
TruLayer is a reliability platform for teams shipping LLM features, retrying with a fallback model.
trulayer.aiCrawled Oct 22, 2026
AI customer support agents handle thousands of refund and policy decisions a day. TruLayer scores every decision inline, closes the failure loop automatically, and routes edge cases to a human queue before the same mistake repeats.
Everything you need to ship reliable AI: distributed tracing, automated evals, failure clustering, self-healing actions with auto-escalation, remediation diffs, semantic search, and webhook alerts.
The TruLayer MCP server and Claude Code Skills enable querying traces, evaluations, and anomalies directly from an AI agent or IDE.
TruLayer's security posture: SOC 2 roadmap, encryption in transit and at rest, API key hygiene, client-side redaction, RBAC, and responsible disclosure.
Engineering, product, and company updates from the TruLayer team.
How I shipped TruLayer by supervising 12 Claude Code agents — and why the failure modes I had to engineer around are the exact same ones TruLayer catches in production.
TruLayer's Control Loop v0.1 ships a complete remediation cycle — eval-rule triggers, configurable retry budgets, HITL approval gates, remediation regression alerts, and per-trace before/after deltas. Here is what changed and why it matters.
Seven concrete orchestration patterns for teams building with AI agents, drawn from shipping TruLayer v0.1 with an AI agent team in 10 days of wall-clock time.
TruLayer offers usage-based pricing for its AI reliability platform, including a free tier. Users can estimate monthly costs with an interactive calculator.
Observability tells you what broke. TruLayer tells you what broke, why, and closes the loop automatically. Compare TruLayer with LangSmith, Langfuse, and Helicone on tracing, evaluation, control loop, and security.
TruLayer gives AI engineering teams real-time tracing, eval-rule-backed failure detection, and a closed control loop that retries, gates on human approval, and rolls back automatically — turning every production failure into a system fix instead of an incident.
TruLayer’s Privacy Policy outlines data collection practices, usage, retention by plan, sub-processors, user rights, and contact information.
TruLayer's Terms of Service: account responsibilities, acceptable use, data ownership, payment terms, termination, and limitation of liability.
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Trulayer introduces **Control Loop v0.1**, an AI reliability system focused on **closed-loop evaluation and human oversight**. The tool emphasizes rigorous assessment of AI agent failures, tracing errors, and clustering similar issues to reduce noise. Human-in-the-loop guardrails ensure reliability beyond mere detection.
Apr 2026TruLayerNews article
TruLayer developed **TruLayer v0.1** using **AI agents** to handle **400 sub-tickets** across **20+ production features**. The team completed the project in **10 days of wall-clock time**, demonstrating an accelerated development workflow. The article explores orchestration strategies and lessons learned from deploying AI-driven agents in product development.
Apr 2026TruLayerNews article
TruLayer’s AI agent team nearly caused a critical email deliverability failure before the company launched its first production code. The incident highlights early-stage challenges in integrating AI-driven development workflows and ensuring system reliability.
Apr 2026TruLayerNews article