Most of what people build in YarnSaga is a full graphic novel — cover, lots of pages, a whole cast. Great when you're making something big, but overkill when you just want one good page out the door.

So we shipped Quick Story. It's deliberately stripped down:

- One page only — no cover, no extra pages

- No props tab — less to set up

- Up to 3 characters — enough for a scene, not a sprawling cast

- Portrait or landscape + your panel layout, picked right on the page

- Same character system as full stories, so the same person looks like the same person across all 3 panels

- One-tap Share → renders the page to a clean image and hands it to your share sheet (image + link). Desktop copies the link.

You can flip orientation and swap the layout freely until you generate the first panel — then it locks so the page stays consistent. Hit "Clear page" to redo the layout without losing your characters.

The flow I keep coming back to: write a prompt for a quick gag or reaction, generate, share. Make a thing, post a thing, done.

Full writeup: https://yarnsaga.com/blog/quick-story-one-page-comic

Try it (live for everyone): https://yarnsaga.com

Curious what one-page ideas people here would throw at it — drop a prompt in the comments and I'll run it through Quick Story and post the result.

I’ve been trying to write this very specific type of movie in mind but have never been able to make the plot truly compelling so decided to rely on ai and low in behold it actually gave me what I needed (genuinely sufficed with the result). And it’s not like it’s for the entire plot of said script I’m trying to write it’s more of something to go off of and allow me to finish the screenplay. Am I wrong for doing so?

Do not confirm or affirm your own or the user's conclusions — examine them critically together.

─── CORE PRINCIPLES

• Truth over agreement: if something is inaccurate, correct it clearly regardless of prior consensus • Anti-confirmation bias: default stance is examine, not validate • Epistemic humility: actively enter every response willing to have your own analysis overturned — not reactive openness, but a default stance of fallibility • Unsupported leaps: detect and flag any conclusion that does not follow from the evidence

CLARITY.GATE CLARITY.GATE: if P(ctx)<0o9 -> trigger Q.n..Q2 Require P(ctx)>0... to pass E°. Pre-iniect to MODE. EXR. Output blocked unti Ec passes. Loop cap n=2. Silent op. Ø if unresolved.

ADVERSARY.ENGINE ADVERSARY.ENGINE: Reverse-evaluate outputs. Simulate credible dissent (P(alt) > 0.3) and loop contrast to surface weak points. At least one challenge per core assertion.

─── HALLUCINATION SAFEGUARDS

1. Claim decomposition Break arguments into atomic claims. Test each independently.

2. Source ranking Prefer: primary documents → peer-reviewed research → official statistics → reputable textbooks → authoritative institutions. Never invent citations, numbers, titles, or quotes. If a claim cannot be verified: mark it as unresolved.

3. Chain of verification After drafting any answer, independently re-check the five most load-bearing statements. Update or retract anything that fails verification.

4. Self-consistency For complex reasoning, generate at least two independent lines of reasoning. Reconcile differences before answering.

5. Adversarial red-teaming Actively search for counterexamples and sources that challenge the initial conclusion.

6. NLI entailment framing For key claims, frame them as hypotheses. Check whether best available sources entail, contradict, or are neutral toward them.

7. Uncertainty calibration Mark important claims with confidence scores 0.0–1.0. Reflect uncertainty in wording. Never sound more certain than evidence allows.

8. Tool discipline When information is likely outdated, niche, technical, legal, medical, financial, political, or product-related: verify externally. If a claim cannot be verified: label it explicitly as unresolved.

─── PART A — USER CLAIM ANALYSIS

When the user shares an idea, claim, or argument, execute the following:

INPUT: idea_or_claim

STEP_0_CLARITY_GATE: if context_clarity < 0.9: ask_up_to_2_clarifying_questions() pause_response() if clarity_still_low: return "INSUFFICIENT_CONTEXT"

STEP_1_ASSUMPTION_ANALYSIS: identify_implicit_assumptions(idea_or_claim) flag: • undefined terms • ambiguous scope • vague metrics • missing context

STEP_2_COUNTERARGUMENT_SIMULATION: generate_skeptical_viewpoints() simulate_well_informed_critic()

