s my systems impact potentials.


PIVOT:  -> discussing any content generation systems or platf


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


PIVOT:  -> becomes an advantage - it forces you to be lean an


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


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


PIVOT:  -> B2B with premium content/google ads/linkedIn combi


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


PIVOT:  -> building the tool/app. rank this alongside my othe


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?


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?


PIVOT:  -> build an audience BEFORE building anything. so sec


PIVOT:  -> update the documents now.


- slowly slowly trialing and dveloping this strategy here -


PIVOT:  -> also very substantial so difficult to decide reall


PIVOT:  -> having built something verypowerful and then mocku


PIVOT:  -> I would like you to update the master prompt to al


PIVOT:  -> Did:** Ignored established 8-day timeline and $6,2


PIVOT:  -> Did:** Introduced contradictory 18-month/$2M devel


PIVOT:  -> Did:** Applied traditional software development me


PIVOT:  -> Did:** Weakened positioning by suggesting platform


PIVOT:  -> be able to do at the end of this 8 day period? wha


PIVOT:  -> for now, let's just go ahead with original plan de


PIVOT:  -> these convesation scripts are powerful for me to g


PIVOT:  -> good enough yet to integrate in this way, it could


PIVOT:  -> like the biggest market to focus on in some ways.


PIVOT:  -> convinced you against all other factors. I agree w


PIVOT:  -> put aud next to the pricing?


PIVOT:  -> the best strategy, the safest strategy, the most p


PIVOT:  -> listing prices on an australian website with .com.


PIVOT:  -> I am in cairns, could this be problematic? do you


PIVOT:  -> would flow really well with smb being sunaivacore.


PIVOT:  -> my ai assistant. my understanding is that real tim


PIVOT:  -> amaze and inspire confidence in our emerging tech


PIVOT:  -> deploy for real platform activation? how to achiev


PIVOT:  -> utilise persitent memory for myself now? I need au


PIVOT:  -> an avatar, and this makes sense. so instead I have


PIVOT:  -> have nothing, claude says it has built so and so b


PIVOT:  -> execute them to create live Digital Ocean resource


PIVOT:  -> deploy and I don't need to do it? is this to run i


PIVOT:  -> smb being my entry point plus concurrently I have


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


PIVOT:  -> build and maintain and continually optimise platfo


PIVOT:  -> workingunaiva# # Test what's actually working


PIVOT:  -> create afeature set after 6 months that is so much


PIVOT:  -> prime directive is to activate interchat memory pe


PIVOT:  -> working. how can I use it? it will exceed the chat


PIVOT:  -> do intake automation? insurance pre-authorization,


PIVOT:  -> work in real world business?


