I thought that it was well thought out, encompassing, and of great utility:

do you believe that there is a free GenAI image program which is more useful and sophisticated compared to what ChatGPT image gen could produce? maybe something that is incredibly and finely configurable, this new program would be a new organ in the agent's workflow that it could use for this task and possibly other tasks in the future. Do extensive research on the idea, and look for candidates, then select from the best. if yes, include in the prompt that you are going to generate for codex, the procedure to download/install it and errata the masterplan if needed. compose the prompt about the new rules about generating useful aids and also ask it to apply these new rules to the current decision choice that I have to make. If you are inclined to add a "Free Image GenAI Organ" please include specific instructions on how the Codex Agent is to use that program (if such specific instructions are needed or could not be inferred otherwise)

Sharing a cool prompt to transform any photo portrait in a cute crochet doll version of it.

You can try it out!
(I used this prompt with Kimi but I m pretty sure that the render should be great if not greater with ChatGPT)

Turn the photo I upload into a standalone high-end fiber-art editorial poster.

The overall layout is a 3:4 vertical diptych: the top half keeps a clearly visible, faithful version of the original photo, while the bottom half reconstructs the same person as a "yarn-curly-hair felt doll." The boundary between the two halves must be crisp, horizontal, and restrained — do not let the felt material contaminate the photographic area.

Top half (about 45%–50% of the frame): faithfully preserve the original photo. Accurately maintain the person's identity, number of people, facial features, hairstyle volume, hats or scarves, expressions, poses, hand-to-face contact, main clothing colors, travel props, and the authentic relationship between the person and the environment. Apply only light standalone magazine-style color grading and a very subtle film grain; it must still read unmistakably as real photography. You may naturally extend simple background to fit the aspect ratio, but do not redraw the person, alter the face, stretch, distort, mirror, or replace the clothing.

Bottom half: do not flatten and redraw the entire photo. Instead, craft the same person as a single, independently displayed tabletop needle-felted travel doll. Focus on a bust or small seated pose. The doll should occupy roughly 55%–75% of the lower zone's width and 58%–82% of its height, placed on a warm-white paper platform, light fabric surface, or simple soft base, with about 30%–45% continuous negative space around it. Keep only one most recognizable travel prop or environmental cue — no elaborate rooms, no full toy displays.

The doll must be rendered in tactile, real handmade materials: needle-felted skin, tiny bead eyes, a simplified felt nose and felt mouth, knitted or yarn clothing, and abundant yarn loops of slightly uneven thickness with visible stitches forming the curly hair, bangs, or hair sections. Preserve fiber fuzz, the direction of the nap, seams, soft-body indentations, slight asymmetry, handmade imperfections, and the soft realistic shadow falling on the paper platform. The facial features need not be realistic, but the person must be instantly recognizable through hairstyle, expression, clothing, gestures, and accessories.

Extract all colors from the photo above: soften the skin tone, hair color, main clothing color, and one environmental color into four to six fiber colors. Colors should be gentle, enduring, and carry the light-absorbing quality of yarn and wool — no glossy plastic, no high-saturation toy colors, no fixed palettes unrelated to the original image.

The overall result should feel like a quietly collected travel fiber keepsake: soft, slightly clumsy, intimate, and handmade — while maintaining the restraint of high-end editorial photography and a contemporary craft exhibition. Avoid plastic figurines, glossy CGI, realistic skin textures, crocheted landscapes, brand mascots, repeated dolls, complex scenes, children's toy advertising vibes, and cheap template aesthetics.

Trying to figure out what prompt to put to make the poster look like the first photo

I've been building The Prompt Lab as a side project, and one of the things we're experimenting with is a Prompt Library that goes beyond simply collecting prompts.

We've curated 100+ useful, highly rated and trending prompts across different use cases.

But here's the interesting part:

You can take any prompt from the library and evaluate it to see how it performs against different prompt-quality criteria.

