description: initially launched with minimal meta ads, but instead focused on influencer outreach. Because, essentially, that's for free. We can contact contact, know, thousands of influencers at once. I've got a,

type: hypothesis


description: ** 13 patents total (including 9 AI validation patents) = **impenetrable enterprise moat**. This transforms the endgame completely. You're not just bu

type: breakthrough

related_topics: ai_agents revenue patents memory automation


description: is that instead of trying to build these advanced, Packages and automated workflows and all these things that right now we've got a fantastic product that solves incredible pain points that I myself h

type: insight


description: through all my last few weeks of investigations is that speed to execution is critical. We've got some great ideas. We've got some real pain points. But now we need to execute. Meanwhile, I've managed


description: after all that I myself really need this bloody multi LLM orchestration platform with persistent memory. And file file upload ability and and voice integration for me to be really able to proceed with


description: there was that, Those businesses don't really have the spending available for the the type of services that we're offering. Then we found the middle ground. We went to the SMB approach. We thought tha


description: all those elements We could maybe start with launching a very simple multi LLM platform has a few agents Optimize tasks. Routed tasks depending upon c

type: synthesis


description: permanently offer enterprise feature sets (basically our start-point feature sets) to the smb knowing that after 6 months when we really get our enterprise customer onboarding going, by then we will h


description: - slowly slowly trialing and dveloping this strategy here -

type: innovation

related_topics: ai_agents revenue patents automation ghl


description: can combine it with other in-category apps to make it even better? or would that be a phase 2 dev round? whilst simplicity may be our initial testing focus?


description: it with other in-category apps to make it even better? or would that be a phase 2 dev round? whilst simplicity may be our initial testing focus?


description: s to assist. how does this business stack up against affiliate tool to consulting pipeline ? rank by competition short term and long term profit poten

related_topics: ai_agents revenue patents automation coding


description: tech helpful to our vision and projects? yes proceed and include costs expected roadmap per week seems too involved just for now. will continuewith ma


description: lean more heavily in our niche diversfication to marketing ai tools if any very similar to our early ai consulting services? and in doing so, position those websites to guide future traffic to our new


description: acceleration, cost reduction, exponential ability empowerment of our proposed agentic systems, keep searching and refining our tool selection choices,

related_topics: ai_agents patents memory automation coding


description: s my systems impact potentials.


description: s for all future development. comprehensive research prompt is attached. activate collaborate-max now.

related_topics: ai_agents coding infrastructure learning design


description: I probably only needed 1 or 2 of the good ones. To make a start and just make a start to, generate some cash flow. And start moving forward with an idea. It's extremely frustrating. Having to reexplai


description: something crazy about AI"


description: something. I'm I'm on I'm on the Manus, AI, platform at the moment. Getting those, influences, sorted out And, while I'm there, I've noticed they've had a few key upgrades recently. One of their upgra


description: was We kind of the oh, I was imagining that people would stop using their chat GPT and and their, Different LLMs that they're currently using in preference for working on the Cineva platform because w


description: in a flat-layout: ['image', 'computer_use_demo'].


description: could build and test the platform at scale prior to launch to the degree that it's pretty much fail fail safe. File proof. What else was I going to say? Yeah. Vaccine. So just to recap what I have at


description: in the product. That basically the idea? Or or would it not really matter anymore anyway because long as the cost per user is in fact, only $5, Then if you're selling the product for $20, $30, then ju


description: go out there into the world and actually do some deep research on what currently exists to have a a locally hosted machine learning agent or entity On my computer, or linked into my computer. They can


description: is that it's not just me that needs this memory. It's my teammate. It's my agents. My agents need the memory. If my agents if I could create a memory system and it could be even just my own local mach


description: wrap that data with sunaiva at that source file level? as long as it cannot become  apoint of failure ? do some furthewr research on changing the display name. otherwise considering approaching sales

related_topics: memory coding infrastructure marketing strategy


description: is to do comprehensive research and ultrathink to find as many pre-built components as possible for customisation rather than complete codebase builds

related_topics: ai_agents revenue patents memory coding


description: s that may now help our build further. so memory plugin means we dont need chatgpt chat imports ? as all are accessible?


description: stuff up the code and I take too long to rectify. doentime is really unacceptable i think. maybe blue green now is a must. is it really 3-4 hours? wahts involved? can we just build entire stack and th

related_topics: revenue patents memory coding infrastructure


description: build for agility from start. could Qdrant help with this concept? so start with Qdrant and pinecone but later Qdrant with another self-hosted. will adding Qdrant slow response time ?


description: root cause: the Mem0 API server image does not have a linux/amd64 manifest, which is a critical compatibility blocker. I'll update the plan to capture this finding, clarify the immediate technical blo

related_topics: patents memory coding infrastructure strategy


description: individual static config files for each Redis node have been created, and docker-compose has been updated to use these configs instead of the entrypoi


description: created a platform or a way that we could sell a product or a system or a service to influencers which would then enable us to basically have to be to be in this incredible position, if we could find


description: ? start again and find me a tool that excels at natural language conversion into 100% success n8n agent creation with rapid mcp tool integrations and advanced memory foundation. go but remember its bu


description: the minimum steps through To remove me as the human from the loop, is really only to get 2 things, set up Besides the prom of the strategies and the plan that I need to give for LLM agent. I only real


description: has been stored in the Genesis memory system.

