FixMyAI

FixMyAI Review

FixMyAI is a quality and evaluation platform that helps teams diagnose, benchmark, and improve LLM applications. It provides dataset management, prompt/version tracking, and scenario-based tests with automatic scoring for accuracy, robustness, and safety. Error analysis highlights failure modes, drift, and regression after model or prompt changes, while guardrails enforce policies like PII redaction and refusal rules. Integrations with logs and feedback loops capture real user cases to expand eval suites. Typical workflows include pre-release gating, A/B testing prompts, and continuous monitoring in production. The value is predictable improvements and safer behavior without guesswork.

Things to Know About FixMyAI

FixMyAI drawbacks: Diagnostics rely on accessible logs/prompts/outputs; opaque systems limit insight. Recommendations can be generic without detailed telemetry, and on-prem or air-gapped environments are harder to support. Integration depth with CI/monitoring is lighter than full MLOps suites.

Top Features

• AI quality auditor to detect hallucinations and policy violations
• Prompt optimization with automatic variants and scoring
• Red-teaming playbooks and safety evaluations
• Grounding checks for citations and factuality
• Latency, cost, and token-usage diagnostics
• Regression tests and dataset versioning
• Guardrail templates for PII, toxicity, and jailbreaks
• CI/CD hooks and API for automated evaluations
• Dashboards for failure modes and drift tracking
• Team workflows with approvals and audit logs

FixMyAI Pricing

FixMyAI pricing: per-project or subscription pricing for prompt/model troubleshooting, with higher tiers covering more experiments, evaluation runs, and collaboration; enterprise options include audit trails and SLAs; spending scales with debugging volume.

How to use FixMyAI

To use FixMyAI, paste the problematic prompt, output, or code snippet, describe what’s going wrong (hallucinations, latency, formatting), and select a goal (reduce errors, improve tone, cut tokens). Apply its suggested prompt rewrites or parameter changes, test the new run, and compare before/after. Save the working recipe and share it with your team as a reusable playbook.

Alternatives & Competitors

FixMyAI competes with tools like Humanloop, PromptLayer, Langfuse, and Arize—platforms for diagnosing and improving LLM outputs. They’re similar in logging prompts and responses, collecting human feedback, and running evaluations to spot regressions. Some rivals add dataset/version management, red-teaming suites, safety policy checks, and CI hooks to fail builds on quality drift. Its strengths are pragmatic error analysis, side-by-side comparisons, and quick prompt or system-message iterations. Gaps versus fuller ML observability stacks include lighter production telemetry, limited governance exports and role controls, and fewer automatic guardrail tests for safety, groundedness, or PII handling without custom pipelines.

Video