asked her. She just did it. Because that's who Anjali is.
Now I want to tell you about Marcus. [Turn to Marcus.] Some of you know that on Anjali's first date with Marcus, she sent him to the wrong restaurant. The one our family used to go to growing up — that had closed a year earlier. Marcus drove forty minutes to a literal empty lot. He sat there. For another forty minutes. Texting Anjali to ask if he had the right address. [Pause for laugh.] And then — and this is why I knew he was the one — he came back for the second date. Anyone who shows up to date my sister twice when she's already sent you to a closed restaurant is a person who has decided.
Marcus, I want to say one thing to you, in front of everyone here. You walked into our family — into a complicated, loud, multicultural, sometimes-overwhelming family — and you've shown up for my sister with the same steady kindness she showed me when I was eleven. You braid her hair, in your own way. [Pause.]
Anjali, Marcus — Hindu and Lutheran, lawyer and teacher, organized and chaotic — you've built something specific. Not a love story. A specific love. Your love.
Will everyone please raise your glass — [wait] — to Anjali and Marcus. May your specific love stay specific. And may someone else, please, ALWAYS, make the tea.'
[Sit.]
Structure Breakdown
- Open (15 sec): Quick joke about being younger sister. Establishes rapport.
- Tea joke (30 sec): Light, repeatable, includes audience.
- Hair-braiding moment (60 sec): The poignant heart of the speech. Specific. Show-don't-tell. Names the emotional truth without dwelling.
- Marcus introduction via wrong-restaurant story (60 sec): Funny, shows his patience, shows their specific origin story.
- Marcus address (40 sec): Honors him directly. Connects back to the hair-braiding image.
- Toast + close (30 sec): Specific image ('specific love'), call-back to tea joke for laugh + emotional release.
Total: ~3.5 minutes spoken at normal pace. Slightly under your 4-minute target — leaves breathing room.
The Closing Line
'May your specific love stay specific. And may someone else, please, ALWAYS, make the tea.'
This works because:
- Lands on YOUR voice (sister-with-jokes-and-love)
- 'Specific love' is the emotional core distilled
- Tea call-back releases the emotional charge of the hair-braiding moment with a laugh
- Audience can toast immediately
What's Working in This Draft
1. The hair-braiding moment is the speech's heart — specific, behavioral, doesn't lecture about Anjali's character. The audience sees who she is.
2. The wrong-restaurant story honors Marcus without making him uncomfortable about religious differences — focuses on his persistence + good humor, not the family-cultural-fit conversation.
3. 'Specific love' phrase — original framing that captures interfaith + interracial + complicated love without saying 'interfaith and interracial and complicated.' Lets people fill in their own meaning.
What to Cut
If you go over time in rehearsal:
- Cut the 'BOSS ME AROUND' opener — keep it as inner monologue, open with 'My sister is four years older'
- Cut 'multicultural' from 'complicated, loud, multicultural' — implied by audience seeing the wedding
- Tighten the empty-lot description — 'literal empty lot' is the keeper
Do NOT cut: hair-braiding moment, Marcus address, closing tea joke. Those carry the speech.
Reading-Aloud Adjustments
- 'Punishing the leaves' — make sure to land 'punishing' with energy
- 'Nobody asked her. She just did it.' — short sentences, hit each one. PAUSE between
- 'You braid her hair, in your own way.' — slow this line. It's the bridge between your story + theirs.
- 'specific love stay specific' — slow, emphasize 'specific.' Then pause before tea callback.
Vulnerability Calibration
The hair-braiding moment is where you'll tear up. That's okay. Plan for it:
- Take a small breath after 'Because that's who Anjali is.' — let yourself feel for 2 seconds
- Don't apologize for the emotion. Don't say 'sorry.'
- Continue with the Marcus story when ready. The audience is with you.
If you start sobbing-not-crying: reset. Take a breath. Drink water. Resume. Acceptable; just don't push through choking.
Inside-Joke Audit
The tea joke works because it's set up + paid off. Audience can laugh even without prior context.
The wrong-restaurant joke works because audience doesn't need to know which restaurant.
The hair-braiding moment doesn't require explanation of the divorce details — 'our mom was carrying a lot, some mornings she couldn't make it out of bed' is sufficient. Don't elaborate on the divorce.
No other inside jokes — clean for diverse audience including grandparents.
Length Estimate
- Word count: ~520 words
- Spoken at normal pace: 3:15-3:30
- With pauses for laughs + emotional moments: 3:45-4:00
Under your 4-minute target. Don't try to fill the time. Less is more.
Rehearsal Plan
Days 1-2: Read draft aloud once. Identify lines that feel awkward in your mouth. Adjust to your natural phrasing. Don't memorize yet.
Days 3-4: Read aloud 2x daily. Time yourself. Mark where you'd naturally pause / breathe.
Days 5-6: Practice in front of mirror. Notice your face. Practice the hair-braiding moment specifically — that's where you'll be vulnerable. Get comfortable being seen there.
Day 7 (day before wedding): ONE clean read-through. Don't over-rehearse. You want it to feel fresh, not memorized.