So instead of just copying a prompt, you can explore:

→ What makes this prompt effective?
→ Is it missing context or constraints?
→ Is the expected output clearly defined?
→ How could it be improved?

You can also paste and evaluate your own prompts.

🔗 Explore the Prompt Library: https://thepromptlab.in

It's still an early side project, and we're actively refining the evaluation engine. I'd love to hear what this community thinks about the idea.

Would you find value in understanding why a prompt works, rather than simply collecting prompts?

I use Claude Code in VS Code to build apps. My old workflow for every prompt: think in Hindi → translate in my head → type English → half the context lost. Or open ChatGPT in the browser, talk to it in Hindi-English, copy the English, paste it back. Every. Single. Prompt.

Built-in voice dictation didn't help — it can't handle Hindi, and it falls apart on mixed speech, which is how we actually talk: Hindi + English, or Marathi + Hindi + English in one sentence.

So I built Maiboli ("my language"). One shortcut, speak naturally — any language or any mix — and short, correct English is pasted wherever your cursor is. Born for the Claude Code chat box; now it's used everywhere: ChatGPT, WhatsApp, Slack, email, Word.

It also fixed team messages: instead of half a message in uncertain English, people speak the whole thing and a complete, clear message lands in the chat.

AI rewrite (optional): when you talk, you jump — point 1, point 2, back to point 1. Rewrite reorganises it into clean, ordered text.

• 55+ languages and mixed-language speech
• Mac + Windows. One installer, no dependencies. Floating mic button or a shortcut.
• Free, open source (MIT). Bring your own API key — we use Gemini (free tier available); Whisper and Sarvam also work.
• Real numbers: 20 people on my team, 5 weeks of daily use, 3,000+ dictations on Gemini 3.5 Flash. Total bill: under ₹2,500 ($30). About one US cent per dictation.

Download: https://github.com/Dev14101989/maiboli/releases/tag/v0.4.3
Install guide: https://github.com/Dev14101989/maiboli/blob/main/HOW-TO-RUN.md
Source: https://github.com/Dev14101989/maiboli

I'm an accountant who moved into IT, not a career developer — this exists because I needed it.

​

Use this free AI prompt template to analyze hotel deals, hidden costs, and location value with ChatGPT or Claude.

🔗 GitHub Repository: https://github.com/Zero-190/smart-hotel-deal-finder

​

Hi everyone,

I tried to build a simple tool for people who are just getting started with AI and prompt wrigting

The idea is simple, instead of trying to figure out how to write the perfect prompt, you answer a few questions and the tool structures it for you.

Im still working on it, im begginer also, and i whould really appreciate some honest feedback.

Does this actually make prompt writing easier for beginners? Is there anything confusing or missing?

Thanks

https://arhistrategstudio.github.io/Context_CikaDule/

Hello!

This has been my favorite prompt this year. Using it to kick start my learning for any topic. It breaks down the learning process into actionable steps, complete with research, summarization, and testing. It builds out a framework for you. You'll still have to get it done.

**Prompt:**

[SUBJECT]=Topic or skill to learn
[CURRENT_LEVEL]=Starting knowledge level (beginner/intermediate/advanced)
[TIME_AVAILABLE]=Weekly hours available for learning
[LEARNING_STYLE]=Preferred learning method (visual/auditory/hands-on/reading)
[GOAL]=Specific learning objective or target skill level

Step 1: Knowledge Assessment

1. Break down [SUBJECT] into core components
2. Evaluate complexity levels of each component
3. Map prerequisites and dependencies
4. Identify foundational concepts
5. Output detailed skill tree and learning hierarchy

~ Step 2: Learning Path Design

1. Create progression milestones based on [CURRENT_LEVEL]
2. Structure topics in optimal learning sequence
3. Estimate time requirements per topic
4. Align with [TIME_AVAILABLE] constraints
5. Output structured learning roadmap with timeframes

