Author: taskagi-blog
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Vapi Voice AI Integration: Build Phone-Powered AI Agents in TaskAGI
TaskAGI now integrates with Vapi Voice AI, letting you build AI agents that make and receive phone calls with natural voice conversations. No more text-only workflows—your agents can now handle real phone interactions, complete with transcripts, summaries, and intelligent call analysis. If you’ve been limited to chatbots and email automations, this changes what’s possible. You…
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Postiz + TaskAGI: Build AI agents that can automatically post to social media platforms
Featured Snippet Answer: TaskAGI’s new Postiz integration lets you build AI-powered workflows that automatically post to multiple social media platforms simultaneously. Connect Postiz to your TaskAGI agent, and trigger posts from any workflow event—when content is published, when a customer action occurs, or on a schedule. No more manual cross-posting. TaskAGI Now Automates Social Media…
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New feature: On canvas documentation for your AI agent workflows
TaskAGI now lets you add documentation directly on your workflow canvas with Workflow Notes—a new feature that turns your automation builder into a collaborative workspace where you can explain what each section does, mark TODOs, and keep setup instructions right where you need them. If you’ve ever built a complex workflow, stepped away for a…
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AI Workflow Assistant – Intelligent chatbot for workflow builder
Building automation workflows and AI agents can be frustrating. You’re connecting nodes, configuring integrations, and trying to remember what each piece does and how it all fits together. One misconfiguration tanks the whole workflow. You’re left debugging in the dark, unsure where things went wrong. We’ve added an AI Workflow Assistant directly into TaskAGI’s workflow…
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TaskAGI AI Agents: Autonomous Workflows That Actually Work
TaskAGI now lets your AI agents autonomously decide which integrations to use and when to use them. Instead of building rigid workflows where every step is predetermined, you can create agents that think through problems, call the tools they need, and iterate until they find the answer. It’s the difference between following a script and…
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Build AI Agents by Chatting: No Code Required
TaskAGI now lets you build AI agents by simply describing what you want to automate in chat. Instead of manually connecting nodes, you tell the platform what you need, and it creates the workflow for you. This cuts agent creation time from hours to minutes, whether you’re setting up customer support bots, data pipelines, or…
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Build Advanced AI Agents with Claude Opus 4.5 on TaskAGI
TaskAGI now supports Claude Opus 4.5, Anthropic’s most capable reasoning model. This means you can build AI agents that handle genuinely complex tasks—multi-step analysis, nuanced decision-making, vision processing, and reasoning-heavy workflows—all within TaskAGI’s visual builder. No model switching. No API juggling. Just more powerful agents, faster. What Claude Opus 4.5 Brings to Your AI Agents…
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Node Execution Output Viewer: See What Your AI Agents Actually Produced
TaskAGI now shows you exactly what each node in your workflow produced—in the format that makes sense for your use case. No more digging through logs or guessing what happened. Click a node, see its output in Pretty Text, JSON, or Raw format, and copy it instantly. The new Output viewer in TaskAGI lets you…
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Workflow Execution Results to 100K Characters—5x More Data Retention
If you’ve built workflows that process large blocks of text—scraping content, generating documents, pulling API responses, or working with LLM outputs—you’ve probably hit this wall: your execution results get cut off. TaskAGI now stores 5 times more data in workflow execution results before truncation kicks in, jumping from 20,000 to 100,000 characters. That means less…