Building AI Agents to help startups set more meetings & close more deals. Created by @tenzin_rose and @iamAliAgha.

USA
Joined March 2023
I'm tired of spending so much time sifting through LinkedIn, Zoom, and Apollo to build contact lists. Let's develop an AI to handle this task at a larger scale!🔥
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Replying to @AssemblyAI
@AssemblyAI + @TryTaliAI = crazy delicious? What's better then hitting Assembly's API's for pitch perfect transcriptions? Getting an AI to help you do it in half the time. Query / debug / problem solve (without having to wait) @SmithaKolan @mattmakai @jzzaghloul
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Thanks to @AssemblyAI for the easy to ingest docs! Let us know your thoughts.
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Picture this: @ngrokHQ docs powered by @TryTaliAI! Check out our demo - we've ingested all the Ngrok docs for a streamlined developer experience!
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Github repo: github.com/niznet89/augment_… We’re working on augmenting Developer support at @trytali and are investigating how to best apply Agents to solve this problem. If you’d like to learn more shoot us a DM.
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We were lucky enough to win the @llama_index bounty and want to thank @jerryjliu0 @richardblythman @augmenthack for the opportunity!
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... - “Build it’s house” of knowledge and ask more pointed questions to fill in the gaps & develop a robust answer - If it didn’t have an answer, escalate to a human. If it did, answer directly
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...one tool, that should inform how the next tool is used.
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Learnings: - Agents are very useful, but not taking our jobs (yet). We’ll be working further to optimize the workflow & tools - In order to be useful, agents need to aggregate information based on the results of each tool used. If partial information can be learned from...
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... - If it answered, a Zendesk ticket would be setup marking the ticket as answered - If it couldn’t answer, a ticket would be setup assigning it to a human.
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For demo purposes, we included: - A user could email an email address which hit the bot’s endpoint - The bot went through a multi-step process where it iteratively tried tools to get enough information to answer ...
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...the foundation of “knowledge” about the problem for the bot - Reason through the query + available info and determine what other data it needed - Leverage it’s tool set (Searching the web, Discord convo’s or Documentation) to get more information
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Our goal was to mimic how a human would approach the problem: 1. Try to answer based on their own knowledge 2. If they can’t, do a web search to fill in the gaps 3. See if it or a similar question had been answered by the community 4. If they're still stumped, escalate
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We leveraged the ReAct Agent framework within @llama_index to create an Orchestrator model that: - Ingested Documentation & Discord convo’s to embed and do a vector search via @activeloop - Rerank the most relevant documents via @cohere on the initial query. This set...
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Autonomous Agents: Are they destined to seize all Support Jobs? 🤖 This is the question we aimed to answer at the @augment hackathon where we built an Autonomous Support bot leveraging @llama_index. Demo: youtu.be/Qw0y2ijto3A Overview / learnings / code below 👇
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What if your docs could speak? Tali, our intelligent AI-powered bot, gives them a voice. Instant answers, relevant insights, all from your existing resources. Think of it as a #devrel superhero. Request access to Tali today at tryTali.com #TaliAI
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Introducing @TryTaliAI🚀. Tali revolutionizes developer support, instantly answering deep technical questions by analyzing your project's docs, code, Discord, YouTube videos & more. Say goodbye to endless waiting for answers!
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For projects and companies, Tali serves as the 1st line of defense, managing the influx of developer queries by providing quick, context-aware solutions. It acts as another member of your team, saving time and resources.
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Ready to supercharge your developer support? Head over to trytali.com and request access to Tali today!
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