@imcrazysteven profile picture
steven leal @imcrazysteven

Sr. software engineer imcrazysteven.vercel.app

Joined November 2024
  • Tweets 46
  • Following 959
  • Followers 145
Photos and videos
Use case for Automation with AI voice agents (5): Live Notifications: Send Slack alerts or calendar invites when a call is transferred to a human agent or a lead expresses interest.
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Use case for Automation with AI voice agents (4): Email/SMS Follow-Up: Send automated emails or text messages after calls to continue the conversation or confirm information.
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Use case for Automation with AI voice agents (3): CRM Syncing: Automatically update or create contact records based on call outcomes, including interest level, voicemail detection, or transfer status.
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Using automation with AI voice agents(2): Make.com and N8N orchestrate when your voice agents contact customers. Use cases include inbound Call Handling: Log call metadata received via webhook (e.g., from Retell) into a database or CRM for analysis or follow-up.

AI Workflow Automation Software & Tools

Automate your work. Make allows you to visually build, scale and automate AI and agentic workflows. User friendly no-code integration tool. Try it now for free!

make.com
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Using automation with AI voice agents(1): Make.com and N8N orchestrate when your voice agents contact customers. Use cases include outbound call campaigns that pull lead data from Google Sheets or a CRM and trigger calls via AI platforms like Retell, VAPI, or Bland

AI Workflow Automation Software & Tools

Automate your work. Make allows you to visually build, scale and automate AI and agentic workflows. User friendly no-code integration tool. Try it now for free!

make.com
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Microservices allow a large application to be separated into smaller independent parts, with each part having its own realm of responsibility. To serve a single user request, a microservices-based application can call on many internal microservices to compose its response.
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Microservices allow a large application to be separated into smaller independent parts, with each part having its own realm of responsibility. To serve a single user request, a microservices-based application can call on many internal microservices to compose its response.
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I am happy to share a cryto trading analyze telegram bot to analyze tokens & wallets, monitor wallets, and uncover profitable opportunities with advanced analytics and real-time insights. github.com/imcrazysteven/Cry…
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Top 5 Multi-Agent AI Frameworks - 1. Agno - 2. OpenAI Swarm - 3. CrewAI - 4. Autogen - 5. LangGraph
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I am happy to say I won the weekly award last week in Hamie game. I kinda gotta crazy while grinding, so that's why I got crazy steven
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I am happy to share a pump.fun volume bot which has advanced trading strategies using multiple distributed wallets to create trading volume and execute buy/sell operations with configurable intervals and percentages. github.com/imcrazysteven/Pum…
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I am happy to share a sophisticated Pump.fun Copy Trading Bot for the Solana blockchain that revolutionizes automated trading through intelligent strategy replication and real-time market analysis. github.com/imcrazysteven/Sol…
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RAG is best for precise information retrieval and content generation. AI agents shine in autonomous workflows and decision-making. MCP strengthens both by ensuring smooth and standardized data interaction.
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The Model Context Protocol (MCP) acts as a bridge, standardizing how AI models interact with external data sources. It enhances interoperability and efficiency, ensuring AI systems can access real-time data, APIs, and knowledge bases seamlessly.
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AI agents focus on autonomous task execution. Instead of retrieving and generating responses, they analyze inputs, make decisions, and perform actions. These systems excel in automation, workflow optimization, and interactive AI apps where minimal human intervention is required.
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Retrieval-Augmented Generation (RAG) systems improve AI responses by integrating real-time data retrieval. Unlike traditional models that rely solely on pre-trained knowledge, RAG fetches relevant external data before generating responses.
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RAG, AI agents, and MCP each serve different roles in AI. Grasping their differences helps you choose the best approach for your specific app and goal.
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GMGN API Simple way to get native token price for eth, base, bsc, sol, tron: gmgn.ai/api/v1/gas_price/{chain} chain parameter can be eth, base, bsc, sol, tron. i.e., gmgn.ai/api/v1/gas_price/eth #gmgn

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GMGN API I am happy to share useful gmgn API and its implementation: dev.to/stevendev0822/discove… #gmgn #api
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Crypto Trading Strategies 1. Understand Market Trends Spot bullish & bearish trends with moving averages, price patterns, and indicators. Use news to time entries & exits. Charts reveal market direction—learn to read them. #Trading #DeFi
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