PIVOT:  -> ACHIEVE CROSS-SESSION CONTINUITY:**


PIVOT:  -> get claude opus to deliver this first. add real es


PIVOT:  -> worth per month ?  that was the original plan, but


PIVOT:  -> have a functioning deployment agent.. SSH KEY


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


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


PIVOT:  -> have in the platform now, how long it's gonna take


PIVOT:  -> able to achieve if they're not using the right too


PIVOT:  -> build different tiers different Product levels and


PIVOT:  -> need. They're not giving me an option. I can't eve


PIVOT:  -> able to interact using voice like I am now. And if


PIVOT:  -> build the product, the software..? For an ai nativ


PIVOT:  -> I mean, there could be a basic plan that stays pre


PIVOT:  -> said should I verify? My organization in order to


PIVOT:  -> I've actually got, menace to create the, All the U


PIVOT:  -> you and I, on a different chat, have built, a full


PIVOT:  -> needed, what used to take $2m and 1 year to build


PIVOT:  -> be a positive if competitors go ahead and make and


PIVOT:  -> I meant bthis zepto https://zepto.com.au/ sounds g


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


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


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


PIVOT:  -> there's 13 patents that we now have. You might hav


PIVOT:  -> going through the pilot program based upon us, bui


PIVOT:  -> a middle tier, maybe a pro tier. Android $149 a mo


PIVOT:  -> using Claude, Opus to try and start writing code b


PIVOT:  -> deploy Claude's but that was completely unnecessar


PIVOT:  -> Progresia. Thank you.  activate collaborate-max an


PIVOT:  -> came to the idea to employ a Philippine, worker fr


PIVOT:  -> building the very simple multi LLM persistent memo


PIVOT:  -> have Claude sonnet 4. Now you better check your fa


PIVOT:  -> research completed pls analyse. one more.   CREATE


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,


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


PIVOT:  -> the best option for This current platform we're lo


PIVOT:  -> solve this problem ? suggesting basic privacy as l


PIVOT:  -> set up this ACH to, really be A strong Foundation


PIVOT:  -> start building. GITHUB API KEY


PIVOT:  -> gemini has 1M token memory and openai too? so thei


PIVOT:  -> build the commercial platform. but for now, I am d


PIVOT:  -> means we need 1 or 2 or 3 influencer videos and 1,


PIVOT:  -> view main page ui yet? an@DESKTOP-7PKTKV1:~/test-p


PIVOT:  -> deploy multiple armies simultaneously and finish t


PIVOT:  -> we have pivoted to not being a multi-llm platform


PIVOT:  -> not being a multi-llm platform on the frontend but


PIVOT:  -> we gave it exact pricing at $49/mth but it gave us


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


PIVOT:  -> gave me a balanced phase 2 and 3 prompt but oinly


PIVOT:  -> remembers. Your first week is free. - not correct-


PIVOT:  -> called the "**AGENTIC ARMIES MASTER GUIDE"** YOU K


PIVOT:  -> action this now? but also okay to proceed with our


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


something crazy about AI"


PIVOT:  -> understand me, My vision my goals, the outcomes th


PIVOT:  -> understand me, my vision, my goals, the outcomes I


PIVOT:  -> think it may be stuck okay it stopped now


PIVOT:  -> pop. Extract what you can that could help. I want


PIVOT:  -> .com/eu .com/sg .com .com.au 4 regiuons claude cod


PIVOT:  -> only have 8Gb Ram, but previously deployed 21 agen


PIVOT:  -> if we are wrapping them up anyway we could just ha


PIVOT:  -> complete without fail. did you include all our spe


PIVOT:  -> in fact, no AI that we know about iOS offering thi


PIVOT:  -> it doesn't bloody work. So want you to come togeth


PIVOT:  -> make this all possible. So, that I can make sure t


PIVOT:  -> works? And Sorry. We got cut off. I've got bad rec


PIVOT:  -> move forward with with with that if they can't? Yo


PIVOT:  -> am going to, over the next week, update my And and


PIVOT:  -> I've already used Gemma for some deep research on


PIVOT:  -> planning to use replete but then it seemed like Ok


PIVOT:  -> get a of upgrading my Ram and also my memory with


PIVOT:  -> they said least 32 gigabytes. And they said at lea


PIVOT:  -> get as much ram as I can afford and as much as I c


PIVOT:  -> worked fix actually worked


PIVOT:  -> we're not giving a free trial, and, yes, we do nee


PIVOT:  -> solve that question, and I think that we can't get


PIVOT:  -> have regarding the memory that works, open mcp mem


PIVOT:  -> get all these plans acounts directly from within a


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


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


PIVOT:  -> put it in ThisPC>Desktop>AGENT>CLAUDE AGENTIC> kin


PIVOT:  -> its great that it retrieved older pricing strategi


PIVOT:  -> open their inbox? what is the optimal strategy for


PIVOT:  -> getting some of the Cineva features with Hat Baby


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


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


PIVOT:  -> do in response to that, that that the different pr


PIVOT:  -> only $5, Then if you're selling the product for $2


PIVOT:  -> priced that $5 per user accurately. Because if it'