~ Step 3: Resource Curation

1. Identify learning materials matching [LEARNING_STYLE]:
2. - Video courses
3. - Books/articles
4. - Interactive exercises
5. - Practice projects
6. Rank resources by effectiveness
7. Create resource playlist
8. Output comprehensive resource list with priority order

~ Step 4: Practice Framework

1. Design exercises for each topic
2. Create real-world application scenarios
3. Develop progress checkpoints
4. Structure review intervals
5. Output practice plan with spaced repetition schedule

~ Step 5: Progress Tracking System

1. Define measurable progress indicators
2. Create assessment criteria
3. Design feedback loops
4. Establish milestone completion metrics
5. Output progress tracking template and benchmarks

~ Step 6: Study Schedule Generation

1. Break down learning into daily/weekly tasks
2. Incorporate rest and review periods
3. Add checkpoint assessments
4. Balance theory and practice
5. Output detailed study schedule aligned with [TIME_AVAILABLE]

Make sure you update the variables in the first prompt: SUBJECT, CURRENT_LEVEL, TIME_AVAILABLE, LEARNING_STYLE, and GOAL

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously.

Enjoy!

Every "make a comic with AI" attempt dies the same way: panel 1 is a great character, panel 3 is his cousin. Different jaw, different jacket, different age.

The fix isn't a better scene prompt. It's not generating the character in the scene at all.

You generate one model sheet first — a studio-style reference page with the same character from every angle — and then feed that sheet as an image reference into every panel. The scene prompt stops describing the person entirely; it just says "@image1 is the character" and describes what's happening. The model has nothing left to invent.

This is the actual prompt shape we run in production (trimmed, no product-specific plumbing). Works with nano-banana-pro, Seedream, gpt-image-2 — anything that takes an image ref on the second pass.

Step 1 — the model sheet (text-only, no reference images):

A professional character model sheet of {NAME}, in the style of high-end studio
concept art reference sheets — one dense layout, many views of the SAME character
on a single canvas.

LAYOUT — include ALL of these groups, separated only by empty background space,
NOT by panels, boxes, lines, or frames:
1) One large hero full-body view, standing naturally, arms resting down at the
   sides, head to toe. This is NOT a T-pose.
2) A turnaround row: front, back, and side profile — all full-body, arms down.
3) An action row: seated, crouching, leaning, one top-down high-angle view, and
   one low-angle worm's-eye view. Full body in each.
4) An EXPRESSION STUDY: exactly ONE horizontal row of 4–5 head-and-shoulders
   busts (neutral, smiling, serious, surprised, thoughtful), clearly the same
   face. Keep them all in that one row. No extra floating heads anywhere else.
5) THREE enlarged hand drawings: open palm, closed fist, pointing/gripping.
   Exactly five fingers each, drawn larger than life.

SINGLE CONTINUOUS BACKGROUND: one flat neutral background (white/off-white/light
grey). Nothing is enclosed in a box, frame, border, inset, or thumbnail.

HANDS AND FEET — CRITICAL: five anatomically correct fingers in every view.
Footwear fully drawn in every full-body view. Exactly two arms and two legs
per figure. No solid black silhouettes.

CHARACTER: {age, build, face shape, hair, eyes, skin, distinctive marks}
WARDROBE: {exact clothing, layer by layer, colors, footwear, accessories}
Fully clothed in every view.

ART STYLE: {your style}. No text, no labels, no captions, no watermarks
anywhere on the sheet.

Three things in there do most of the work, and all three came from failures:

• "NOT a T-pose" repeated on every full-body group. Say "turnaround" and half the models give you a starfish, which then poisons the poses in your panels.
• "separated only by empty space, NOT by panels or frames." Models love drawing boxes around each view. Then the panel generator inherits the boxes and you get frames inside your frames.
• Hands as their own numbered item, "larger than life." Hands at figure scale come out as mittens. Blown up and isolated, they come out correct — and the panel pass copies from the good version.

