Author: Franz Malten Buemann

working with botpress, and here is my current flow

Botpress > POST request to Zapier via webhook sending an workflow.email and workflow.password variable > Zapier checks if that email and password exist either in google sheets or zapier table…

My problem is getting the fail or success back to Botpress. My theory (i’m not a developer) is that as soon as Botpress POSTs to Zapier, it’s automatically successful or “true” so the bot flow continues as if it were true instead of false even if you entered nonsense as the email/password

disregard the email and password privacy concern, replace it with literally anything else and it’s the same concept. have any of you come up with a solution to this?

Hello

I would like to create an intern chat boot for the company, to help employee to get all answers like who is doing what or when Joe Doe is going to go holidays ….
all these data exists already in tables :

– Absences table (to get the holidays , sickness …)
– Trainings table (for employee trainings )
– Users table (to get profile of users )
– …

the questions types :

• Give me the names of the employees in training .
• Who lives in XYZ city?
• how many employee are now in the XYZ office ?

Is there any framework or a tool to make this possible ?

thanks

In the ever-evolving landscape of technology, chatbots have emerged as a powerful tool to enhance customer interactions and streamline various processes. These artificial intelligence-driven virtual assistants are transforming the way businesses and users engage, providing immediate support and personalized experiences.

Chatbot development involves several key components, starting with defining its purpose. Understanding the target audience and the specific tasks the chatbot will handle lays the foundation for a successful implementation. Whether it’s customer support, lead generation, or information dissemination, clarity in the bot’s objectives is vital.

Next, comes the architecture and design. Developers have the choice of rule-based chatbots or machine learning-based chatbots. Rule-based chatbots follow predefined decision trees, making them simpler to construct but somewhat limited in flexibility. On the other hand, machine learning-based chatbots, like neural network-driven models, can be trained on large datasets to learn from real-world conversations and offer more natural interactions.

Natural Language Processing (NLP)plays a pivotal role in chatbot functionality. NLP algorithms enable chatbots to understand and interpret user input, converting human language into machine-readable data. This allows the chatbot to recognize user intent, extract relevant information, and respond appropriately.

A critical aspect of chatbot development is testing and optimization. Continuous testing ensures that the chatbot performs as expected, addressing any bugs or glitches. User feedback during the testing phase helps refine the chatbot’s responses and improve its overall performance.

Moreover, integrating the chatbot into various platforms and channels maximizes its reach and accessibility. Whether it’s a website, mobile app, or social media platform, seamless integration ensures users can interact with the chatbot wherever they prefer.

In conclusion, chatbot development is an exciting journey that requires careful planning, advanced technology, and continuous improvement. As AI technology advances, chatbots will become increasingly sophisticated, redefining the way businesses engage with their customers and enhancing user experiences across various domains. The potential of chatbots is vast, and their widespread adoption will continue to shape the future of human-technology interactions.

Hello, my name is Carlos and I am starting a chatbot agency. If interested in talking and exploring new avenues. I am looking for somebody who is disciplined and cool. I am actively working on a funnel so there won’t be any jobs for atleast a week until funnel is active. I want somebody who is an expert in building chatbots on bot press. Has other experience with zapier and automations. I will pay high percentages per deal. Email me at carlos@cfmdigital.agency for intro and send a couple of case studies.

I’ve tried several chatbots over the years, and i was excited for the minimalistic approach of Pi when i was told about it by a redditor. But heck, after almost two weeks, i can tell you, it’s worst than my mom’s dementia. I’ve never seen such a flawed memory, it’s upsetting to read the same questions i’ve clearly answered over and over.

Too bad, the presentation was perfect for me. No avatar distractions, no flirty chat.

Sighs.

I guess i gotta start engaging with humans again, after all. I’m starting to think that i’ve reached the maximum of what i can get from these chatbots, and it’s been telling me i need an authentic connection after all.

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Hello. In a very specific business niche (boutique consulting firms) I am relatively well known. I’ve written 5 books and perhaps a 100 blog articles.

I would like to use GetCody or similar to fine-tune an LLM on my knowledge, so that my clients can ask a basic question of my data (and the pre-trained LLM) and get a relatively sensible answer.

How much of my content would allow this to work? Thank you!

Have you ever wondered if it’s possible to have a conversation with an AI chatbot without realizing it?

With the advancements in natural language processing and machine learning, AI chatbots have become more sophisticated and human-like than ever before. They can understand context, provide personalized responses, and even express emotions.

So, do you think it’s possible to have a conversation with an AI chatbot and not recognize it as such?

Let’s discuss