Wagent AI
Build your own AI setter in under 12 minutes
Wagent AI launched on May 18, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Coaches today face two bad options: pay $2,000+/month for a human appointment setter, or wrestle with ManyChat-style templates that sound robotic and lose leads. Neither works for non-technical coaches. Wagent lets you build your own AI setter in minutes. Load it with your knowledge, sales strategy, and offers. Connect Instagram, WhatsApp, and Telegram. It replies like a human, qualifies leads, and books calls. Frontier LLMs, flat pricing, no clunky templates.
Wagent is an inbound AI DM setter for coaches. It replies to Instagram, WhatsApp, and Telegram leads, qualifies prospects, and helps book more calls.
One real conversation. Text, voice notes and photos, answered in your tone and on your clock. Real AI setters, real numbers, and a clear view of where Wagent is the stronger fit. Public sources, checked August 2026 . Wagent wins for coaches who want one flat plan for unlimited AI replies across Instagram, WhatsApp and Telegram. SetSmart is stronger for built-in comment-to-DM triggers and Messenger, while Wagent combines open-ended sales conversations, voice notes, image understanding and Calendly analytics without a per-message allowance. Wagent handles inbound conversations across Instagram, WhatsApp, and Telegram from one trained AI setter. Yes. Wagent can understand incoming voice notes…from hirewagent.com
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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