For New Projects:

1. Planning Phase: Type your idea(s) and ask several AI's in web chat's to brainstorm with you and help you figure out a real plan, into notepad or a blank file. - this is just so you can paste into multiple web chat's
2. Multi-Model Consultation: Paste into two or three of these models web chat's for different "doctor's opinions":
   • Gemini 2.5 Pro (free)
   • GLM 4.5 (free and unlimited!)
   • Qwen3-Coder or one of the -2507 models
   • o4-mini on OpenAI Playground to use the free 2.5mil daily tokens
   • Claude 4 on Poe.com (free daily credits)
3. Refinement: Go back and forth to fine-tune details
4. Task Generation: Have model write a PRD (Product Requirements Document) markdown file or similar, like "APP_REQUIREMENTS.md" or website requirements etc with a list of all the things it must have. Then have it write step-by-step task list with subtasks, for an AI coding agent to implement. Save this to a new project folder - and you might want to run 'git init' if you use Git.
5. Execution: Copy/paste into Cline (or just tell it "your task is in the project requirements .md file") set to GPT 4.1 for 'act' mode (or Qwen 3 Coder, GLM 4.5 Flash.. also free currently and excellent). If you prompt the web models to break a big project into small enough sub-tasks, then you can get away with using a cheaper implementation/agent model. "Cheap" right now for me is GPT 4.1 using the Github Copilot API (I don't even use the actual copilot much I just like the unlimited 4.1 - also every month you get credits to use all the top expensive models like Opus/Sonnet 4 which are great for top level planning, you can also use copilot's own web chat interface)

For Problem Solving, fixing hard bugs:

1. Load AI Code Prep GUI tool (type 'aicp' in terminal) and type the problem into the prompt box, look at which files are already selected to make sure that it looks good for context (when in doubt, add more code files, usually it helps)
2. Set the options to 'Add prompt to top' and ''..bottom' is usually how i leave that setting.. it seems like it would be wasteful but it seems to help focus the model on the problem better than only having the prompt on top or bottom
3. If I am confident that it will be able to fix my problem I will click one of the preset buttons for Cline/Roo Code or one for an agent prompt which just pastes some extra text to the end of the current text in the prompt box, telling the AI to write a solution for an agent to implement the changes (experimenting with this will be the easiest way to understand what it is for - it just saves you from typing that)
4. Click the "GENERATE CONTEXT!" button, and if its a hard problem.. i'll paste it into Gemini 2.5 Pro, GLM 4.5, Kimi K2, Qwen3 Coder or 2507 Thinking.. all on their native web chat website (Qwen has an annoying web chat where it pastes it into a file so you have to tell it to read the file)
5. Sit back and watch several solutions stream in, bathroom break. Using several AI's from several different companies is a great way to get some diversity in the outputs and it is better than for example.. just using 5 OpenAI models or just using Anthropic's models. It reminds me of how people will have healthier kids if they mate with people from different cultures/different parts of the world. It just produces a faster / better solution. You can even cut and paste the outputs of all of these into Gemini 2.5 Pro (its got such a large context window to handle it) and have AI again compare them all and produce a final "best of all" solution.
6. Problem solving like this will often "one shot" a perfect solution, instead of letting agents run around your file system trying to slowly figure out solutions with all the tools and MCPs and other stuff it is often just faster to do it this way!