DuckieAI agents that automate customer support by taking real actions across your stack
Overview
Key features
- AI agents that investigate and resolve tickets
- Integrations with Slack, Zendesk, and Linear
- Automated ticket triage and response drafting
- Context retrieval from logs and internal docs
- Workflow automation for repetitive support tasks
- Human handoff for complex issues
Pricing
- Model
- Freemium
- Category
- AI Agents
- Rating
- 4.8 / 5 (4)
Use cases
Automated technical ticket triage
Automatically classify, prioritize, and route incoming Zendesk tickets while pulling relevant context from logs and internal docs to accelerate first response.
Investigate developer support issues
Deploy AI agents to look up logs, reference code, and cross-check Linear issues so support engineers receive a pre-investigated summary before responding.
Draft responses in Slack
Surface suggested replies and context directly in Slack channels where support requests come in, helping agents respond faster without switching tools.
Resolve repetitive support workflows
Automate common support actions across connected systems for repetitive issues, and hand off to human agents when tickets require deeper expertise.
Pros & Cons
Pros
- Takes action across connected tools, not just replies
- Strong fit for technical and developer support
- Integrates with common support and engineering stacks
- Reduces time spent on ticket triage and investigation
Cons
- Best suited to technical support use cases
- Requires integrations to reach full value
- May need tuning for niche or domain-specific workflows
Reviews
Average from 4 ratings.
Sign in to leave a review.
Years in this space
I've evaluated a lot of these over the years. What stands out here is human handoff for complex issues — handled better than most — and takes action across connected tools, not just replies. May need tuning for niche or domain-specific workflows is my one real gripe. Worth the time if this is your use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is context retrieval from logs and internal docs — handled better than most — and reduces time spent on ticket triage and investigation. Worth the time if this is your use case.
Does the job
Pretty happy overall. Automated ticket triage and response drafting just works and takes action across connected tools, not just replies. but no dealbreakers — I'd recommend it to a friend without hesitating.
Use it every day
Honestly didn't expect to like it this much. Context retrieval from logs and internal docs is exactly what I needed, and integrates with common support and engineering stacks. I do wish requires integrations to reach full value, but I reach for it almost every day now and it just clicks.
Q&A
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