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AI Helps Marvin the Mole Come to Life
AI has allowed a 20-year love of writing come to life with my Marvin the Mole Childres's book collection. Three books are finished in 9 months. Illustrations are complete and being well received. I was able to build a publishing company from the ground up with being able to ask many "how do I do this?" questions in AI. The most current round of instruction prompted me to explore the world of music to help market the books. It has been an amazing journey.
AI Helps Marvin the Mole Come to Life
Building System, Tools & Automations in Claude Cowork + Fable 5 This Weekend
Anybody else building business systems, automations and tools this weekend? Extra usage in Claude Cowork through July 5th and usage for Fable 5 before it goes behind an API/paywall. Wooo hoooo!
Building System, Tools & Automations in Claude Cowork + Fable 5 This Weekend
Learn AI's Language to get better results.
The reason AI keeps disappointing you has nothing to do with AI. It has everything to do with how you are talking to it. AI has its own language. And most people are communicating with it like they are sending a casual text. Vague input = Vague output. Every time. I kept seeing this pattern with founders who told me AI was useless for their business. I asked to see their prompts. They were writing one sentence and expecting a finished strategy. The fix is simpler than you think. Use AI to write your prompts for AI. I built a custom Meta Prompt Generator, a single AI tool with one job. You give it a rough idea in plain language. It transforms that into a structured, advanced prompt that any AI platform can actually work with. The output quality difference is immediate. I am dropping the exact prompt in the comment section so you can build this yourself for free. Grab it, set it up once, and use it every time you need AI to do something serious. Better prompt = Better output. Every single time. PS. Since the prompt is tooo long, just dropped it in the comments. Q: Have you ever used a Meta Prompt Generator?
Is AI really replacing people?
What's really happening 👇 The core idea of AI is Leverage, It gives you Leverage- to do more faster, with fewer resources:- ~Automate : Routine tasks ~Brainstrom : Ideas & content ~Generate : Image & videos ~Summarize : Data & Documents Automation gives scale AI adds intelligence together they create leverage not replacement. ~Ai isn't replacing people. It's actually replacing takss. ~Just like calculators didn't replace mathematicians they made them faster. ~People who know how to use AI will replace those who don't. Do you agree? different opinions are most welcomed 👇 Harsh Singh
Is AI really replacing people?
I just built this production ready 'Support Gmail Agent' with the help of Claude code
What started as a demo is now almost production ready, let me walk you through it: I built this for a Imaginary Tech company called 'Gadgets & More Electronics' (Yeah I know name is not sounding like name) First of all the workflows, There are actually Two workflows: 1.The first one is for document ingestion. Where I have converted the FAQs & The policy pdf into chunks & uploaded them into Pinecone vector database. 2.The second one is our Support Gmail agent. Now let's talk about it what it does:- ~It checks for new emails every 15 minutes, takes only unread emails ,newer than 10 minutes. ~Then it detects whether the emails are automated or not, if it is Automated then workflow will stop but if it is not automated it will continue ahead. ~Then it extracts the customer's name from the emails to make it personalized to them. ~Then it will classify the query or emails whether it is Support relevant or not if not the workflow will stop right there but if it is then the workflow will proceed ahead. ~Then comes our support Agent which has our Pinecone vector database as a tool where our policy and FAQs are stored, it knows how to handle each topic, Personalization ,Tone and brand voice ,Output formats, rules, Confidence scores based on the retrieval of data. ~Then there is Agent response checker which will see whether The agent actually found the policy or not? because sometimes you know how Agent make up and hallucinate. ~If the policy found it will create a draft so that a human can review and send it and if it does not found the policy it will create a fallback draft. This is the entire workflow, will drop demo videos today. let me know whether we can add some new features,or add some more guardrails......Just let me know i am welcoming all thoughts and perspective. Harsh Singh
I just built this production ready 'Support Gmail Agent' with the help of Claude code
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The AI Advantage
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Founded by Tony Robbins, Dean Graziosi & Igor Pogany - AI Advantage is your go-to hub to simplify AI and confidently unlock real & repeatable results
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