Mitch

Deepseek

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A SPECIALIZED REASONING MODEL THAT EXCELS AT HIGH-LEVEL LOGIC, MATH, AND CODING. TO GET THE BEST RESULTS, USE THIS 4-PART STRUCTURE:

BEST USES:
PROGRAMMING ASSISTANCE
MATH AND LOGIC TASKS
TECHNICAL PROBLEM-SOLVING

LIMITATIONS:
LESS POLISHED INTERFACE
LIMITED ECOSYSTEM AND INTEGRATIONS
STILL DEVELOPING RELIABILITY

FORMULA: [TECH ROLE] + [STEP-BY-STEP TASK] + [CONTEXT] + [SETTING].
TECHNICAL ROLE: DEEPSEEK THRIVES WHEN GIVEN A SPECIFIC DOMAIN EXPERTISE (E.G., “ACT AS A SENIOR PYTHON DEVELOPER” OR “MATHEMATICAL RESEARCHER”).

STEP-BY-STEP TASK: USE “CHAIN-OF-THOUGHT” PROMPTING. EXPLICITLY TELL IT TO “THINK THROUGH THIS STEP-BY-STEP” OR “LIST YOUR ASSUMPTIONS FIRST”.

DATA/CONTEXT: FEED IT THE RAW TECHNICAL DATA, CODE MODULES, OR COMPLEX LOGIC PUZZLES YOU NEED SOLVED.

MODEL SETTING: FOR CREATIVE OR CONVERSATIONAL TASKS, USE DEEPSEEK-V3. FOR COMPLEX REASONING, CODING, OR MATH, SWITCH TO DEEPSEEK-R1.
SHORTCUTS:
REASONING TOGGLE: LOOK FOR THE “THOUGHT PROCESS” OR “THINK” BUTTON TO SEE THE MODEL’S INTERNAL DELIBERATIONS BEFORE IT GIVES THE FINAL ANSWER.

TEMPERATURE CONTROL: FOR CONSISTENT, LOGICAL OUTPUTS (LIKE CODE), SET THE TEMPERATURE TO 0.6.

SAMPLING: IF YOU GET REPETITIVE ANSWERS, SLIGHTLY INCREASE THE TEMPERATURE TO 0.7-0.8 TO INTRODUCE MORE VARIETY.

CODE REVIEW: PASTE A BLOCK OF CODE AND ASK FOR A “SECURITY AND LOGIC AUDIT” TO FIND EDGE-CASE VULNERABILITIES.
WORKFLOWS:
SYSTEM/CODE LEVERAGE: USE IT TO REFACTOR ENTIRE MODULES. FOR EXAMPLE: “REFACTOR THIS MODULE TO USE ASYNC/AWAIT WHILE MAINTAINING THE EXISTING API CONTRACT”.

SKILL MASTERY: USE THE “30-DAY ROADMAP” PROMPT: “ACT AS A [SKILL] MENTOR AND CREATE A 30-DAY LEARNING ROADMAP INCLUDING BEGINNER AND INTERMEDIATE STEPS”.

EXCEL/SHEETS AUTOMATION: WHILE IT CAN’T GENERATE A FILE DIRECTLY, ASK IT TO “WRITE A VBA SCRIPT OR GOOGLE APPS SCRIPT TO CREATE A FORMATTED TABLE WITH THESE COLUMNS”.

API INTEGRATION: DEVELOPERS CAN GENERATE AN API KEY TO INTEGRATE DEEPSEEK’S REASONING DIRECTLY INTO THEIR OWN APPS OR LOCAL TERMINALS.
LIMITS:
VERIFICATION LOOP: FOR HIGHLY SENSITIVE TECHNICAL TASKS, ALWAYS ADD A FINAL STEP: “REVIEW THE CODE YOU JUST GENERATED FOR LOGIC ERRORS IN EDGE CASES”.

STEP LIMITS: IF USING DEEPSEEK FOR AGENTIC TASKS, GIVE IT A HARD LIMIT: “YOU HAVE A MAXIMUM OF 8 STEPS TO COMPLETE THIS. AFTER STEP 8, PROVIDE YOUR BEST FINAL ANSWER”.

FACT-CHECKING: LIKE ALL LLMS, ALWAYS CROSS-VERIFY CRITICAL LEGAL, MEDICAL, OR FINANCIAL DATA GENERATED BY THE MODEL.

Deepseek Cert

Stable Diffusion

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An open-source image generator WITH deep control over the creative process.

BEST USES:

Image generation and editing

Custom AI art models

Local/offline image creation

 

LIMITATIONS:

Requires technical setup

Quality depends on the user’s skill

Can produce inconsistent results

FORMULA: [SUBJECT] + [STYLE] + [LIGHTING/DETAIL] + [NEGATIVE PROMPT].

Subject: Clearly define your main focus (e.g., “A futuristic astronaut,” “A cozy mountain cabin”).

Medium/Style: Set the artistic foundation (e.g., “Digital art,” “Oil painting,” “Cyberpunk aesthetic”).

Lighting/Detail: Enhance realism or mood (e.g., “Volumetric lighting,” “8k resolution,” “Intricate details”).

