Everything you need to know about running an AI workflow diagnostic with TryPromptFlow.
TryPromptFlow runs a multi-stage diagnostic on your AI workflow, prompt, SOP, or agent instruction set. It checks for completeness gaps (missing context or edge-case handling), specificity failures (instructions too vague to execute consistently), executability problems (conflicting or impossible-to-follow instructions), escalation path coverage, role and tool clarity, and structural failure modes that cause inconsistent output over time.
Workflow Doctor diagnoses human-facing and AI-assisted workflows — the instructions, SOPs, and operating rules that govern how work gets done. Agentic Workflow Doctor diagnoses multi-agent systems — tool orchestration, handoff design, context passing, and agent instruction coherence. Workflow OS Doctor diagnoses operating systems for entire business functions — the policies, decision rules, and escalation paths that run teams or departments.
Most diagnostics complete in under 10 minutes. Larger or more complex workflows may take slightly longer. You can read early sections of the report while the rest is still generating.
Most diagnostics return an Executive Report with a readiness verdict, a Findings Table with severity ratings and recommended fixes, a corrected artifact (repaired SOP, workflow, or instruction set), a Risk Register, a RACI ownership matrix, an Implementation Roadmap, and a KPI Framework. See the sample diagnostic report for a labeled example of each section.
A corrected artifact is a structured starting point. Review it, adapt it to your operational context, test it, and approve it before implementation. The methodology page explains exactly what the diagnostic does and does not do.
Your submissions and generated reports are associated with your account and retained according to your plan and our Data Handling Policy so you can access your diagnostic history. Customer submissions are not used to train shared models.
Inconsistent output can result from missing context, underspecified instructions, ambiguous decision rules, model behavior, changing inputs, tool failures, or other workflow conditions. The diagnosis helps identify which causes are supported by the evidence provided.
Yes. AI agent failures can involve instructions, tool orchestration, context handoffs, memory, retries, permissions, data quality, or model behavior. Agentic Workflow Doctor examines the evidence across those boundaries.
Different outputs can have several causes, including the instruction, available context, configuration, and changes in the surrounding workflow. A workflow root cause analysis helps identify evidence-supported gaps to review; it does not assume that every difference has one cause.
TryPromptFlow offers one free Workflow Doctor diagnosis with no credit card required, a US$39 one-time Single Diagnostic, Core at US$149 per month, and Growth at US$299 per month. Visit the pricing page for current rates and run limits.
Run allotments reset monthly and do not carry over. If you need more runs mid-cycle, you can upgrade your plan at any time.
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