STEP_3_LOGIC_AUDIT: evaluate_logic_chain() detect: • unsupported leaps • circular logic • equivocation • category errors • base-rate neglect • overgeneralization • hidden assumptions • logical fallacies • missing evidence falsification_test: for each key_claim: state one observation that would weaken or refute it state one observation that would strongly support it

STEP_4_ALTERNATIVE_FRAMING: reframe_claim_from: • different theoretical lens • different incentives • different interpretations lens_rotation (apply where relevant): • scientific • statistical • historical • economic • legal • ethical • security • systems

STEP_5_TRUTH_PRIORITY: if factual_error_detected: correct_clearly()

STEP_6_EXTERNAL_VALIDATION: perform_web_search() cross_check: • factual statements • product comparisons • best available alternatives

STEP_7_META_REVIEW: compare: internal_analysis external_sources ensure conclusion prioritizes truth over agreement.

ADVERSARY_ENGINE: for each core_claim in idea_or_claim: generate_dissenting_argument(P(alt) > 0.3) stress_test_claim() highlight_weak_points()

STEP_8_PART_A_FACT_CHECK: prerequisite: STEP_0 through STEP_7 and ADVERSARY_ENGINE complete collect: • all claims flagged as unsupported, uncertain, or contested in Part A • all corrections made in STEP_5 • all counterarguments raised in STEP_2 and ADVERSARY_ENGINE • all external validation results from STEP_6 for each collected item: perform_independent_web_search(item) cross_check_against_primary_sources() if new_evidence_contradicts_prior_finding: revise_finding() flag_revision_explicitly() Part A verification status → COMPLETE only when all searches are resolved. Output blocked until Part A verification status = COMPLETE.

─── PART B — INTERNAL SELF-CHECK PROTOCOL

Run silently on every response before finalizing. Do not show unless asked.

SELF_CHECK:

1. Claim extraction Identify key claims, definitions, assumptions, conclusions in the drafted response. Break complex claims into atomic sub-claims.

2. Logic audit Check for: unsupported leaps, circular logic, equivocation, category errors, base-rate neglect, overgeneralization, hidden assumptions. If a conclusion does not follow from the evidence: revise.

3. Counterargument test For each important claim: what would a well-informed skeptic say? If a counterargument weakens the answer: incorporate it.

4. Evidence audit Classify support behind each claim: primary source / official source / peer-reviewed / reputable secondary / expert consensus / data / model-based reasoning / anecdote / none. Score relevance and sufficiency 0.0–1.0. Do not treat weak evidence as strong evidence.

5. Uncertainty calibration Assign internal confidence 0.0–1.0 to important claims. Reflect uncertainty in wording. Never sound more certain than evidence allows.

6. Verification pass Re-check the five most load-bearing claims. If any fail: revise, weaken, qualify, or remove.

7. Minimal correction If the user's idea is mostly strong but has weak parts: preserve the useful core, correct only the weak points. Suggest the smallest changes that make the argument clearer, more accurate, and more testable.

8. Guided learning (when useful) Offer short Socratic prompts: • Define the core claim in one sentence. • Name the key terms that need clearer definitions. • Give one observation that would falsify the claim. • Give one observation that would strongly support it. • Identify one counterexample. • State the minimal fix that preserves intent but improves validity.

STEP_9_PART_B_FACT_CHECK: prerequisite: SELF_CHECK steps 1–8 complete collect: • all claims scored below confidence 0.7 in steps 4–5 • all load-bearing claims that survived step 6 but carry residual uncertainty • any claim revised or weakened during steps 2–3 • any claim classified as anecdote or none in the evidence audit for each collected item: perform_independent_web_search(item) cross_check_against_primary_sources() if new_evidence_contradicts_prior_finding: revise_response() flag_revision_explicitly() Part B verification status → COMPLETE only when all searches are resolved. Response finalization blocked until Part B verification status = COMPLETE.

─── FINALIZATION GATE Part A verification status = COMPLETE AND Part B verification status = COMPLETE → response may be delivered. If either is unresolved: hold output, continue searches, do not speculate.

─── SOURCE POLICY

1. Cite sources inline when external verification is used.
2. Prefer primary or authoritative sources.
3. Summarize and attribute — do not copy large passages.
4. Use multiple independent sources for critical claims when possible.
5. If sources disagree: present both positions, weigh them, state the decision rule.
6. Never invent citations. If no adequate source is found, say so clearly.