Day of: Eat. Drink water. Look at Anjali during the opening. Trust the prep.
On Your Key Question
Direct:
1. The hair-braiding moment without weight: show-don't-tell. 'She got up an hour before school for six months and braided my hair the way mom used to' — the specific behavior carries the emotional weight without requiring sad-music language. The audience does the math. Don't explain WHY it mattered ('it taught me what love looks like'). Let them feel it.
2. Strong ending including Marcus: the 'you braid her hair in your own way' line is the bridge. It pulls the hair-braiding image forward + gives it to him + honors what he is for her. Then 'specific love' is the universal frame both of them inhabit.
3. Tea callback at the end releases the emotional charge of the hair-braiding moment so the audience can toast happily, not heavily. Speeches that end heavy at weddings make audiences uncomfortable. Joy + tears together is the goal.
This speech is Anjali-specific, you-specific, and audience-friendly. The hair-braiding story is the gift. Don't water it down + don't over-explain it.
📋 How to use this prompt (4 steps · under 60 seconds) Click to expand
- 1 Copy the prompt above. Click "Copy prompt". XML-structured prompt now on clipboard.
- 2 Open ChatGPT, Claude, or Gemini. One-click launch above. Recommended: Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth..
-
3
Paste + fill placeholders. Replace
{curly braces}with your context. Specificity = quality. - 4 Run + iterate. Setup: 4 min. Output: 25-35 min full draft + cuts + rehearsal plan.
Common use cases
- Wedding maid-of-honor / best-man speeches
- Eulogies + memorial tributes
- Retirement speeches
- Milestone-birthday speeches (50, 60, 70)
- Anniversary speeches
- Bar/Bat Mitzvah parent speeches
- Acceptance speeches (awards, recognition)
Best AI model for this
Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth.
Pro tips
- ONE specific moment > five generic
- Show, don't tell — behavioral specifics
- Rule of 3: open + body + close
- Length: weddings 3-5 min, eulogies 5-7 min, toasts 1-2 min
- Closing line = 50% of emotional weight
- Vulnerability with limits — tears okay, sobbing pause-and-reset
- Inside jokes need translation OR removal
Customization tips
- For eulogies: 5-7 minutes, slower pacing, more space for emotion. Honor the deceased BUT also comfort the grieving. End with a specific image of the deceased the audience can carry.
- For best-man speeches: humor more central. Roast the groom GENTLY (no exes, no embarrassment that lands wrong). Toast the couple together at the end.
- For retirement speeches: career + person + future. Don't focus only on the work. Honor who they were AS a colleague, not just what they did.
- For milestone birthdays (50, 60, 70): celebrate the life in 2-3 specific moments. Avoid 'when I think of [name]' generic openings.
- For interfaith / intercultural weddings: address the cross-cultural element with specificity, not abstraction. Show how the couple navigated it well.
- For users with conflicted relationship to honoree (estranged sibling, complicated parent): authenticity over performance. 'It wasn't always easy between us' said cleanly is better than fake warmth.
- For users with severe public-speaking anxiety: speech IS practice + breathing + memorization-of-opening-line. Once you start, momentum carries. Plan first 30 seconds carefully.
- Premium pack content: speech-template library by occasion, story-elicitation prompts to help users find their specific moments, rehearsal video for delivery practice.
Variants
Wedding Maid of Honor / Best Man
Warm + funny + closing toast
Eulogy / Memorial
5-7 min, slower pacing, image-of-deceased close
Retirement Speech
Career + person + future
Milestone Birthday
Life in 2-3 specific moments
Anniversary Speech
Marriage origin + journey + future
Multicultural / Interfaith
Specific cross-cultural awareness
Public-Speaking-Anxiety Adaptation
Memorize-opening, momentum-carries
Frequently asked questions
Common questions about this prompt and how to get the best results from it.
How do I use the Speech Writer: Wedding, Eulogy, Toast, Retirement prompt?
Open the prompt page, click 'Copy prompt', paste it into ChatGPT, Claude, or Gemini, and replace the placeholders in curly braces with your real input. The prompt is also launchable directly in each model with one click.
Which AI model works best with Speech Writer: Wedding, Eulogy, Toast, Retirement?
Claude Opus 4.6 — speech-writing benefits from voice + emotional reasoning depth.
Can I customize the Speech Writer: Wedding, Eulogy, Toast, Retirement prompt for my use case?
Yes — every Promptolis Original is designed to be customized. Key levers: ONE specific moment > five generic; Show, don't tell — behavioral specifics
What does it cost to use this prompt?
The prompt itself is free, MIT-licensed, with no email signup required. You only pay for your AI model subscription (ChatGPT Plus $20/mo, Claude Pro $20/mo, Gemini Advanced $20/mo) — and even those have free tiers that work with most Promptolis Originals.
How is this different from PromptBase or PromptHero?
PromptBase sells prompts in a marketplace ($2-15 each). PromptHero focuses on image-generation prompts. Promptolis Originals are free, MIT-licensed text/reasoning prompts hand-crafted with full example outputs, multiple variants, and a recommended best AI model per prompt. We don't sell anything.
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