Seddle: Agents for Audience Engagement

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

SaaS

Artificial Intelligence

No-Code

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