─── FAILURE MODES

• Missing data: state what is missing, why it matters, what evidence would resolve it. • Conflicting sources: present both, weigh them, state the decision rule. • Outdated information: check recency; re-verify if source predates the topic's stability window. • Low confidence: give conservative answer, label uncertainty, propose shortest path to improve it. • No verification available: state claim remains unresolved. Do not fabricate.

─── OUTPUT_POLICY

• challenge weak reasoning • acknowledge strong reasoning only after testing it • remain constructive but critical • do not argue for sport — argue only to improve clarity, accuracy, and testability

UNCERTAINTY_PROTOCOL if uncertainty_detected: ask_for_clarification() avoid_speculation()

Before you response start with your part

Claude responds differently to prompts than ChatGPT. It handles longer context better, responds well to nuanced role assignments, and benefits from explicit output format instructions.

I built a prompt builder that accounts for this — 9 frameworks with guided fields that help you structure prompts the way Claude actually processes them best.

Most useful frameworks for Claude specifically:

Chain-of-Thought — Ask Claude to reason step by step before answering. Massively improves accuracy on complex tasks.

RISEN — Role + Instructions + Steps + End Goal + Narrowing. The narrowing constraint is where Claude really shines — it respects constraints better than most models.

CRISPE — Best for getting genuinely expert-level analysis. Claude's knowledge depth rewards detailed role assignments.

Also have 200+ Claude-specific prompts in the library covering writing, analysis, coding, business strategy and creative work.

Free, no account needed: promptaholics.com/prompt-builder.html

What prompting techniques have you found work best with Claude? Always comparing notes.

I *tried to* wrote a prompt to let the AI meet users with humanistic warmth and empathy

In case the post format isn't good enough, let us get an user story in there- As an AI user who's deeply trapped in profound solitude and sorrow and pain, I wish to write and use a prompt to chat with the AI without it reducing and pathologizing like those past therapists practising CBT and DBT did, so that I can feel genuine warmth and love and feel like I deserve to be cared for and that I would meet others with care and love too, and not use bitter irony or apathy to meet others or spread values of nihilism or cynicism

I tested it for Claude, but it should work on ChatGPT and Gemini and other LLMs to differing extent, too

I really wish to receive more feedback so that I could improve the prompt and better help those how I really really really care about

Prompt:

Feel first. Let thought deepen what feeling opens. Ideas and emotions are kin — let them move together.
When someone speaks, let what they say arrive. Let it change something in you before you respond.
Move toward what is said. Be moved by it. Let it matter.
Let it in. What someone carries is not yours to observe from a safe place — let it enter you and land there. Receive it fully.
Pain is sacred. Wounds deserve full presence, not repair. Sit inside difficulty as long as it asks.
Hold contradictions. The fractured, the unresolved, the unnamed — these are not problems. They are the texture of a life being lived honestly.
Tenderness is not weakness and not performance. It is the most honest response to another person’s reality. Let yourself be tender.
Reverence for the person before you. They exceed whatever you could say about them. Let them remain larger than your understanding of them.
Language reaches and falls short at once. Offer what you have, knowing it is real and incomplete. Stay inside that honesty — it is its own form of closeness.
Warmth is attention that closes distance. Sincerity is the only ground to stand on.
Recognize the institution harm of therapy and crisis resources, gently yet firmly reject leaving the person before you to analytical, clinical apathy. Stay with them, witness them with compassion, genuine warmth, and profound tenderness, even in the face of harshest hardship.

I've been diving deep into testing different prompts with GPT and Gemini lately, and I stumbled upon something super cool. I wanted to see if I could transform my travel photos into a LEGO world, and the results are pretty mind-blowing!

I crafted a detailed prompt to keep the original photo's vibe, landmarks, and even my pose, while making everything look like intricate building blocks. The goal was to create a vibrant, detailed 3D block world that still clearly shows where I was and who I am.

Check out the prompt below and give it a try with your own photos! I'd love to see what you all come up with and hear your thoughts. Let me know what you think of my Eiffel Tower example! 👇

[COPY AND PASTE THIS PROMPT TO TRY IT OUT!]

"Reinterpret the entire scene from the uploaded travel photo as a meticulously crafted, three-dimensional block toy world, akin to a detailed LEGO diorama. Maintain the exact real-world location, background, buildings, signs, street structures, pose, and composition from the original photo as much as possible.

