Diagnoses device issues, monitors health, and analyzes security with AI
TryPromptFlow
Diagnoses failures in workflows, AI agents, and operating systems using submitted evidence
About TryPromptFlow
TryPromptFlow provides diagnostic services for workflows, AI agents, and operating systems by analyzing evidence such as code, logs, screenshots, or workflow diagrams. Users describe expected and actual outcomes, then submit relevant materials for analysis. The platform generates a failure map, suggested corrections, an ownership matrix, and a verification plan without requiring live-system access or making automatic changes. Findings are linked to supplied sources, and the report distinguishes supported observations from unverified hypotheses. Diagnostic results are saved for team review and future reference, but the tool does not continuously monitor systems or deploy fixes. It supports workflow assurance by guiding teams through correction, ownership assignment, and verification steps.
Key features
- Failure mapping with supported or likely failure boundaries
- Suggested instruction changes with verification steps
- Structured repair plans with prioritized actions
- Ownership matrix assigning clear responsibility per step
- Verification plan to confirm fixes
- Support for code, logs, screenshots, diagrams, and instructions
- Three diagnostic modes (Workflow Doctor, Agentic Workflow Doctor, Workflow OS Doctor)
- Saved diagnostic reports for workspace users
Use cases
- Diagnosing failing workflow steps or unexpected outputs
- Investigating AI agent decision-making errors or loops
- Identifying cross-team coordination or sequencing failures
Pros
- Analyzes workflow, AI agent, and operating system failures using submitted evidence
- Generates structured repair plans with ownership and verification guidance
- Supports multiple diagnostic modes (Workflow Doctor, Agentic Workflow Doctor, Workflow OS Doctor)
- Preserves diagnostic records for team review and future reference
- No live-system access or automatic changes required
Cons
- No continuous monitoring or live-system integration
- Diagnostic findings require manual verification by the team
- Single diagnostic credit available for free accounts
- Reports do not create linked implementations or outcome timelines
Frequently asked questions about TryPromptFlow
What does TryPromptFlow do?
TryPromptFlow diagnoses broken workflows, AI agents, or operating systems by analyzing user-submitted evidence such as code, logs, screenshots, or workflow diagrams. It generates a failure map, suggested corrections, an ownership matrix, and a verification plan without requiring live-system access or making automatic changes.
Who should use TryPromptFlow?
The tool is designed for teams managing workflows, automations, AI agents, or cross-team coordination. It suits users who need structured diagnostics for failures in workflows, agentic systems, or operating systems.
Does TryPromptFlow connect to live systems or apply fixes automatically?
No. TryPromptFlow works solely from the information and evidence you provide. It does not connect to live systems, modify configurations, or deploy changes. All recommendations are for your team to review and implement.
What types of evidence can I submit for diagnosis?
You can submit code excerpts, error messages, logs, screenshots, workflow diagrams, instructions, examples, or business rules. Relevant text or visuals help the diagnosis identify failure points and suggest corrections.
Can I review what will be submitted before running a diagnosis?
Yes. The evidence intake interface lets you preview selected text excerpts and processed image previews, and allows you to replace or remove items before submission.
How are diagnostic results stored and used?
Diagnostic reports are saved for team review and future reference. They include the failure map, suggested corrections, ownership matrix, and verification steps. The reports do not create linked implementations or outcome timelines.