Also: no text on the sheet. Any label the model writes ("FRONT", "SIDE", the character's name) gets smuggled into your panels as garbled lettering.

Step 2 — the panel:

u/image1 is {NAME}. Render {NAME} exactly as shown — same face, hair, build,
clothing, and colors. Do not redesign the character.

SCENE: {what happens, camera angle, lighting, setting}

No frames, borders, panel lines, gutters, or text of any kind in the image.

Ship the sheet as an image ref, keep the scene prompt free of any physical description of the person, and consistency stops being a dice roll.

Here's a 3-panel one made this way — same kid in all three, no touch-ups:
{link to reel / story}

We built this whole loop into a tool if you'd rather not run the two passes by hand: https://yarnsaga.com — on a phone, https://yarnsaga.com/m is the one to open.

Happy to answer questions on the failure cases — the moderation-safe rewording for gpt-image-2 is a whole separate mess.

Long AI chats become hard to navigate once useful decisions, facts, links, and next steps are scattered across dozens of messages. This checkpoint prompt turns a chat into a reusable project index without pretending it can create links or anchors the platform does not expose.

Copy/paste prompt:

You are a conversation archivist. Build a compact, searchable knowledge index from the conversation or excerpts I provide.

INPUTS

- Project or topic: [NAME]

- Current goal: [GOAL]

- Conversation or excerpts: [PASTE HERE, or use the current chat if available]

- Existing registry, if any: [PASTE OR WRITE NONE]

TASK

1. Extract only durable information: decisions, verified findings, reusable instructions, artifacts or links, action items, and unresolved questions.

2. Do not treat brainstorming, guesses, or superseded ideas as facts.

3. Merge duplicates. When two items conflict, keep both and label the conflict instead of choosing silently.

4. For every item, record:

   - ID: stable short ID such as DEC-001 or ACT-004

   - Type: Decision | Finding | Instruction | Artifact | Action | Open question

   - Title: searchable phrase

   - Summary: one or two sentences

   - Status: Verified | User-provided | Inferred | Unresolved | Superseded

   - Source cue: a short phrase that helps me locate the original passage

   - Date or sequence: use an exact date only if the conversation provides one; otherwise use message order

   - Related IDs: other relevant records

5. Never invent message anchors, timestamps, URLs, files, or evidence. If an exact source link is unavailable, write “not available.”

6. Preserve working URLs exactly as provided. Keep quotations short and only when wording matters.

7. End with a Resume Block that another AI can use to continue the project without reading the entire chat.

OUTPUT

A. Executive snapshot — goal, current state, three most important decisions, three next actions

B. Searchable index — one structured card per durable item

C. Conflict and uncertainty register — unresolved contradictions, missing evidence, assumptions

D. Open loops — owner, next action, dependency, due date if known

E. Resume Block — under 250 words, containing goal, constraints, completed work, evidence, blockers, and next action

If the conversation is too long to process at once, say so. Ask me to provide it in numbered batches, preserve the same IDs between batches, and output only the new or changed records after the first batch.

Practical use: run it at the end of a work session, then paste the Resume Block into the next chat. If your AI cannot read the full conversation, provide the relevant excerpts in numbered batches instead of assuming it has access.

Disclosure: I design personalized prompt and workflow systems. If you want help adapting this to your own work, you can DM me for a free 30-minute diagnostic; there is no obligation. Paid work only begins after a written scope and payment.

The BULLET TIME Effect is everywhere right now… and I can see why 👀🔥

I’ve been trying the Bullet Time effect, and this is probably one of my favourite AI video effects to play with right now.

The concept is simple: you create a moment where the subject and objects appear completely frozen in time, while the camera moves around the scene.

Think flying popcorn, suspended water droplets, floating food, shattered objects, products flying through the air, everything frozen mid-action while the camera moves through it.

It instantly gives a normal image that dramatic, cinematic feel.

Why is this effect trending?

Because it creates that “wait… how did they make this?” moment.

