Morning, Can anyone comment on why the GPT i have made is not keeping all my chats on one conversation? Also anyone know when they will give access to the memory function as I don’t seem to have it on my paid account.

I asked the following question about the new memory feature and if it works with custom GPT's If i use a custom gpt, will the information I gather there be added to your memory ChatGPT No, any information you gather or manage using your own custom GPT model will not automatically be added to my memory here. Each instance of a GPT model, whether it's custom or not, operates independently. This means that the data managed by your custom GPT model stays within the environment you control and does not interact with or transfer to other models unless you explicitly design and implement such an integration. For my memory feature, I can remember information across our conversations based on what you share directly with me. This memory is managed separately from any other systems or models you might be using. So, if you have specific information in your custom GPT model that you'd like me to remember, you would need to tell me that information directly during our interactions.

After being unemployed for the past 16 months, I decided to take a big step and start my own Chatbot Agency using Fastbots.ai Agency by @Jason West. I am super excited and thank you @Jason West for providing an amazing platform to do this! I am excited, nervous and anxious to get started!!

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Title: Ditch the Vendor Mindset: How Partnership Leads to B2B AI Success For B2B AI startups, getting stuck in a vendor mindset is one of the biggest pitfalls that can stunt growth and client relationships. Too many founders make the mistake of treating clients like customers to be serviced, rather than partners to be collaborated with. This transactional, order-taker dynamic commoditizes your AI solutions and creates an adversarial divide. Instead, embracing a true partnership mentality is what separates struggling vendors from thriving AI companies. I learned this lesson first-hand when building my B2B AI ventures. Early on, I made it a habit to begin every client engagement by asking: "How can I be of service?" This simple question reframes the relationship from the start. Instead of a one-way street where the client dictates requirements, it opens up a two-way conversation. You're signaling that you want to first understand their underlying challenges, processes, and goals for AI implementation. From that mutual discovery, you can then dynamically co-create solutions together, blending your AI expertise with their deep organizational knowledge. The client feels invested since they helped mold the approach, not just checked boxes on an order form. You can intimately tailor the AI systems to their unique needs, maximizing ROI and product-market fit. Fostering this partnership mindset requires an open mindset and skilled client management on your part. You have to be an engaged listener, ask probing questions, digest complex context, and nimbly adapt as the project takes shape through collaboration. It's more high-touch than rigid requirements gathering. But that's precisely what earns you credibility as a trusted partner, not an expendable vendor. The benefits ofClient-Partner Nirvana go beyond just a smooth implementation. By co-developing AI solutions through deep partnership, you create stickier relationships, fuller enablement, and stronger trust. The client sees you as a knowledgeable peer vested in their sustained success, not a replaceable outsourced commodity. This lays the groundwork for a long-term, fruitful relationship of follow-on projects, referrals, case studies, and other revenue-generating opportunities.