I am having a conversation with some other guys about this, DM me for details Starting a call at the top of the hour to MasterMind this idea

Input: Talk to your agent about setting intentions (intend.md) -> Run it through your system ontology (ideally Json) <- Output: Artifact as your "fruit" Your agents and you will understand what you're doing more by using this very human analogy. 👇 Bonus points if you run it through the intention development life cycle (IDLC) shown below 👇

Anyone who has a Skool community for at least a year! I would love to speak with you about a mentorship proposal! I am requesting help, assistance, and perspectives that will constructively increase the Value Offered within The Workshop Skool community that I am facilitating -> https://www.skool.com/workshop-build-extraordinarily/about My Goal is to increase the LifeTime Value to $50 per member and get to at least 500 Members by middle of next year! Mentorship collaboration can be mutually beneficial and I am open to conversations about mutual value exchange! Whether it's affiliate exchange, introductions in a niche network, etc Appreciate the support guys

What is something about AI that is frustrating but no one is saying out loud? This is your permission slip

Create an Intent.md and become the Originator of your processes. In the Software Development Life Cycle (SDLC) the primary bottleneck has moved from the coding/building phase to the processes surrounding it. This means that Al-native SDLC (ie using AI) shifts the focus from writing code to holding INTENTION through your processes. Here is the simple flow: [Start] ↓ 1. Discovery & Intent ➔ Creates `intent.md` ↓ 2. Spec Generation ➔ Creates `spec.md` ↓ 3. Build Mode ➔ Creates `plan.md` ↓ 4. Test Phase ➔ Validates & verifies ↓ 5. Deployment & Governance ➔ Human review/Release ↓ 6. Maintenance & Monitoring ➔ Detects issues ↓ [Loop Back] ➔ (Triggers a new `intent.md` if an error occurs) ➔ [Back to 1] Now more in depth! 👇👇 1. Discovery (the fun part): You talk to an Al to define the goal, which is saved as an 'intent.md' file. 2. Spec Generation (more intentional and specific ofc): The Al automatically creates a technical plan ('spec.md") based on that intent. 3. Build Mode (monitor this and understand for first time users): The Al uses the spec to write code and create a 'plan.md'. Multiple Al agents can work on different tasks simultaneously using git branches. 4. Test Phase: The Al runs all tests and checks automatically to ensure nothing is broken. 5. Deployment: The Al creates a pull request for human review, following strict security and governance rules. 6. Maintenance: The Al monitors the live system. If an error occurs, it detects the problem, creates a new 'intent.md', and begins the cycle again. Happy building 🎉