Negative Prompt: Crucial for SD. List what you don’t want (e.g., “Blurry, distorted hands, extra limbs, low resolution”).

SHORTCUTS:

Attention/Weighting: Use parentheses to emphasize specific words (photorealistic:1.5) makes it much more realistic).

Prompt Blending: Use the [from:to:when] syntax to switch subjects mid-gen [cat:dog:0.3] starts as cat & finishes as dog.

Shorten & Test: Start with a simple prompt and add only 1–2 keywords at a time to see their specific impact.

Styles Dropdown: In tools like AUTOMATIC1111, use the “Styles” menu to save and quickly apply complex prompt/negative prompt combinations.

CHEAT CODES:

Sampler Selection: Choose Euler A for speed and soft results, or DPM++ 2M Karras for high-detail, realistic textures.

CFG Scale: Usually kept between 7–9. Higher values (15+) follow your prompt strictly but can “burn” the image; lower values (3–5) give the AI more creative freedom.

Steps: 20–30 steps are usually enough for modern models (like SDXL); going higher (50+) rarely improves the image but increases generation time.

Resolution: Stick to the native resolutions of your model for the best quality (e.g., 512×512 for SD 1.5, or 1024×1024 for SDXL).

ADVANCED:

ControlNet: Use this to guide the AI with a specific structure (like a pose, a depth map, or a sketch) instead of just words.

LoRA (Low-Rank Adaptation): Small, downloadable “add-ons” that teach SD a very specific character, object, or artistic style (e.g., “Studio Ghibli LoRA”).

Img2Img: Upload your own image and use a text prompt to “transform” it into a new style while keeping the original composition.

Inpainting: Use a brush to “paint over” a specific part of an image you want to change, like swapping a character’s shirt or fixing a background error.

Stable Diffusion Cert

VEO

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a high-end video GENERATOR from Google THat creates 1080p clips with integrated sound.

BEST USES:

Creating cinematic video clips from prompts

Storyboarding and visual storytelling

Marketing and media production

LIMITATIONS:

Limited public access

High computational cost

Still improving realism and control

FORMULA: [Subject] + [Action] + [Environment] + [Cinematography] + [Style/Lighting].

Subject: Define your focal point with specific details (e.g., “A golden retriever with a blue bandana”).

Action: Use strong, descriptive verbs for one continuous movement (e.g., “Bounding through tall grass” rather than “walking”).

Environment: Describe the setting thoroughly (e.g., “A sun-drenched meadow at the base of snowy mountains”).

Cinematography: Direct the camera like a pro (e.g., “Slow low-angle tracking shot” or “Handheld POV”).

Style & Lighting: Set the mood (e.g., “Cinematic 35mm film grain, warm golden hour glow”).

SHORTCUTS:

Audio Generation: Unlike most video models, Veo generates native sound. You can add specific audio cues like “Crackle of a campfire” or “Character says: ‘Welcome home'”.

Extended Thinking: Use the Flow Scene Builder on Google Labs to stack 8-second clips into a longer narrative.

360° Video: You can generate immersive content by adding “360 video” or “equirectangular” to your prompt.

Negative Prompts: Use tags like –no text, blurry, morphing to filter out common AI video artifacts.

CAMERA COMMANDS:

Framing: Extreme close-up (details), Medium shot (waist up), or Establishing shot (wide scene).

Movement: Crane shot (vertical movement), Dolly zoom (the “Vertigo” effect), or Pan (side-to-side).

Angle: Bird’s eye view (overhead) or Dutch angle (tilted for tension).

ADVANCED:

Front-Loading: Veo weights the first few words of a prompt more heavily—put your most important subject first.

Consistent Characters: Use the –cref (Character Reference) or “Frames-to-Video” feature to keep characters looking the same across multiple clips.

Aspect Ratios: Specify –ar 16:9 for cinematic, –ar 9:16 for vertical (social), or –ar 1:1 for square formats.

Dialogue Controls: When prompting for speech, add (no subtitles) to prevent the AI from burning text into the video frame.

Kling

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Kling AI is a powerful generative video and image platform developed by Chinese tech company Kuaishou.

It is widely used by creators, filmmakers, and marketers to generate hyper-realistic, high-definition videos from text prompts or reference images

Canva AI

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Canva AI is a suite of artificial intelligence tools integrated directly into the Canva platform that helps you generate, edit, and brainstorm visual content using text or voice prompts.

It functions like an “all-in-one creative teammate,” allowing anyone to design graphics, videos, documents, and even interactive websites without needing advanced design skills

Perplexity

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Perplexity is an AI-powered search engine and research assistant. Instead of a traditional list of links, it uses generative AI to instantly search the web, read multiple sources, and synthesize a natural language answer. Every response includes clickable, inline citations so you can verify the information yourself

Chat GPT

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Claude

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Midjourney

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Lovable

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Lovable is an AI-powered platform that lets you build full-stack web applications and websites simply by chatting with AI.

You describe your idea or drop in screenshots, and the platform generates a complete, working app—including the frontend, backend, database, and authentication—in a matter of minutes.

 

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