Seddle: Agents for Audience Engagement

Create, simulate, and deploy agents in minutes - no coding.

4 followers

Create, simulate, and deploy agents in minutes - no coding.

4 followers

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AI Agents

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No-Code AI Agent Builder

Seddle is a no-code platform for deploying brand-aligned AI agents that engage your audience. Define your agent's tone, guardrails, knowledge base, and more. Seddle handles orchestration, vector search, safety, and synthesis. Simulate with synthetic personas before going live. Embed on your website, share via link, or gate with authentication. Get structured insights in hours, not weeks. Built by a former AWS architects, veteran-owned. Free to start, create your first agent in under 10 minutes!

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Launch tags:SaaS•Artificial Intelligence•No-Code

Launch Team / Built With

Viktor.comAn AI coworker that actually does the work

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Maker

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Hey Product Hunt 👋 I'm Dustin, founder and engineer behind Seddle. Before this, I was a Solutions Architect at AWS helping enterprises build on cloud infrastructure. Before that, I served in the U.S. military. Both experiences taught me the same thing: complex problems need simple, reliable solutions. Here's what got me building: McKinsey's latest State of AI report in November '25 shows 88% of organizations are now experimenting AI, but adoption doesn't mean deployment. Most teams are still stuck in experimentation, with only 6% reporting more than 5% EBIT impact... one of the biggest barriers to production deployment? Still technical complexity. Meanwhile, Anthropic's recent study on agent tool usage revealed that nearly 50% of all AI agent tool calls are concentrated in a single category: software engineering and writing code. That leaves dozens of practical verticals barely touched. We think there are many more valuable use cases for AI agents beyond coding and making developers more productive. Product feedback. Employee engagement. Customer Q&A. Community management. Event engagement. Research at scale. The list goes on. A lot of the agent tools being built right now are built by developers, for developers. That's great, but it leaves out the vast majority of non-technical teams who could benefit from agents but don't have the technical expertise to build and deploy them. We wanted to build a new primitive that allowed non-tech teams and SMBs to take advantage of Agents, without having to learn about tokens, LLMs, vector embeddings, guardrails, model selection, authentication, and more. So, we built Seddle. Seddle takes a different approach. We're laser-focused on one vertical: engaging human audiences in a better way using AI agents. And we're doing it with a no-code platform that lets anyone (product managers, HR leaders, researchers, community managers, event managers) create contextually-aware, brand-aligned AI agents in minutes, without becoming an AI expert or writing a single line of code. Seddle works across three phases: Create, Simulate, Engage. Create: Using the agent builder, define things like tone, languages, guardrails, knowledge base, branding, tools, accessibility settings, and more. Seddle handles the complex infrastructure: LLM integration, vector search, RAG, security, and deployment. Simulate: Stress-test your agent against synthetic audience profiles before going live. Validate conversation quality, identify knowledge gaps, and pressure-test guardrails. Review simulation reports to catch issues before participants join, not after, so every live interaction meets your standards. Engage: Participants join a branded interface (shareable URL, QR, Embed Widget) and engage with your AI agent through personalized, asynchronous conversations. Seddle monitors interactions in real time, surfaces key themes, sentiment trends, and standout quotes, and generates brandable PDF reports with actionable recommendations. We did a soft launch on April 1st and are exhibiting next week at Startup Grind Conference in Redwood City. So far we've talked to 25+ early adopters who are directly influencing our roadmap and what we build next. We started building in early January and have a ton of exciting features on the roadmap, all public on our website. We're also building in public. Check out our engineering blog on our website to see how we built the architecture from scratch, 100% on AWS as an AWS Activate startup. Everything from the Bedrock integration and DynamoDB data layer to our simulation engine and observability stack is documented there. I'd love your feedback... what would you use an AI agent like this for, and what should we build next? Happy to answer any questions about the product, the architecture, or provide some Premium vouchers to your team to test the full experience as an early adopter :) Happy building, Dustin

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4mo ago

Congrats on the launch Dustin. Big +1 on the "agents beyond coding" thesis, I'm building TalkBuildr in a pretty similar lane (chatbots that agencies build once, embed on client sites, resell as a service) so I see the same gap with non-tech teams every day. How are you thinking about multi-tenant ownership, do agencies/SMBs share one workspace, or is each agent a tenant? That's the pricing question I keep going back and forth on.

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4mo ago

Maker

@cuygun thanks! Across all 3 tiers we meter on compute (AI interactions with the agent) + storage (your knowledge base). So, users can create as many agents as they want regardless of their tier.

On premium, users get a “Workspace” which allows for up to 25 users logging into the same workspace/tenant, with consolidated billing. This enables things like a shared knowledge base, guardrails, branding, etc.

We are seeing success with this model already, where users just have to monitor compute + storage and upgrade any time. We also allow users to set limits on AI interactions per agent to control cost, and enable overages on premium for handling burst or high traffic scenarios.

Happy to meet some time and talk more, good luck with your project as well. I’ll check it out when I’m back from Startup Grind 💪

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4mo ago

@hi_its_dustin Makes sense, metering compute + storage with workspaces gated to premium is clean. We landed somewhere similar but per-agent rather than per-workspace, mostly because agencies want to white-label each chatbot separately for their clients. Enjoy Startup Grind!

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4mo ago

Forum Threads

p/seddle-agents-for-audience-engagement

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4mo ago

What would you use an AI agent for (that isn't writing code)?

Anthropic's data shows ~50% of all AI agent tool calls are for one thing: software engineering. But there are so many other use cases barely being explored: product feedback, employee engagement, customer Q&A, compliance evidence collection, event management, research. We built Seddle for exactly these sort of use cases... a new primitive to easily create contextually-aware, brand-aligned agents capable of engaging a human audience. Version 1 is shipped, and we are just getting started.

Question to kickoff the thread: if you could deploy an AI agent for your team or business tomorrow (no coding required), what would you point it at first, and what are the biggest pain points this could help solve?

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