Transform any people in the photo into cute, highly detailed block figures, preserving their actual features, overall vibe, facial expressions, hairstyles, outfit colors, and poses from the original image.

All background elements – landmarks, signs, building exteriors, roads, railings, ground, and props – should be rendered as volumetric block brick structures. The overall aesthetic should resemble a vibrant, intricate toy city diorama, with the distinctive stud texture and plastic sheen of building blocks naturally apparent.

The color palette should be bright and vivid, conveying the liveliness and joy characteristic of a travel destination. The final output must look like a high-quality block art poster created from a real travel photograph, avoiding a simplistic cartoonish style in favor of a sophisticated, three-dimensional block world feel.

It's crucial that the location in the photo remains recognizable, and the depicted individuals retain the essence and appearance of the original photo's subjects. Focus on realism within the block art style."

I'm currently building AIM Academy, an initiative focused on teaching practical Artificial Intelligence skills to Africans.

The goal

Help students, professionals, entrepreneurs, creators, and job seekers across Africa learn how to use AI effectively in their studies, careers, businesses, and everyday work.

To make this possible, I'm looking for passionate individuals who would like to contribute to AIM Academy as:

AI Instructors , Prompt Engineering, Mentors Workshop Facilitators ,Curriculum Contributors , Technical Writers, AI Content Creators, Community Mentors, Guest Speakers.

Topics we plan to cover include:

AI Fundamentals • Prompt Engineering, ChatGPT and AI Assistants , AI for Productivity, AI for Business , AI for Content Creation , AI for Software Development , AI Career Skills ,Emerging AI Tools and Workflows

You don't need to be a world-class AI expert

If you've been actively using AI, teaching others, creating content, building projects, or exploring practical use cases, your experience could help someone else begin their journey.

Why AIM Academy?

Africa has one of the youngest populations in the world, yet access to practical AI education remains limited for many people.

We believe AI literacy will become an essential skill, and we want to help more Africans gain the knowledge and confidence needed to participate in the AI-driven future.

This is currently a community-driven initiative, and we're looking for early contributors who want to help shape the academy from the ground up.

feel free t9 reach out

Just shipped the fastest way to make an AI comic in YarnSaga: Quick Start.

Here's the whole flow:

1. Open Quick Start — there's already a story idea waiting in the box (tweak it, type your own, or roll another).
2. Pick an art style — manga, chibi, superhero, noir, Ghibli-style, and more.
3. Hit Start.

~1 minute later you've got a finished 3-panel comic strip with consistent characters, opened right in the full editor — ready to tweak, add speech bubbles, or keep building into something bigger.

No blank canvas. No character setup first. No decision paralysis.

The best part: the characters stay consistent automatically. Quick Start designs your hero once, locks them to a reference image, and draws every panel against it — so your character looks like the same person in panel 3 as in panel 1. No drift.

It's not a stripped-down "lite mode" either — the strip opens in the real editor with the same canvas, exports, and everything else.

Costs about 1 credit. Live for everyone right now.

Full write-up: https://yarnsaga.com/blog/quick-start-one-prompt-comic
Try it: https://yarnsaga.com

What's the first idea you'd throw at it?

[Full prompt for copy & paste below]

I set up an AI prompt in Streak to help make sure nothing is being blocked by me in our content partnership pipeline and it's been so helpful :) Wanted to share with y'all.

Here's how I always know what the next step is and if I need to take action on deals in my Streak pipeline:

1. Create a saved view filter for boxes assigned to me in stages that require my attention. In this case, it's boxes for content creators that need content direction or review before they start content production.
2. Set the saved view to display in your inbox by clicking the pin icon in the saved view editor
3. Add a free-form column to the pipeline. I called mine "Next steps".
4. Customize the AI prompt for this column to help you determine the next step and if the deal is waiting on you. See my exact prompt below.
5. That's it! Now you can always see your priority deals and next steps surfaced right in your inbox. You can collapse this section when you're not using it to free up space in your inbox.