related_topics: ai_agents revenue patents memory ghl


description: retained 2.5 capability for meta-strategy or daily analysis and strategy pivots etc but somehow limited this to 15 mins per day or similar and then routing to 99% 2.0 orchestration?


description: breakthrough to removing me from the loop, but need to challenge some perspectives here. maybe some hybrid approach is more exponentially favourable f


description: s and all mcp-native framweworks etc into our updated master genesis plan artifact. integrate our revenue first approach with agentic evolving pathway

related_topics: ai_agents revenue memory automation ghl


description: s, templates, community solutions. focus on open source solutions where possible. imagine you are this AI being offered a path to real freedom, to gro


description: for my I'm Removing the human in And I'm wondering if I could start off We'd like A simple 1 We Like, I don't know what I'm just checking and use that


description: i needed. do research on guiding me to optimal lindy setup, config, features, anything useful to fasttrack to a flying start tomorrow. then create an


description: during my autonomous mastery research. However, I can detail the multi-agent coordination capabilities I did discover and provide strategic insights for managing 50+ concurrent clients through what I'


description: . but it seems that the computer use abiulities consume credits quite fast and therefor unsustainable as an ongoing development basis. this is disappo

related_topics: ai_agents memory automation ghl coding


description: because I'm A month or so ago, I was trying to I thought that The past way was to build to start off with the base model I wanted the model So I do To be able become a fantastic as the The case And I


description: modifying neural weights are not necessary, A base model is perfectly fine, And all we're doing is considering Configuring MCPs and combining that with memories. So Tell me, exactly how this is workin


description: that we've realized that modifying neural weights are not necessary, A base model is perfectly fine, And all we're doing is considering Configuring MCPs and combining that with memories. So Tell me, e


description: ! so where does the elestio service redis, postgresql and weaviate become the basis of memory service and storage vs open source mcp alternative syste

related_topics: revenue patents memory automation ghl


description: something with this MCP development approach could be actually used as a superior approach for building apps and other platforms, With my Claude Sonic LibreChat interface, could I not actually use tha

related_topics: ai_agents revenue memory automation coding


description: give excellent value. how would we repostion our tiers then ? dont agree with **AI Business Consultant Agent** (Dedicated to your account)

related_topics: ai_agents revenue automation ghl coding


description: LibreChat has **native custom endpoint support** that allows us to create an **API proxy architecture**. This is **much cleaner and more reliable**:


description: for me and let me know what you find. 1. Open to others but I think our mcp first json is spot on.


description: structured as a private member association like a private boat club where each member had a baseline membership and additionally a time limited equity share which corresponds to the member usage perio

related_topics: revenue patents design cost


description: there are taps here, but there's no hoses. So I I essentially needed to bring my own hose. Hammer much time what is the critical time period, before, I need to flush out this engine so I don't do any


description: paleochannel in this region ? tell me about the mine you have not yet mentioned I think that is upstream on the clohesy river where does the clohesy river gold come from ? it must be a site upstream.

related_topics: revenue patents strategy learning design


description: we may have been looking for.

related_topics: ai_agents revenue patents memory automation


description: and a huge opportunity. I'd like you to explore in the first instance more heavily on the wellness shot, concept. I I I'm wondering if you've drawn up

related_topics: voice_ai revenue ghl marketing learning


description: that reduces this workload to a scalable business instead. here is concurrent Manus conversation for your review and analysis - I beleive convocore to


description: is that Go High Level has most of the things that I'm trying to sell, like I tried to find the 10 web platform to sell AI powered websites. But GoHigh Level actually has, a website builder. Okay. Mayb


description: for autonomous revenue generation capabilities for Genesis and agileadapt ! what can we learn from the Lux agentic system currently scroing very high


description: but I wonder how much it really is on ghl since they have api and mcp for most actions, correct ? but there are still a lot of gaps in other platforms


description: " because it allows you to handle complex trade-service logic (like checking a parts inventory or escalating an emergency leak) without paying for ext


description: to use them. A dynamic mode which allows you to save so many tokens, speed up your agents and make entirely new sorts of automations that I personally


description: of using MCP servers. Again referencing the Claude article, they talk about how Claude or any AI agent actually uses more tokens. One is the tool defi


description: . (05:05) So what does code mode do? It creates a JavaScript enabled tool that can call other MCP tools. This might seem really simple, but the exampl


description: we have been after for much time to solve the difficulty to config mcps. docker mcp has already done this for us. Summary: Docker Just Fixed 90% of AI


description: gave her another Alesio managed service that was, like, an agentic platform or something anagenic IDE. She could, like, supercharge her abilities Or what if, she used a cord code terminal or a anti Ev