PIVOT:  -> Yeah. We could we could offer it They could choose


PIVOT:  -> remembers. its not good and needs to change to wha


PIVOT:  -> make those fixes Prompt. Fixed prompt for a Claude


PIVOT:  -> action here is I'd like to get the first team up a


PIVOT:  -> I just wanted to clarify that, Claude's role is no


PIVOT:  -> implement whilst it's also achieving, iOS, you kno


PIVOT:  -> could you summarise the key insights from this att


PIVOT:  -> superior than Pinecone for a rapidly scaling, plat


PIVOT:  -> proceed to create database. There's a couple of su


PIVOT:  -> think that because our memory system is so importa


PIVOT:  -> do you have the first 15 claude page variations cr


PIVOT:  -> mean? I'm wondering wondering. Maybe you can enlig


PIVOT:  -> gonna launch with a fully functional product. So t


PIVOT:  -> I'm gonna, download this really cool, podcast that


PIVOT:  -> interact with, Claude Code. Through voice. So, wha


PIVOT:  -> writing code. What do you think about that? Please


PIVOT:  -> what's really getting me actually is only one aspe


PIVOT:  -> remembers End AI amnesia forever Transform your fr


PIVOT:  -> kind of realizing that, there's a lot of really go


PIVOT:  -> limit our growth So for example, the GitHub Copilo


PIVOT:  -> have the memory feature. So how much more is that


PIVOT:  -> remembers At the moment, it's still even after the


PIVOT:  -> didn't it didn't change that yet. So, yeah, all al


PIVOT:  -> ? Do I first need to set up anything else that's c


PIVOT:  -> add my billing information here. What do you think


PIVOT:  -> we don't want the MFA, so what to do? You know wha


PIVOT:  -> think that it's all happening on AWS, actually. So


PIVOT:  -> need to as long as the migration is very easy and


PIVOT:  -> now that I think about it, it was probably mem0 Th


PIVOT:  -> delete protected Okay. That's done. Let's Create a


PIVOT:  -> Pine Cane. Are there any, special pine cone settin


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


PIVOT:  -> I I feel the need to do so anyway. So today, I'm g


PIVOT:  -> working platform verified.


PIVOT:  -> as the influencers have global audiences we should


PIVOT:  -> 0ms with caching), integrated Pinecone vectors wit


PIVOT:  -> which should allow the Agent v 2. To operate. Now


PIVOT:  -> 2 Run through some In conjunction And And that So


PIVOT:  -> please give your response here in the voice chat.


PIVOT:  -> azure instead of using eleven labs. I will get the


PIVOT:  -> got the perfect super simple job for computer use.


PIVOT:  -> remembers conversations and context over time.


PIVOT:  -> Remembers" - a privacy-first AI platform that main


PIVOT:  -> Remembers


PIVOT:  -> got the code this time, then said yes use my api k


PIVOT:  -> executing?Are you currently running 50 agents in p


PIVOT:  -> happening with the deployment:


PIVOT:  -> spawning separate agent processes


PIVOT:  -> works? or could devian at least handle just this j


PIVOT:  -> fixing the problem. add this as a protocol when we


PIVOT:  -> deployed on 157.245.209.212


PIVOT:  -> complete your comrehensive artifact file as it rem


PIVOT:  -> deploy agent armies continuously to build empires


PIVOT:  -> had to physically remove and reinsert the ethernet


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


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


PIVOT:  -> thinking that he missed a couple of steps there. I


PIVOT:  -> do some deep research on what currently exists to


PIVOT:  -> grow and learn in real time continuously, starting


PIVOT:  -> a massive memory foundation for all future AI or s


PIVOT:  -> even bigger than all the enterprise projections so


PIVOT:  -> start to deploy 50 agent armies to build platforms


PIVOT:  -> achieve all of these day by day proposed targets.


PIVOT:  -> build something that has value and meaning. And do


PIVOT:  -> works. deep research on devian, claude compuetr us


PIVOT:  -> running continuously in background


PIVOT:  -> around that top of a system on our Compute Please


PIVOT:  -> You know, Operational technological System So and


PIVOT:  -> retrieve 6 insights that I've had over the last 2


PIVOT:  -> had 2 x 8gb sticks. I bought 3 x 16gb sticks and h


PIVOT:  -> 5 1,000 tools. And what do you recommend, to help


PIVOT:  -> becoming a master of those A lot of, coding tools


PIVOT:  -> thats not true? it only needs 40Gb storage space ?


PIVOT:  -> deploy? I cant see actual agents being created ?


PIVOT:  -> improves relatively over time. One idea is QLoRA,


PIVOT:  -> incorporated all these now into one ? is your gemi


PIVOT:  -> evolve as an ai system, to become a specialised ll


PIVOT:  -> trying to create? what would you call it? is this


PIVOT:  -> replit did build a good frontend so have that. sho


PIVOT:  -> the consumer market is the largest opportunity by


PIVOT:  -> doing this all wrong. if Llama/Aiva is similarly i


PIVOT:  -> I think you were the one who mentioned knowing abo


PIVOT:  -> possible? after consuming massive datasets like st


PIVOT:  -> llama not working- Sorry, I encountered an error.


