Future AGI vs HookWatch

Generate personas, scenarios and synthetic datasets to stress-test text and voice agents across many conversation branches before launch.

Combine always-free heuristic metrics, code evaluators and LLM-as-judge scoring, including agentic evaluators that localise errors in RAG and tool calls.

Route traffic across 15+ LLM providers with load balancing, failover and caching, plus 15 built-in rule-based guardrails and ML content moderation.

End-to-end traces, sessions, agent graphs, custom dashboards and alert monitors give real-time visibility into production behaviour.

Each endpoint gets a HookWatch URL that receives and forwards webhooks, recording status, provider, response code, latency, and attempt count for every delivery.

Re-send an exact captured payload after a fix, with manual replay and retry policies instead of recreating the event by hand.

Failed deliveries are categorized by reason — signature mismatch, timeout, 5xx, rate limit — so you know what broke without grepping logs.

Recurring failures group into a single incident routed to Slack or a webhook, so a flaky endpoint shows up as one problem.