A complete toolkit for processing AI chatflow responses, running eval question sets, checking URLs, and managing per-client files — all in one place.
Everything you need to test, validate, and process AI-generated content at scale — organized by client.
Build and run evaluation question sets against chatflows. Score responses, compare models, and track quality over time.
Upload CSVs of prompts and batch-process them through any configured chatflow. Download results when done.
Validate URLs referenced in AI responses. Catch broken links, redirects, and hallucinated URLs before they ship.
Pull and analyze message history from Flowise chatflows. Spot patterns, failures, and edge cases in production traffic.
Organize eval sets, CSVs, and results by client. Every artifact stays scoped to its project — no cross-contamination.
Manage API endpoints, override IDs, and session configs per client. Switch contexts in one click.
Pick a client, configure your chatflow, and run your tools. Results are stored locally and exportable.
Choose or create a client workspace. All question sets, chatflows, files, and results are scoped to that client.
Point to your Flowise endpoints, set override configs, and define evaluation question sets with expected answer criteria.
Execute eval runs, batch-process CSVs, or check URLs. Review results inline, export to CSV, or drill into individual responses.
Whether you're shipping chatbots, RAG pipelines, or AI-powered content — this is your QA layer.
Run structured evals against chatflow endpoints. Compare prompt variations, measure accuracy, and catch regressions before deploy.
Manage multiple client chatbots from one dashboard. Keep eval sets, configs, and results cleanly separated per engagement.
Validate AI-generated URLs, check response quality at scale, and flag hallucinations before they reach production.
Your AI responses deserve real QA. Set up your first client and run an eval in under a minute.