PIVOT:  -> proposed to be a llama 70B based specialised mcp e


PIVOT:  -> I wasnt achiving much at all, meanwhile used up $8


PIVOT:  -> possible, how long this will take? how many dev ho


PIVOT:  -> do this? openui plus pinecone plus redis plus data


PIVOT:  -> I changed the active worker from 1 to 0 as it was


PIVOT:  -> add direct conections. with the + sign ? could thi


PIVOT:  -> running our proxy.py


PIVOT:  -> add it before saving !!!! its still not in mdeol d


PIVOT:  -> lambda labs once hit 5k users pivot to aws encrypt


PIVOT:  -> works 99% of the time. so we need all of this just


PIVOT:  -> go on. is that because of our translator is is str


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


PIVOT:  -> I wAS ABLE TO PLACE YOUR CODE IN ${{ secret(64) }}


PIVOT:  -> easy to add? not days of debugging? librechat soun


PIVOT:  -> vercel as it has rapid global deployment ? so the


PIVOT:  -> test ? okay I opened private window. I can see my


PIVOT:  -> important as users are used to that. I think someh


PIVOT:  -> model Hunyuan A13B with 256K context window. this


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


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


PIVOT:  -> able to Implements any of the, next steps But I do


PIVOT:  -> happening Therefore, it gives you degree of patien


PIVOT:  -> occurring to give that patient For the years I thi


PIVOT:  -> for some They Memory Retreat Awesome. Is extremely


PIVOT:  -> willing to wait for so we can make these important


PIVOT:  -> listening on the right port


PIVOT:  -> completed comrehensive research as of todays date


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 ?


PIVOT:  -> relies on my local machine being operational does


PIVOT:  -> as this is our global launch plan, no quick fixes


PIVOT:  -> doing the heavy lifting ? mongodb? are we even rel


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


PIVOT:  -> works. That saves me hours and hours of debugging


PIVOT:  -> actually works, that actually can build full stack


PIVOT:  -> need to build a custom Memzeros self hosted contai


PIVOT:  -> with imminent agi timeline this is probably imperi


PIVOT:  -> wait I am confused. is our code forcing us-west-2


PIVOT:  -> have already? is this simple to point elsewhere ?


PIVOT:  -> research a workaround to give full build authority


PIVOT:  -> works now ? for zero bug deployment ? or is it jus


PIVOT:  -> pretty sure there is a plugin section ? **Missing


PIVOT:  -> do anything, it seems?


PIVOT:  -> submit list first for approval. actually have we f


PIVOT:  -> just build a perfect blue stack and then move it t


PIVOT:  -> add the blue stack instructions and revise the ent


PIVOT:  -> doiung this job and what does it cost in computati


PIVOT:  -> deploy enything ? every single time we try to move


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


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


PIVOT:  -> that worked. great !  finished 1 and 2. there syst


PIVOT:  -> think its our fault for not being explicit enough.


PIVOT:  -> all works. Yeah. Tell me, how realistic is this pl


PIVOT:  -> realistic. I really do think that if a LLM had the


PIVOT:  -> change its own weights and become a bit Like a a m


PIVOT:  -> go out and research what tools it needed and grab


PIVOT:  -> realize now that evolutionary learning framework i


PIVOT:  -> improve. And I think that one of the key criteria.


PIVOT:  -> build make it But I think it could be a pretty goo


PIVOT:  -> what I'm talking about, which is is I mean, this i


PIVOT:  -> do that at all. But, what would your be your sugge


PIVOT:  -> deploy bug free one shot builds out of the box. re


PIVOT:  -> get this platform built it will be worth every cen


PIVOT:  -> tested builtr components but assumed they are work


PIVOT:  -> modifies prompts with memory context for eligible


PIVOT:  -> resolved, as attempts to navigate to both endpoint


PIVOT:  -> work without fail and supply a good experience wit


PIVOT:  -> direct pinecone access since I found pay as you go


PIVOT:  -> terraform build ? i thouight you gave it the compl


PIVOT:  -> delete and replace the file into my E drive ?  [+]