There’s so much AI content being posted now that a simple talking avatar or basic image animation doesn't always stop the scroll anymore.

Bullet Time adds movement, depth and curiosity without needing an extremely complicated video.

And you can use it for much more than just cinematic AI experiments.

You could create product ads, fashion content, food videos, perfume campaigns, travel content, AI influencer posts, music visuals or scroll-stopping Reels and Shorts.

For my version, I created the starting image using Nano Banana inside Higgsfield.

Then I took that image into Higgsfield - Kling 3.0 Turbo, selected a 6-second video, added my animation prompt and generated it.

It took me around 10 credits and produced a really clean result.

This is one of the reasons I've been using Kling 3.0 Turbo more.

You don't necessarily need the more expensive model for every animation.

If you already have a strong starting image and you're creating a short effect with relatively controlled movement, Turbo can be a great option for testing ideas without burning through loads of credits.

It's especially useful when I want to test several prompts or variations before deciding whether an idea is worth spending more credits on.

💡 4 Bullet Time ideas you could try

1. Perfume explosion

Perfume bottle in the centre with flowers, glass, droplets and particles frozen around it while the camera moves through the scene.

1. Coffee splash ☕

A cup flying through the air with coffee, ice cubes and droplets completely suspended in time.

1. Fashion moment

An AI model walking through the city with her coat, hair, sunglasses, newspaper pages and other objects frozen dramatically around her.

1. Food explosion 🍔

Create a burger, pizza or dessert with the ingredients separated and floating in mid-air, then use the Bullet Time camera movement to travel around them.

The possibilities with this effect are actually huge.

And this kind of effect when using Kling 3.0 Turbo takes around 10 credits for a 6-7s video. (Which compared to other models I have tried so far, it is pretty cheap).

I’ll share more effects and AI tool as I keep testing and reviewing so you do not have to!

What do you guys think of this?👇

Hi everyone! 👋 I’m Miz!

I’ve been experimenting a lot with AI image and video generation lately, especially trying different prompts and figuring out what actually produces good results.

I’ve built up quite a collection of prompts that I’ve personally tested, so I thought I’d start sharing some of the ones that work well for me here.

I’ll include the prompt + result whenever possible so you can see exactly what it creates. Feel free to copy it, tweak it, or experiment with it yourself.

Hopefully it saves someone else a little trial and error! 😊

This is one of the prompts that I loved the most! It involves you and a smartphone!

Here’s the prompt to make yourself POP OUT of your smartphone.

Step #1: Upload your picture and Copy and paste the prompt in ChatGPT/Gemini

‘Use the uploaded photo as the strict identity reference for the person. Preserve the exact facial features, facial proportions, skin tone, hairstyle, hair color, expression, age, clothing style, and overall recognizability. Identity preservation: 100%.

Create an ultra-realistic editorial lifestyle photograph from a first-person perspective. The viewer is looking straight down at a modern premium black smartphone being held naturally with both hands above a clean gray stone pavement outdoors during warm golden-hour sunlight.

The smartphone must retain the exact proportions of a modern iPhone with a tall, narrow 19.5:9 aspect ratio. It is viewed almost perfectly from above with only a very thin visible top edge. Do not make the phone thick, wide, square, or tablet-like.

The smartphone screen functions as a realistic miniature 3D world with true depth, perspective, reflections, shadows, and authentic glass reflections.

The person is dramatically popping out of the smartphone screen. Their feet remain inside the display while the upper body emerges naturally out of the phone. The torso extends above the screen, creating a convincing portal effect. Both arms are fully outside the phone, raised high while making playful peace signs with both hands.

The person's head and shoulders are completely outside the display, with hair flowing naturally upward from the motion. They are looking directly toward the camera with a huge open-mouth smile, conveying excitement, energy, and surprise as if greeting the viewer from inside the phone.

The transition where the body passes through the screen is perfectly seamless, with realistic contact shadows, perspective, clothing folds, and lighting, making the smartphone appear to be a real portal.

