Emergent's Wingman AI agent tackles routine tasks through WhatsApp and Telegram messaging

Emergent Expands Beyond Vibe-Coding Into AI Agent Territory

Emergent, the Indian startup that attracted over eight million builders to its vibe-coding platform, has launched Wingman, a messaging-first AI agent designed to automate routine tasks across everyday tools and workflows 1

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. The Bengaluru-based company, backed by SoftBank and Khosla Ventures, is pushing into the autonomous AI agent space popularized by tools like OpenClaw and Claude from Anthropic 1

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Founded in 2025, the vibe-coding startup raised $70 million in January at a $300 million valuation and announced in February that it had hit $100 million in annualized revenue run rate within just eight months of operation 3

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. With more than 1.5 million monthly active users already building full-stack applications through natural-language prompts, Emergent now aims to help these users operate more autonomously through software 1

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Wingman Operates as a Personal AI Agent Within Chat Interfaces

Wingman functions as a personal AI agent embedded directly into messaging platforms such as WhatsApp, Telegram, and Apple's iMessage, allowing users to assign and monitor tasks through familiar chat interfaces 1

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. The autonomous AI agent runs continuously in the background, connecting to tools people already use—Gmail, Outlook, Google Calendar, Slack, and GitHub—without requiring developer setup or technical knowledge 2

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"Most people aren't failing at productivity. They're buried under the smaller tasks that never stop coming," said Mukund Jha, co-founder and CEO of Emergent 2

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. The agent activates on schedules and when messages or emails arrive, enabling it to manage everyday tasks like scheduling, catching up on to-do lists, booking flights, and preparing for meetings without constant human prompting 2

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Jha explained that the decision to build Wingman inside messaging platforms reflected how work actually happens: "A lot of real work already happens through chat, voice, and email -- asking for something, following up, sharing context, making a decision. Increasingly, they'll be the main ways we work with agents too" 1

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Trust Boundaries Address Concerns Around User Confirmation for Actions

Emergent differentiates Wingman through what it calls "trust boundaries," a feature designed to address concerns around fully autonomous systems 1

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. While low-stakes tasks execute automatically, the agent seeks user confirmation for consequential actions such as sending messages to large groups or modifying important data 3

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This approach creates "a clear line between what it does on its own and what it checks with users first," positioning Wingman as a safe companion that operates with appropriate oversight 3

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. The agent also retains contextual memory over time, learning user preferences and building complex routines to reduce repetitive inputs 3

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. Users can fine-tune tone and personality to match their preferences 2

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Agentic AI Systems Become Key Battleground for Productivity and Automation

The launch positions Emergent within a rapidly expanding category of agentic AI systems, as companies explore tools that can independently manage workflows rather than simply respond to prompts 3

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. Wingman will compete with tools like OpenClaw, Nanobot, and agent-based systems from Anthropic and Microsoft 1

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Users can deploy multiple agents simultaneously for functions such as scheduling, social media management, sales support, research, and hiring 3

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. The agent integrates with services through normal sign-in processes, with additional integrations available via a simple marketplace 2

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Jha acknowledged current limitations, noting that the system struggles "around consistency in really ambiguous situations, messy edge cases, unclear goals, or workflows where a lot of human judgment is needed" 1

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. Wingman is being rolled out with a limited free trial, after which access will be paid, with existing Emergent users able to use the agent through their accounts 1

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