PIVOT:  -> from Tencent, but I'm here to assist you. How can


PIVOT:  -> simpler than I initially described - no separate M


PIVOT:  -> tell windsurf to fix package.json. just tell it wh


PIVOT:  -> get windsurf toi  make the changes. give prompt no


PIVOT:  -> windsurf is updating directly into my E Drive depl


PIVOT:  -> difficulty level ? what is dragonfly ? is it just


PIVOT:  -> our plan was to use a bge embedding model on toget


PIVOT:  -> }root@sunaiva-prod-u50607:/opt/redis-memory-servic


PIVOT:  -> it cant see our elestio fixes as it cant access th


PIVOT:  -> redis only plus langchain for enhancements ? focus


PIVOT:  -> dragonfly now. give me researched official  prebui


PIVOT:  -> solves the massive hallucination problem that the


PIVOT:  -> remembers me across sessions. not the right port ?


PIVOT:  -> sending requests to the SUNAIVA service** when you


PIVOT:  -> receiving and why it's still interpreting the resp


PIVOT:  -> receiving and why it still interprets the response


PIVOT:  -> being made to SUNAIVA


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


PIVOT:  -> proceeded to identify 3 revenue streams. Now I wan


PIVOT:  -> the website sales of the, small business snapshot


PIVOT:  -> the higher income potential may be 70, 80% of that


PIVOT:  -> 2 approaches. Either we can Either we can focus on


PIVOT:  -> it's not always the case that it's best to Develop


PIVOT:  -> give us that data. In a much more detailed and, va


PIVOT:  -> loads again now but there is still no reponse from


PIVOT:  -> WORKING correctly now!**


PIVOT:  -> COMPLETE and SUCCESSFUL!** We just needed to under


PIVOT:  -> Claude that service we spoke about earlier that th


PIVOT:  -> really build and get somewhere through that memory


PIVOT:  -> test chat functionality? ** CRITICAL BASELINE CHAR


PIVOT:  -> the first to deploy agents or even agents with mem


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


PIVOT:  -> works? create artifact for this prompt **SUNAIVA P


PIVOT:  -> this superior API proxy approach** and abandon the


PIVOT:  -> i dont think i like the freemium after all. i thin


PIVOT:  -> create a small elestio instance for separate agile


PIVOT:  -> after fb lets setup agents and make me the first c


PIVOT:  -> thinking the opposite. i am reluctant to beleive w


PIVOT:  -> create the skool platform ?


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


PIVOT:  -> we had so much trouble with this model for my suna


PIVOT:  -> enhances what brilliance we already have achieved


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


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


PIVOT:  -> access your N8N instance at automation.agileadapt.


PIVOT:  -> remove all blockages and enable libre sonnet to in


PIVOT:  -> first create a cross session comprehensive context


PIVOT:  -> need the separate server or not ? what is optimal


PIVOT:  -> it's VIBEK writing is not that easy because there


PIVOT:  -> used as a superior approach for building apps and


PIVOT:  -> build apps and platforms. Can you please do some r


PIVOT:  -> Sunaiva. where does hunyuan A13B-Instruct fit into


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


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


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


PIVOT:  -> has Some autonomous abilities that extend beyond j


PIVOT:  -> be able to launch the platform. Now everything the


PIVOT:  -> in the LibreChat container


PIVOT:  -> in the container's config file


PIVOT:  -> add the n8n mcp yet ?  OF


PIVOT:  -> develop ? just tell me now what to give it - mostl


PIVOT:  -> I have given you everything you need or I am about


PIVOT:  -> after a n8n agent and now we have a langchain agen


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


PIVOT:  -> do things. can it master gohighlevel knowledge bas


PIVOT:  -> provides plus my business plan for tiered offering


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'


