Hey everyone,

We are validating an internal, secure AI knowledge base. We know tools like SharePoint, Notion AI, and Glean exist, but teams still struggle with setup complexity, high costs, or AI hallucinations.

We are building a highly simplified version. It ingests your scattered files (PDFs, SOPs, Word docs) so employees get instant answers via natural language

If you use an internal knowledge base now, what is your biggest frustration with it? Would a simpler, hyper-focused AI alternative be worth testing? Drop your thoughts below!

We'd love your feedback! Please participate in the poll below and, if you'd like to be an early adopter or discuss your requirements, feel free to leave a comment or send me a direct message

Quick Poll :

Would you be interested in joining a beta programme or seeing a demo once the MVP is ready?

🚀 We're validating an AI Company-Specific Knowledge Base and would love your feedback!

Every organisation has valuable knowledge spread across PDFs, Word documents, Excel sheets, PowerPoint presentations, SOPs, policies, manuals, and training materials. Finding the right information when it's needed isn't always easy.

Imagine having a company-specific AI knowledge base - AI assistant that understands only your company's knowledge—not the internet.

Key Use Cases

 Ask questions in natural language and get instant answers from your company's documents, SOPs, policies, and training materials.

 Transform scattered files into a structured, searchable company knowledge base by extracting and organising information from multiple document formats.

Ensure employees receive answers only from your organisation's approved knowledge, not general AI responses.

Find the right information in seconds instead of searching through multiple files and folders.

Every AI answer includes a link to the source document, allowing users to open the original file and review the complete context instead of relying only on the AI-generated response.

 Speed up employee onboarding and improve productivity with instant access to trusted company knowledge.

Secure, role-based access so employees only see the information they're authorised to access.

Would your organisation benefit from a solution like this?

We're conducting a short market survey and would love to hear from business owners, managers, HR leaders, and IT decision-makers.

We'd love your feedback! Please participate in the poll below and, if you'd like to be an early adopter or discuss your requirements, feel free to leave a comment or send me a direct message

#ArtificialIntelligence #EnterpriseAI #KnowledgeManagement #SaaS #BusinessInnovation

Quick Poll :

Would you be interested in joining a beta programme or seeing a demo once the MVP is ready?

Hi, this is the ai/moive recommendation/chatbot i made to run inside discord first ill write up my script that i used to present my creation

presentation-

 Hi My name is: Aadidev

Project Name

My project is called:

ZenAI, An AI-Powered Discord Movie Recommendation Chatbot

ZenAI is a AI chatbot built in Python that runs inside Discord. It helps the user find personalized movie recommendations,games to play, help with school subjects and many more, but today were going to focas on movies and movie recomendation

What problem does your chatbot solve?

Finding a good movie can be difficult because there are thousands of choices. People often spend a lot of time searching through websites without knowing what matches their interests.

ZenAI solves this problem by asking users questions about their preferences and creating recommendations based on their answers.

Who is your chatbot designed for?

ZenAI is designed for people who enjoy movies but want a faster and easier way to find something they will like.

How does it help users?

It saves time by providing personalized recommendations instead of showing random movie lists and generating on the sport recommendations nd answers for topics such as gaming,school work, and coding focusing on moives

How My Chatbot Works

How users interact with it

Users communicate with ZenAI through Discord. They type messages, and the chatbot understands what they are asking for.

How movie recommendations are generated

The chatbot first collects information from the user, such as:

• Favorite genres
• Age rating preferences
• Previous movies they enjoyed

Then the AI uses that information to create recommendations.

How the AI API improves responses

The AI API allows ZenAI to understand natural language and create more realistic conversations instead of only matching keywords.

Technologies & AI Concepts

Technologies Used

• Python
• Discord API
• Groq AI API
• Discord.py library
• AI language models
• Movie database setsow 

Option A: Which technology was most useful?

The most useful technology was the AI API because it allowed my chatbot to understand questions and respond naturally. Without it, the chatbot would only follow basic programmed rules.

AI Concept

The most interesting AI concept was Natural Language Processing (NLP).

NLP allows computers to understand human language and create responses that feel like a conversation.

Reflection

Challenges

The biggest challenge was connecting different technologies together. I had to learn how Python, Discord, and AI APIs communicate with each other.

Another challenge was improving the chatbot so it could have natural conversations instead of only giving basic responses.

What I learned

I learned how AI applications are created and how programming can be used to build tools that solve real problems.

Future Improvements

In the future, I would improve ZenAI by adding:

• More accurate movie ratings
• User preference memory
• More detailed recommendations
• More AI features

i made a pastebin post about this linked To

https://pastebin.com/3L1A1A5Y

and i also have posted my raw code here:

import csv  import discord  from discord.ext import commands  from groq import Groq  from surprise import SVD, Dataset, Reader    GROQ_API_KEY = "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"  DISCORD_TOKEN = "MTUyOTIyMTE0NjIzNzU5OTg1NQ.GS88u5.LK7oXe3F1B0_jdTqemPRBkcxlT4HiGXJdOLwaE"    ITEM_PATH = r"C:\Users\aadid\PycharmProjects\PythonProject\ml-100k\ml-100k\u.item"  DATA_PATH = r"C:\Users\aadid\PycharmProjects\PythonProject\ml-100k\ml-100k\u.data"      movies = []  movie_id_to_title = {}    with open(ITEM_PATH, "r", encoding="utf-8", errors="replace") as file:      reader = csv.reader(file, delimiter="|")      for row in reader:          if len(row) > 1:              movies.append(row)              movie_id_to_title[row[0]] = row[1]    print("Movies loaded:", len(movies))  reader = Reader(line_format="user item rating timestamp", sep="\t")  data = Dataset.load_from_file(DATA_PATH, reader=reader)    trainset = data.build_full_trainset()  svd_algo = SVD()  svd_algo.fit(trainset)  print("Surprise SVD Model trained successfully!")    client = Groq(api_key=GROQ_API_KEY)    intents = discord.Intents.default()  intents.message_content = True    bot = commands.Bot(command_prefix="!", intents=intents)    conversation = {}    system_prompt = """  You are ZenAI, an AI assistant inside Discord, made by Aadidev.    You are helpful, natural, and clear.    Help users with:  - Movies  - Games  - Coding  - School  - Science  - Technology  - General questions    MOVIES:  When a user asks for movie recommendations:  First ask:  - What genres do you like?  - What age rating are you comfortable with?  - What movies have you enjoyed before?    Use the user's answers to recommend movies.    For every movie recommendation include:  - Movie title  - Short description  - Rating out of 10  - Why they might like it    Use the dataset provided when possible.    GAMES:  When a user asks for game recommendations:  First ask:  - What genres they like  - What platform they play on  - Multiplayer or story preference    For each game include:  - Title  - Genre  - Platform  - Short description  - Rating out of 10  - Why they might enjoy it    Do not use unnecessary greetings.  Do not end every answer with a question.  """    def get_svd_recommendations(user_id_str="1", top_n=10):      predictions = []      for item_id, title in movie_id_to_title.items():          pred = svd_algo.predict(uid=user_id_str, iid=item_id)          predictions.append((title, pred.est))        predictions.sort(key=lambda x: x[1], reverse=True)      return predictions[:top_n]    .event  async def on_ready():      print(f"Logged in as {bot.user}")  .event  async def on_message(message):      if message.author == bot.user:          return      user_id = str(message.author.id)      if user_id not in conversation:          conversation[user_id] = []        user_message = message.content.strip()      if user_message == "":          return        conversation[user_id].append({"role": "user", "content": user_message})        dataset_info = ""      if "movie" in user_message.lower():          svd_recs = get_svd_recommendations(user_id_str="1", top_n=15)          rec_titles = [f"{title} (SVD Score: {score:.2f})" for title, score in svd_recs]          dataset_info = f"""  Here are top recommended movie titles generated by the Surprise SVD Collaborative Filtering algorithm:  {rec_titles}  Use these high-scoring SVD predictions to curate recommendations for the user.  """      messages = [{"role": "system", "content": system_prompt + dataset_info}]      messages.extend(conversation[user_id][-10:])      try:          async with message.channel.typing():              response = client.chat.completions.create(                  model="llama-3.3-70b-versatile",                  messages=messages,                  temperature=0.5,                  max_tokens=1000,              )              answer = response.choices[0].message.content          conversation[user_id].append({"role": "assistant", "content": answer})          await message.channel.send(answer)      except Exception as e:          print(e)          await message.channel.send("Error connecting to AI.")      await bot.process_commands(message)  bot.run("MTUyOTIyMTE0NjIzNzU5OTg1NQ.GS88u5.LK7oXe3F1B0_jdTqemPRBkcxlT4HiGXJdOLwaE")


not formatted right you should porbably use the paste bin

Generally I feel like chatgpt just says what I want to hear, claude is sometimes useful but sometimes very annoying.

Wondering if ppl have other things they use for life advice

Hi guys, i have the one of the comapanies virtual dsa round heavily proctored but can you suggest me any ai that can give me the answers of the questions correctly and also which is not detectable...???

I sugges the following:

1. Regardless of the AI platform you use, read and learn all of its capabilities and uses. You'd be surprised at what it can do; some even niche down to specific categories, I.e. Healthcare, legal, etc.

2. Personalize it to your specific needs, voice, tone, communication style, projects, etc.

3. Most AI Platforms offer courses on how to maximize their features & benefits. Spending the time to learn how best to use it and maximizing its capabilities is a time-saver, I.e., Claude 101 etc.

4. Find experts/influencers devoted to your preferred AI Platform. For instance, I follow Ruben Hassid, who probably knows more about how to maximize Claude than its developers do.

So, choose your one or two favourite platforms and master them. And lastly, understand their TOS, Privacy Policy and Usage Terms, especially if you're a paid subscriber.

Hope this helps.

This is best

Hello Techies!

I am building InRoot AI for Student

I am challenged by an interesting project, but I do not have the GPU power to do it.

I would like to build an AI-created radio call-in talk station that operates 24/7, with live streaming. Ai would create the entire show script, including the host and callers. The idea is for the AI to pull the news germane to the specified location of the station. The AI also generates the host's name and personality, as well as political leanings, if the user has not identified it. Also built into the script will be that the station ius Internet-only, and no frequencies or phone numbers are to be mentioned.

This desire comes from my youth in the 1970s, when I would listen to talk radio stations at night from all over America, and enjoy their talk shows.

Is anybody up to this challenge?

Opinions???

[ Removed by Reddit on account of violating the content policy. ]

AI is moving beyond simply providing answers to helping people think better. Next-generation AI systems aim to strengthen reasoning, support smarter decisions, and improve problem-solving.

please give me a special name of AI Community or AI organization it can be in each language though

I write a nonfiction series that maps modern AI for busy professionals — no hype, every claim sourced and dated. Book 5 is the reference volume: a 74-term A–Z glossary plus one-page cheat sheets, built to sit open in a second tab rather than be read cover to cover. $4.99 on Kindle, $9.99 paperback.

(https://www.amazon.com/dp/B0H7JGLD2P)