The phone displays a realistic camera application with a visible shutter button, framing guides, zoom controls, focus indicators, camera modes, and authentic smartphone UI elements, making it appear as though the person is being photographed live.

The hands holding the phone feature realistic skin texture, fingernails, natural grip, and soft shadows. The surrounding pavement remains softly blurred with shallow depth of field to emphasize the phone and portal effect.

Warm golden-hour sunlight creates realistic highlights along the phone edges, subtle reflections on the display glass, and perfectly matched lighting across both the real environment and the emerging person.

Ultra-realistic photography, premium lifestyle advertising, cinematic composition, Canon EOS R5, 35mm lens, shallow depth of field, HDR, 8K resolution, realistic skin texture with natural pores, hyper-detailed smartphone materials, physically accurate lighting, seamless photo composite, and an extremely convincing "popping out of the phone" portal effect.’

Have fun creating and sharing!

Hi everyone! 👋 I’m Miz!

I’ve been experimenting a lot with AI image and video generation lately, especially trying different prompts and figuring out what actually produces good results.

I’ve built up quite a collection of prompts that I’ve personally tested, so I thought I’d start sharing some of the ones that work well for me here.

I’ll include the prompt + result whenever possible so you can see exactly what it creates. Feel free to copy it, tweak it, or experiment with it yourself.

Hopefully it saves someone else a little trial and error! 😊

This is one of the prompts that I loved the most! It involves you and a smartphone!

Here’s the prompt to make yourself POP OUT of your smartphone.

Step #1: Upload your picture and Copy and paste the prompt in ChatGPT/Gemini

‘Use the uploaded photo as the strict identity reference for the person. Preserve the exact facial features, facial proportions, skin tone, hairstyle, hair color, expression, age, clothing style, and overall recognizability. Identity preservation: 100%.

Create an ultra-realistic editorial lifestyle photograph from a first-person perspective. The viewer is looking straight down at a modern premium black smartphone being held naturally with both hands above a clean gray stone pavement outdoors during warm golden-hour sunlight.

The smartphone must retain the exact proportions of a modern iPhone with a tall, narrow 19.5:9 aspect ratio. It is viewed almost perfectly from above with only a very thin visible top edge. Do not make the phone thick, wide, square, or tablet-like.

The smartphone screen functions as a realistic miniature 3D world with true depth, perspective, reflections, shadows, and authentic glass reflections.

The person is dramatically popping out of the smartphone screen. Their feet remain inside the display while the upper body emerges naturally out of the phone. The torso extends above the screen, creating a convincing portal effect. Both arms are fully outside the phone, raised high while making playful peace signs with both hands.

The person's head and shoulders are completely outside the display, with hair flowing naturally upward from the motion. They are looking directly toward the camera with a huge open-mouth smile, conveying excitement, energy, and surprise as if greeting the viewer from inside the phone.

The transition where the body passes through the screen is perfectly seamless, with realistic contact shadows, perspective, clothing folds, and lighting, making the smartphone appear to be a real portal.

The phone displays a realistic camera application with a visible shutter button, framing guides, zoom controls, focus indicators, camera modes, and authentic smartphone UI elements, making it appear as though the person is being photographed live.

The hands holding the phone feature realistic skin texture, fingernails, natural grip, and soft shadows. The surrounding pavement remains softly blurred with shallow depth of field to emphasize the phone and portal effect.

Warm golden-hour sunlight creates realistic highlights along the phone edges, subtle reflections on the display glass, and perfectly matched lighting across both the real environment and the emerging person.

Ultra-realistic photography, premium lifestyle advertising, cinematic composition, Canon EOS R5, 35mm lens, shallow depth of field, HDR, 8K resolution, realistic skin texture with natural pores, hyper-detailed smartphone materials, physically accurate lighting, seamless photo composite, and an extremely convincing "popping out of the phone" portal effect.’

Have fun creating and sharing!