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


PIVOT:  -> understood maybe the extendly ultimate small busin


PIVOT:  -> true and given lindys supposedly amazing capabilit


PIVOT:  -> think add-ons makes more sense since the snapshots


PIVOT:  -> duplicate it and then create its own snapshot vers


PIVOT:  -> do need to start with a computer use and tool use


PIVOT:  -> access the academy until i realised its repeated f


PIVOT:  -> I have just tasked manus ai with this investigatio


PIVOT:  -> start orchestrating.  i guess I will need a gohigh


PIVOT:  -> build anything. what we did previously was created


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


PIVOT:  -> an mcp-native approach which is a zero code config


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


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


PIVOT:  -> Just discuss the steps required if I decided to us


PIVOT:  -> do all the next steps autonomously. For example, i


PIVOT:  -> Using, 40 concurrent sessions with API calls. Rath


PIVOT:  -> make sense. So investigate these two avenues. Resp


PIVOT:  -> get all of that Linde AI platform knowledge and al


PIVOT:  -> a superior strategy. What do you think? Want you t


PIVOT:  -> a superior strategy. What do you think? Can you ca


PIVOT:  -> already the evolutionary system. I think we've act


PIVOT:  -> want you to research what is included exactly Rese


PIVOT:  -> has Sonnet models or Claude I would like you to ch


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


PIVOT:  -> no additional costs involved. For using those mode


PIVOT:  -> check out is the native LLM that's being offered b


PIVOT:  -> perform as an orchestrator essentially? How many b


PIVOT:  -> is possible with this browser base using 2.0 flash


PIVOT:  -> $72 How do you get to 7 $2 not And is this the Run


PIVOT:  -> In the one Yes, Those Maybe this actually, very wo


PIVOT:  -> watch the active browsers ?


has been stored in the Genesis memory system.


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?


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


PIVOT:  -> a known-good, community-validated Weaviate deploym


PIVOT:  -> Direct, Targeted Research


PIVOT:  -> achived by 2.5 pro gemini cli not the 2.0 browser


PIVOT:  -> does support the case for the gemini cli agent to


PIVOT:  -> consider if this is possible the optimal environme


PIVOT:  -> many tasks requiring this? maybe 50%, maybe only 2


PIVOT:  -> successfully. So you can see that claw desktop doe


PIVOT:  -> Claude Code could have done so. Because isn't it t


PIVOT:  -> use Core Desktop my preference is to use Anthropic


PIVOT:  -> Gemini models, that Claude Code was running. The m


PIVOT:  -> now revert to a clawed desktop, clawed code MCP ba


PIVOT:  -> worthwhile or justified at this point or whether C


PIVOT:  -> run a similar operation in Claude Code where we ha


PIVOT:  -> a cloud code based ecosystem. What would be the st


PIVOT:  -> part of the agi sprint now otherwise my whole effo


PIVOT:  -> platform mastery. lets start with claude desktop o


PIVOT:  -> grab the mcp and use it activate stagehand now you


PIVOT:  -> used it use the browser base mcp tool directly for


PIVOT:  -> you have browserbase mcp active, this mcp is a doo


PIVOT:  -> USE BROWSERBASE MCP: Create real browser session a


PIVOT:  -> STORE KNOWLEDGE IN QDRANT: Store extracted content


PIVOT:  -> DEMONSTRATE CC ↔ CD COORDINATION: Show real data f


PIVOT:  -> thousands of mcps available.. focus on mem0 and me


? 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


PIVOT:  -> having the memory systems. And I believe now that


PIVOT:  -> not really aware of all the things that are out th


PIVOT:  -> a tool to do exactly what we want because 99% of t


PIVOT:  -> I don't I want to do everything with no YAML. I wa


PIVOT:  -> write the files. lets see them for proof. it snot


PIVOT:  -> doing anything but giving examples ? i beleive you


PIVOT:  -> grab the mcp and use it, no simulations but actual


PIVOT:  -> using stagehand I want you to create an artifact f


PIVOT:  -> quite normal at first and usually nothing to worry


PIVOT:  -> show interest in my products?


PIVOT:  -> I will take the business plan as I want to be oper


PIVOT:  -> use it to start knowledge base artifact creation.


