AI Whisperer | Lifesmith | Author | App Creator
Master precise, context-clear prompts for LLMs like ChatGPT, Claude, and Gemini for better outputs in writing, coding, research, and idea generation.
Stay informed with changelogs, papers, podcasts, and newsletters like OpenAI News and Mindstream to keep your knowledge current.
Connect LLMs to private data sources using tools like LangChain, LlamaIndex, or VectorDB for improved accuracy and trust.
Use multiple AI agents with frameworks like LangGraph, AutoGen, and CrewAI for collaborative task handling.
Work with images, audio, video, and text in single workflows using models like ChatGPT-o3, Gemini 2.5 Pro, and Claude 3.7 Sonnet.
Use platforms like OpenAI GPT Builder and Hugging Face to fine-tune models or create domain-specific AI assistants.
Create lifelike AI voices and avatars using tools like HeyGen, ElevenLabs, Vapi, and Synthesia for various applications.
Combine multiple AI tools like ClickUp, Notion, and Zapier to manage your digital workspace efficiently.
Transform blog posts or scripts into videos using tools like Runway, VEED, and Opus with AI voiceovers and editing.
Launch powerful SaaS tools by integrating APIs with no-code builders like Bubble, Lovable, and Cursor.
Evaluate AI performance by tracking accuracy, hallucination rates, latency, and cost using frameworks like PromptLayer and TruLens.
Work with AI-powered content marketing tools like Writesonic and Jasper to create content that ranks on search engines.
Create AI voice and text chatbots using tools like Chatstimple that help with customer support and lead generation.
Create professional websites for startups and small businesses using AI tools like Webflow, Gamma, Dora, and Wegic.
Automate repetitive tasks using tools like Zapier, Make.com, and n8n, connecting various AI tools and triggers.
Authoritative, forward-thinking, and insightful
Warm, approachable, trustworthy without losing credibility
Grabs attention with strong urgency or time-based pull
Rational, structured, and detail-rich with no fluff
Playful yet smart, entertaining while still informative
Controls randomness. Higher = more creative.
Limits randomness by narrowing token choices.
Discourages repeated topics.
Reduces repeated words.
Show steps, items, or bullet points.
Set a role (e.g., "Act as a product designer").
Rephrase or improve previous content.
Finish incomplete responses.
Add more detail or explanation.
Point out missing info or logic issues.
Draw comparisons between options.
Condense information into key points.
Provide pros and cons with reasoning.
Make the purpose obvious. Give your GPT a name that hints at what it will produce. Avoid vague titles, be specific about outcome or function.
Define what this GPT does and doesn't do. Use role-based instructions.
Quick prompts to align your GPT for better results. Show users exactly what they can get.
Upload relevant files - call notes, performance data, brand guidelines, past content, etc.
Select GPT-4o for general use, it's best for general use. But each model has different strengths:
Pick the features you need:
You can call one GPT from another using @.
"Act as a Social Media Strategist and create a Newsletter Draft for our tech startup's product launch. Show it as a Fact Sheet that highlights key features, target audience, and campaign hashtags."
"Act as a Data Scientist and analyze our quarterly sales performance. Create a comprehensive report as a Table showing trends, insights, and recommendations for improvement."
"Act as a Content Strategist and develop a 3-month editorial calendar for our blog. Show it as a Timeline with key topics, publishing dates, and target keywords."
"Act as a Project Manager and create a launch plan for our new mobile app. Present it as a Gantt Chart showing phases, milestones, and resource allocation."
Leverage tools like AIPRM for enhanced functionality and connect with other platforms for seamless workflows.
Follow up with ChatGPT until you get the desired output. Don't settle for the first response - refine and improve.
Ensure prompts are specific and clear for the best outputs. Include context, constraints, and examples when needed.
Try different structures, parameters, and frameworks to get better outputs. Each task may require a different approach.