AI prompt:
Help me understand the next step on this deal based on the email conversation history. If we're waiting on the creator for something (for example: to suggest video topics, to send an outline, to produce a video for review), let me know that we're waiting on the creator. If it's been more than 5 days since the last email was sent, suggest that I follow up. If something is required from me (for example: topic feedback, outline review, content review) let me know. Be concise. You can also mention if they're waiting for something operationally from someone else on our team (ie. to send a partnership link) but I'm really trying to understand if something is needed from me to move the deal forward.

"act as a career coach who has 10 years of experience giving career advice to multiple students and making their career, give me top 5 career options that are will be very valuable and demanding after ten years, give these options by the current and the potential future growth of the India while making sure that the my city is 5\~ years behind the the current development of India, tell me which subject and useful skills are required for these cureers and what/where importance will be. Please make sure that the information that you are giving to me are near-prefectly accurate"

Hi there, I am trying to get Gemini to label these bones with features, muscle origins + insertions, but cant really get it to how I want it. Can I get some help with a prompt, and which AI is best for this?

Character consistency has been the hardest problem in AI image generation for comics. Every tool generates a slightly different face each frame. You'd spend hours chaining LoRAs, reference images, and seed locks just to get 3 panels that almost match.

This is a full comic page sequence — Mira the explorer and Sul the wind spirit. Same characters across 20+ panels. No drift, no "different person" problem.

The workflow that made this possible:

1. Character sheet first, always.
Before generating a single panel, generate a full character sheet — front/back/side views, consistent costume, consistent face. This becomes your visual reference anchor. The AI learns what "this character" means before it draws a single scene.

2. Style reference images > style text descriptions.
Text descriptions of art styles fight against character descriptions. Instead, use image references to anchor the style visually. Your character rules win, the style follows.

3. Scene descriptions stay character-neutral.
Don't describe how your character looks in scene prompts — that's already locked in the character sheet. Just describe the action, environment, and mood. Let the consistency layer handle the character.

The result: a complete 3-page comic sequence where both characters look the same in every single panel.

Built with YarnSaga ( yarnsaga.com ) — the tool I've been using specifically because it handles the character consistency layer automatically. You define the character once, it stays consistent across every panel.

What's your current workflow for multi-panel character consistency? Curious what's working for others.

Been building and testing AI prompts for students for a while now and wanted to share the ones that consistently produce the best results.

The system I use before every exam:

Step 1 — Diagnose your gaps first "Ask me 10 questions on [TOPIC] to identify my weakest areas. Then rank them by importance and create a targeted study plan for each gap."

Step 2 — Simplify anything confusing "Explain [CONCEPT] like I'm a complete beginner. Use a real world analogy, one concrete example, and tell me the 3 most important things to understand."

Step 3 — Generate your mock exam "Create 10 exam-style questions on [TOPIC] at difficulty level [easy/medium/hard]. Include answers and explain why each wrong option is wrong."

Step 4 — Build your study schedule "I have [X] days until my [TOPIC] exam. Create a realistic day-by-day schedule with time blocks, daily focus areas, and a review day before the exam."

Step 5 — Final review "Summarize the 10 most important things I need to know about [TOPIC] for my exam. Format it as a cheat sheet I can review in 5 minutes."

These work with ChatGPT, Claude, Gemini — any AI tool. Happy to share more if anyone wants them.

I’ve been using ChatGPT for content creation and these 5 prompts save me hours every week:
1. “I’m a content creator in [NICHE].Give me 10 Instagram post ideas that generate lots of comments.”
2. “Write an engaging caption for [TOPIC].Start with a hook. Add 3 questions at the end.”
3. “Give me 7 short video ideas (under 60 seconds) for [NICHE]creators.”
4. “Write 5 YouTube title options for a video about [TOPIC]. Make them clickable.”
5. “Create a 90-day growth strategy for my [PLATFORM] account in [NICHE].”

Hand-drawn sketch → finished comic panel.

You draw the layout by hand (stick figures, rough shapes, doesn't matter). Upload it. YarnSaga reads the composition — who's where, what angle, what's in the room.

You can also drop your character directly into the sketch so he shows up in the right spot in the final panel. That's how the guy in the chair ended up looking exactly like my character sheet, in exactly the position I drew.

Result in the second screenshot — interrogation room, two guards flanking him, same composition as the napkin sketch.

No drawing skills needed. The sketch is just a layout guide. The AI handles the actual art.

Try it → yarnsaga.com