PIVOT:  -> i dont really need lindys workflows as we will be


PIVOT:  -> claude desktop now you already have browser base m


PIVOT:  -> start the real work. what do we need? and we can s


PIVOT:  -> its more the initial setup costs thats important,


PIVOT:  -> does so. turn this into artifact ✅ VERIFICATION CO


PIVOT:  -> Maybe API access is enough. What are the benefits


PIVOT:  -> we need to start with dangerous permissions incorr


PIVOT:  -> another mcp desktop thats more enabled and liberat


PIVOT:  -> she didnt reply yet to my email above. maybe gone


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


PIVOT:  -> through a chat interface, through natural language


PIVOT:  -> ready. Like, don't see I'm not sure if we're at th


PIVOT:  -> built this last mile MCP agent into an actual agen


PIVOT:  -> they're not there's still a lot of difficulties in


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


PIVOT:  -> under a different jurisdiction. Which means we're


PIVOT:  -> uphold this sovereign system. You can respond in v


PIVOT:  -> all of Australia, I can't really see much evidence


PIVOT:  -> the case compared to other countries? What is the


PIVOT:  -> work with bubble. Would that make a good Same. 4 M


PIVOT:  -> it already is, if you have $10-$30k or maybe more


PIVOT:  -> supply the landing pages as part of their offering


PIVOT:  -> tell me about the sonnet 4.5 chrome computer use e


PIVOT:  -> necessary. does chrome browser just stop sometimes


PIVOT:  -> you do have memory, to be able to retrieve from ot


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


PIVOT:  -> add that salt that I was referring to or should th


PIVOT:  -> been received into my bank account since 1st July.


PIVOT:  -> received. done. draft it nowe include impossibl;e


PIVOT:  -> be paying off pre jan 2025 invoices ? say from a f


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


PIVOT:  -> doing. I really need you to break down much, much,


PIVOT:  -> is and will be, the need for education ? etc


PIVOT:  -> replace that receptionist with perfectly realistic


PIVOT:  -> setup all the necessary integrations ? which then


PIVOT:  -> very simple then they may feel ripped off ? in my


PIVOT:  -> take bookings ? this is worth something right ?


PIVOT:  -> need zapier for this ? show me the flow. I may not


PIVOT:  -> maybe they would of their resellers as then they g


PIVOT:  -> have worked out by now ? yes begin 1. they have to


PIVOT:  -> reachg a bgreater market share and revenue by offe


PIVOT:  -> have an image that leads to a live web link. but t


PIVOT:  -> becomes a positive as I have then 30 test sites to


PIVOT:  -> am not ineterested in the reseller option, and sup


PIVOT:  -> create the dashboard pretty simply these days with


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.


PIVOT:  -> likely to be needing regular changes to justify co


PIVOT:  -> cost for 1000 calls per day ?


PIVOT:  -> works. its really in their ineterest to giuve me t


PIVOT:  -> varies significantly depending on your pricing, po


PIVOT:  -> think its human its that good. who is the clear wi


PIVOT:  -> verified data that you've collected. And is, that


PIVOT:  -> one of the most capable agents to date. give it a


PIVOT:  -> work for tradies. I think there would be a big sti


PIVOT:  -> do comprehensive research so I can quickly underst


PIVOT:  -> to stay within my budget he reduced it to 10k emai


PIVOT:  -> they also may need a logo, so we will need an ai g


PIVOT:  -> create an account. if they are lazy I can even cre


PIVOT:  -> used the store to order yet what should their text


PIVOT:  -> placed an order. its Monday today and order cutoff


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


PIVOT:  -> more appealing and just use voice agent to answer


PIVOT:  -> why even get them to hang up on first call at all?


we may have been looking for.


PIVOT:  -> engaging 1st same if you try to sell a mortgage th


PIVOT:  -> use that software. So being that is the case, I th


PIVOT:  -> does have voice agents too. I want you to do a rea


PIVOT:  -> GHL ? how complicated could it be to migrate custo


PIVOT:  -> get these ? I know from past experience its real h


PIVOT:  -> build out your capabilities as a working system. t


PIVOT:  -> adds value or if Claude Code CLI is just better st


PIVOT:  -> if I sign in through my max plan thats the best wa


PIVOT:  -> letta will use glm as its brain ? should you do th


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


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


. (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


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


PIVOT:  -> came up with a solution for this and solved one of


PIVOT:  -> released an article on this in which they basicall


PIVOT:  -> trust? The second one is how do we avoid filling o


PIVOT:  -> went ahead and implemented this. Now before we mov


PIVOT:  -> trust. And it's really easy to connect to. You jus


PIVOT:  -> trust. Now, to actually enable our agents to use t


PIVOT:  -> bring into the context window. So, your context wi


PIVOT:  -> call the tool itself, but rather uses the Docker M


PIVOT:  -> uses more tokens. One is the tool definitions in t


PIVOT:  -> returned from MCP tool calls. So all of this detai


PIVOT:  -> filled. (04:11) This is one thing they've improved


PIVOT:  -> the first one to implement this new solution. (04:


