this was so hard for me to even wrap my head around as i feel like ive got no concrete knowledge base in any industry at all and literally nothing to go off, but i tried to build something for the experience anyway, they're fun! Repo: https://github.com/DooceyBoy/conversion-autopsy Live demo: https://dooceyboy.github.io/conversion-autopsy/ Conversion Autopsy diagnoses one thing: why an indie or solo-founder SaaS product got real trial or freemium signups and none of them converted to paying. It's for founders who have some evidence of what happened, even messy or incomplete, and want the one real cause instead of a checklist or a fix.

my heart just dropped i thought i won hahahahahahahahahaha , i saw a mention and was like what the hell was not expecting that, nearly had cardiac arrest, such a good idea though for the post as i myself have been scrolling through the comments trying to see what everyones built and what i can make use of, thank you for the post bro really helpful, and thank you for the mention 💙

@Craig Howard Appreciate it craig thank you! 😁

@Craig Howard Awesome bro glad it could help you out , thank you for trying it! 💙

so before starting any kind of project, the folder system and .md files are basically mandatory to increase your functionability all round? better input, better output, more understanding, improving the space claude works in basically giving it a catalogue of instructions and decision making tasks making it function better, but then how would you go about implementing this into a business for a client? does it work better in one kind of niche compared to others? in my mind it feels like it would benefit a more established kind of industrial sized company compared to like a roofing company for example, are there some companies or places where youd steer away from this concept?

@Amber Holden Hey amber thanks for spending the time messaging i appreciate it 🙏, I like your thought process behind it and good analogy, the way I perceive it is like, there is only one ai at any given time, inside the project, its the same ai, same LLM, so in this case well say claude is the ai/LLM but it takes on the role of whatever room it steps into (rooms are folders) so say you walk into a working office space(load up claude in your folder/project), theres one floor , first you just see a desk secretary (root agent), you haven't entered any rooms yet, the desk secretary (agent) already has an entire map infront of him, he knows it every single time you walk into the office (load up claude) this map (depending on how you structure your agents.md) contains precise and accurate information of the entire floor, what departments there are, who works in there, what their roles are, what they should be relied on for, routing tables, rooms, governance etc, you ask a question, or tell it an idea or give it an instruction, within seconds the secretary refers to its map infront of it, understands how your input is relevant to a specific room, claude then enters that room, and becomes the agents.md within it (a new role instead of the secretary) it doesn't bring along the information from the desk, it doesn't need it at all times, only when its relied on, if it doesnt belong in the room its currently in, it will go back to the desk to find out where it should belong. Inside the new room it entered, it becomes this new agent, with a whole new personality, skill set, instructions within that department (could be lead generation for example), you then complete some tasks that belong there in accordance with its instructions and guard rails, if you then , inside the lead gen room, asked something about marketing skills for example, the lead gen agent doesnt guess, it acknowledges it isnt within its skill set or capabilities (doesnt contain enough information to assist inside the agents.md file) and simply sends claude back to the secretary, same ai, same LLM, taking on different roles as it reads different agents files within certain rooms, the secretary will then route claude to the marketing room, where it then reads the agents.md file within that room, and takes on the role of that space, its one ai, one model, becoming multiple "agents" "workers" whatever you want to call them, as it moves across the project, its not multiple different agents all living and working at the same time, just pure organised calculated orchestration, but the true value and power of the system comes from the Intel and input you provide the agents within every area , so where im at now with it is basically realising I am not a proffesional in any department or skill or trade , so I dont really have enough intelligence to provide an agent with proper true specific work skills and that to make it the best possible thing, so I do think yhe more skilled and educated the human behind the system, the more talented and capable agents they will build for sure.. so using these principles i think i now realise that they can be applied into anything as long as theres a good enough understanding on the way that business or even individual thinks or runs processes, what we learn in here I think is to bring value from a source , one person, 10 people, a whole business, and use ai to amplify and better the tasks that already exist as effectively as we can to improve their workflows and prioritise their time and skill where necessary , bit of a long answer sorry I kind of got carried away lol