TIPS
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Desc
Main
GPT (OpenAI)
GPT-5 Thinking — deep reasoning, multi-step planning, tricky debugging, careful analysis when accuracy really matters. Use carefully, it is a beast and many times overthinks simple tasks
GPT-5 Instant — quick drafts, summaries, routing/orchestration, chatty helpers, rapid iteration loops.
Gemini (Google)
Gemini 2.5 Pro — huge-context reading, cross-document synthesis, multimodal analysis (text/code/vision) with strong planning.
Gemini 2.5 Flash — fast agentic runs, tool-calling at speed, snappy brainstorming and UX interactions.
Claude (Anthropic)
Claude Sonnet (latest) — polished long-form writing, nuanced tone control, thoughtful reasoning for complex text work.
Claude Haiku (latest) — very fast summaries, data extraction, straightforward transforms and Q&A.
Grok (xAI)
Grok (Reasoning) — current-events aware analysis, concise logic, solid code/math when you want sharp takes.
Grok (Fast) — quick replies, short summaries, conversational assistance and light edits.
Alternative
DeepSeek
· DeepSeek R1 (Reasoning) — tough step-by-step logic, math/code proofs, deliberate problem-solving. Hugging Faceapi-docs.deepseek.com
· DeepSeek V3.1 (General) — fast day-to-day generation and tool use when you don’t need full reasoning mode. api-docs.deepseek.comHugging Face
Qwen
· Qwen2.5-Max — flagship generalist: complex analysis + strong multilingual. Qwen
· Qwen2.5-1M — huge-context reading (long PDFs/transcripts) and cross-document synthesis. QwenHugging Face
Hidden gem for paper research
Scira.ai (platform)
· Scira + Grok 4 Pro — fresh web research and current-events Q&A with citations. Scira AI+1
· Scira + Qwen 3 32B — multilingual, technical web scans that still return sources. Scira AI
ription text goes here
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You can enter tasks in any format, but the level of detail dramatically affects the quality of your results:
Vague Input:
- Example: "Launch a product"
- Result: Generic, one-size-fits-all approach
- The system will make assumptions about your industry, target market, budget, timeline, and constraints
- You'll get basic, cookie-cutter subtasks that may not fit your specific situation
Short Input:
- Example: "Launch protein bars in Canada"
- Result: Better context, but still requires the system to fill in many gaps
- You'll get more relevant subtasks, but they'll be somewhat generic
- The system knows the product type and market, but not your specific constraints or requirements
Detailed Input:
- Example: "Launch MapleBite protein bars in Canada next quarter, need distributors, $50K budget, GST/HST compliance required, targeting health-conscious consumers aged 25-45, competing against Quest and RX bars"
- Result: Highly targeted, actionable strategy
- Choose the right council tools (High-Stakes Crew for compliance, Playbook Crew for distributor management)
- Generate specific, executable prompts that address your exact situation
Why Detail Matters:
- Better system Selection: The system can match your specific challenges to the right mindset
- Smarter Tool Selection: Detailed context helps choose the most relevant frameworks and techniques
- More Actionable Prompts: Specific constraints lead to more targeted, executable instructions
- Reduced Assumptions: Less guesswork means more accurate, relevant outputs
- Faster Execution: You spend less time refining generic advice and more time executing specific strategies
Pro Tip: Even if you start vague, you can always refine your task description and regenerate the cards. The system learns from your input and gets better with each iteration.
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One of the most powerful features is the ability to refine prompts. If you're not happy with a generated prompt, simply ask your LLM to adjust it:
Examples:
- "Adjust this prompt to include European markets"
- "Modify this to focus on B2B instead of B2C"
- "Add compliance considerations for healthcare industry"
- "Make this more suitable for a startup with limited resources"
The LLM will return the original prompt with your specific amendments, maintaining the structure while incorporating your requirements.
FAQ
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No! This system works for any field or personal use:
Business Examples:
- "Launch a new product line"
- "Restructure our sales team"
- "Enter the European market"
Personal Examples:
- "Plan a wedding for 150 guests"
- "Start a side business while keeping my day job"
- "Prepare for a marathon in 4 months"
- "Renovate my kitchen on a budget"
Academic Examples:
- "Write my master's thesis on quantum computing"
- "Prepare for medical school applications"
- "Research and publish a paper on AI ethics"
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No, but you can reference them in your task description:**
Instead of attaching, write:
- "I need to review Q3 earnings report and identify key trends"
- "Analyze the cost of goods sold file to find optimization opportunities"
- "Review the customer feedback survey data to improve our product"
- "Study the competitor analysis document to develop our strategy"
- "Examine the legal contract to identify potential risks"
- "Analyze the market research data to validate our assumptions"
The system will generate prompts that guide you to:
- Extract the right information from your documents
- Ask the right questions about the data
- Structure your analysis effectively
- Draw meaningful conclusions
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Usually less than 60 seconds for a complete set of cards, depending on:
- Number of subtasks (typically 7-10)
- Complexity of the task
- Current system load
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Yes!*You can:
- Modify any subtask description
- Delete subtasks you don't need
- Add new subtasks
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Yes.** The system:
- Doesn't store your task details permanently
- Only processes what you input
- Generates prompts
- No data is shared with third parties