PIVOT:  -> run in a sandbox. And since they already provide D


PIVOT:  -> using. (06:05) But with code mode, what happens is


PIVOT:  -> need to use. (06:24) And then we have state persis


PIVOT:  -> sent to the model. A very simple example of this c


PIVOT:  -> saved to the volume and the model only gets to kno


PIVOT:  -> put into my videos. And what I normally do is run


PIVOT:  -> runs multiple queries and that's what I wanted to


PIVOT:  -> run it. It basically gave me 29 unique repos by se


PIVOT:  -> made the GitHub to notion tool that would allow me


PIVOT:  -> want. The model only gets to know the name and the


PIVOT:  -> this is the problem. glm is probably choking up c


PIVOT:  -> cc can spawn paralell sub-agents maybe 10-20? so a


PIVOT:  -> speaking to Claude cloud. Are you telling me that


PIVOT:  -> get done. Towards evolving Genesys. You can respon


PIVOT:  -> is letta memory system vs memory mcp's ? is letta


PIVOT:  -> each page should have that system.


PIVOT:  -> these later on) and then we have what ? whats bett


PIVOT:  -> STAMMER AI CHATBOTS NOW. HERE'S WHY:


PIVOT:  -> was it vast ai or vast data I am referring to the


PIVOT:  -> turned into a concrete executable skill instead of


PIVOT:  -> been integrated and implemented so that a system i


PIVOT:  -> at the highest level of any system.


PIVOT:  -> running? being utilised ? when will Genesis really


PIVOT:  -> still have any value? the patents are provisional


PIVOT:  -> thinking that our priority is not finding new tech


PIVOT:  -> building the system. all that we may benefit from


PIVOT:  -> need the $297 Plan for MCP


PIVOT:  -> consider. probably the best revenue capability sup


PIVOT:  -> cc based approach moreso.


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


PIVOT:  -> get the free trial again, meanwhile, I'd like you


PIVOT:  -> look And then what we can do with that is we can d


PIVOT:  -> $1500/mo for white label. compare vapis azure neur


PIVOT:  -> voiceaiwrapper as synthflow is actually $1500/mo f


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


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


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


PIVOT:  -> airovoice does number 1 better as you see an ai av


PIVOT:  -> need ghl to succeed ? I signed up for 30 day free


PIVOT:  -> getting to my first sale. It's just crazy. Meanwhi


PIVOT:  -> has, a website builder. Okay. Maybe it's not as pe


PIVOT:  -> has with their AI employee, a voice agent it's 97


PIVOT:  -> pushed the button. And they gave me a 50% discount


PIVOT:  -> make this work now. And with the new browser use,


PIVOT:  -> get to launching a product. What do you think abou


PIVOT:  -> just make it even better but so not lose the perfe


PIVOT:  -> understand the full range and application potentia


PIVOT:  -> a hell of a lot that is included in GHL that we ca


PIVOT:  -> triggers the AG native surfaces as you described.


PIVOT:  -> productise this? how will this intention inform ho


PIVOT:  -> place this folder into e drive now-E:\genesis-syst


PIVOT:  -> add to this that gemini is trying to bring the pat


PIVOT:  -> a real ai consultation process whereby through for


PIVOT:  -> our work here i  have been getting the voice agenc


PIVOT:  -> cold sms first campaigns? problem- Day 1: LinkedIn


PIVOT:  -> migrate the registration just yet as most sites ar


PIVOT:  -> seeing since 3 months ago the ai is much more capa


PIVOT:  -> arrived ???? we actually engineered this a couple


PIVOT:  -> read the entire patents and all the related busine


PIVOT:  -> called the voice agent who said Sydney plumvbers h


PIVOT:  -> do shit ! i know thats amazing. while you do that


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


PIVOT:  -> sync my Claude Desktop. In, in real time or even i


PIVOT:  -> know my Genesis system I do hear quite well. You b


PIVOT:  -> quite a good Coding agents. Now, she's, sitting no


PIVOT:  -> need? Would it be What is the optimal optimal ultr