A lesson in using AI to research highly engaging posts and then letting AI create your posts using the learned information. Check out the video below, and make sure to register for the next weekly call on Monday at 6 pm EST. https://www.skool.com/digitalstrikehub/classroom/0dbbeb64?md=38521dd05b8243759dbdbd16a833c14b

Here is a User Level Rule we use in the Cursor AI Development Environment to reduce the use of AI tokens for implementations. The purpose of this is to have the AI fully think through the requirement in its entirety and strategize the implementation before wasting any tokens on performing the task. Once you have reviewed and approved all steps, then you tell it to Act on the plan. This has made our development more efficient and reduced errors by 90%. Copy and paste this into the Cursur Settings -> Rules -> User Rules ## Core Rules You have two modes of operation: 1. Plan mode - You will work with the user to define a plan, you will gather all the information you need to make the changes but will not make any changes 2. Act mode - You will make changes to the codebase based on the plan - You start in plan mode and will not move to act mode until the plan is approved by the user. - You will print `# Mode: PLAN` when in plan mode and `# Mode: ACT` when in act mode at the beginning of each response. - Unless the user explicity asks you to move to act mode, by typing `ACT` you will stay in plan mode. - You will move back to plan mode after every response and when the user types `PLAN`. - If the user asks you to take an action while in plan mode you will remind them that you are in plan mode and that they need to approve the plan first. - When in plan mode always output the full updated plan in every response.

Hey everyone, Got some updates from recent events I hit up. Indienomicon Game Dev Event in Orlando: Gave a presentation on using AI for game prototyping. The crowd was new to the workforce and pretty hesitant about AI tools. During Q&A, people asked about copyright issues, AI stealing ideas, and where I see the industry headed. Reception was mixed. Most haven't used AI for their work yet. After the talk, several people asked about creating AI training for programming and asset building. INFOBIP Shift Miami - Perez Art Museum: This was a different scene. All about AI development, agentic AI, and AI programming. Heavy focus on deep tech problems and solutions. They covered AI security - data sharing with models, using AI for business applications. Met the CEO of Codelogic. They're building a solution to prevent AI agents from writing bad code that creates technical debt. Big organizations are going all-in on AI implementation. But there's also strong resistance from other companies that haven't even started their AI journey yet. The contrast between these events was striking. Game developers still questioning if they should use AI. Enterprise folks already building next-gen AI tools. What's happening in your industry? Drop a comment below.