Chainix
Drag and drop agent workflows for customer support teams
Details
- Categories
- AI
- Target Audience
- Customer Success TeamsNon-Technical UsersDevelopers
- Platforms
- Web
About Chainix
Chainix is a drag-and-drop platform for building AI agents where reasoning and capabilities are cleanly separated. Inference steps — the judgment calls like "is this tenant upset?" or "what are they requesting?" — are written in plain English and owned by domain experts. Function call steps — the actual actions like submitting a ticket or checking availability — are owned by engineers. When something goes wrong, your non-technical collaborator opens the log, reads every decision the agent made in plain language, finds the mistake, and fixes it themselves. No ticket, no middleman, no delay. This pattern works for any text-processing agent where an LLM interprets input and triggers actions — leasing offices, Slack bots, internal ops workflows, and beyond.
Product Insights
Chainix is a web-based platform that facilitates collaborative AI agent development by separating plain-English reasoning steps from technical function calls. This architecture allows customer support and internal operations teams to manage decision logic while engineers handle backend integrations.
- Clean separation between domain expert reasoning and developer-led function calls.
- No-code interface allows non-technical users to debug and fix agent logic via plain language logs.
- Versatile application across leasing, Slack bots, and internal operations workflows.
- Drag-and-drop workflow builder designed for rapid iteration without engineering tickets.
Ideal for: Customer success teams and developers who need to co-build AI agents for customer support and workflow automation.
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Comments (2)
Congratulations on your product launching! This may definitely give Salesforce a challenge! :)
cool