# LLM-Written Customer Report > This is the customer reading view. Supporting technical evidence and engineering tasks are available in the accompanying downloads. Generated by FlowPreflight web 11ce11c2 · worker 11ce11c2 ## 1. Overall Result No source-backed defect or release blocker was confirmed. This is not a clean bill of health: the review still contains 1 follow-up check, 1 retained evidence record, and 0 question groups that source code alone cannot answer. No code change is justified until the specific checks below confirm a problem or missing control. - Confirmed issues: 0 - Confirmed release blockers: 0 - Follow-up checks: 1 - Supporting evidence-boundary records: 1, grouped into 1 follow-up check across 1 business review area. - Questions that need runtime or product context: 0 ### What the analysis covered The waiting time was used to inspect the repository source and its connected evidence, not to generate a guess from a small sample: - 24 files seen; 12 files parsed - 637 source facts recorded (including 24 file records, 17 imports, 6 exports, 9 code declarations, 48 function and method calls, 1 API endpoint; other fact types remain in the technical evidence) A source fact is one small observation about the code, not a problem count. FlowPreflight connects these observations to understand which files depend on each other, which functions call one another, where requests enter, and where data may be read or changed. - 17 functions analyzed - 363 package and version records included in the advisory inventory This inventory is not a count of vulnerabilities or repository problems; package reachability is assessed separately where source evidence supports it. - 38 report and evidence artifacts retained for traceability These are workload and evidence-retention measures, not defect counts or a runtime safety guarantee. ### Two-minute decision view Production source evidence indicates a web or API application that sends a product request to a recognized AI provider and returns the represented result. Represented users are application user, application runtime and ai provider. Represented outcomes are a product request reaches a statically observed AI provider boundary and returns through the represented route or error path. Start with these source-backed journeys: - **AI provider request** — Source path reconstructed. - **User input to provider request and response flow** — Source path remains open. Source code cannot answer these points by itself: - Runtime behavior, deployed configuration, and external provider behavior are outside static analysis. ### How deeply the code was connected FlowPreflight recognized 17 functions. It selected 17 for deeper behavior analysis and retained 0 at a shallower structural depth so important entrypoints and effects could receive the strongest analysis budget. Static source paths connected 8 functions to analyzed application entry surfaces. 4 functions contain one or more calls whose final target remains outside the closed static target set; those paths remain bounded rather than guessed. These are static analysis-depth measures, not proof that a function ran in production. ### Behavior traced through the source The analysis retained 92 data-flow relationships, 24 function-to-function links, 2 bounded dispatch targets, and 5 locations where source behavior may read, change, send, or otherwise affect state. These relationships explain how the review reconstructs behavior beyond a route or function name; they are not problem counts. ### Application structures inspected Source scanning recorded 6 possible application entrypoints, 1 API endpoint structure, 6 package scripts, 0 test files, 0 database schema structures, 1 outbound API-call location, and 6 operational configuration records. These are syntax-level structures. The resolved production routes and customer journeys shown later are a separate, deduplicated semantic view. ### Data changes and external behavior The source inventory includes 0 database operation locations and 0 database field or schema structures. Semantic analysis also retained 0 database-write, 0 transaction, 1 external-call, 0 retry, and 0 timeout evidence bindings. One binding is one evidence-backed source location. It is not a unique control, a passed check, or a confirmed issue. ### AI-assisted behavior found in source The analysis retained 0 AI context-retrieval, 0 AI tool-execution, and 2 model-provider-call source locations, plus 3 stricter provider-data-boundary evidence bindings. These locations are used to trace where AI features may read context, choose an action, or contact a model provider. The counts do not prove that production data was exposed or that authorization is complete; those conclusions remain journey- and path-specific. ## 2. What This Product Does Production source evidence indicates a web or API application that sends a product request to a recognized AI provider and returns the represented result. Represented users are application user, application runtime and ai provider. Represented outcomes are a product request reaches a statically observed AI provider boundary and returns through the represented route or error path. The main people and systems represented are Application user, Application runtime, Ai provider, Signed-in customer or API client, Background service. Source evidence also shows these product responsibilities: - AI provider request and response - State-changing API The senior review also covered 18 review areas and 36 structured questions. The complete structured matrix remains in the retained customer JSON and technical evidence artifacts. ### Architecture and growth readiness An overall architecture and growth-readiness rating was not established because source evidence covered 1 of 5 design areas. This is an evidence boundary, not a negative rating. The source did not provide enough evidence to rate: Customer journey design, Business correctness and edge cases, Trust and data boundaries, Reliability and cost boundaries. The table still shows the design areas that were connected to real source evidence, without inventing an overall score. | Design area | Source-based rating | What this means | |---|---|---| | Customer journey design | Not established | The available source evidence was not sufficient to rate this area. | | Business correctness and edge cases | Not established | The available source evidence was not sufficient to rate this area. | | Trust and data boundaries | Not established | The available source evidence was not sufficient to rate this area. | | Reliability and cost boundaries | Not established | The available source evidence was not sufficient to rate this area. | | AI handover and change safety | ★☆☆☆☆ | 1 supporting signal was observed and 6 questions in this area still need review; source-path ordering could not be established for 0 listed items. | - **To strengthen AI handover and change safety:** Identify the authoritative owner for duplicated or competing responsibilities before extending that area. - **Still requires operational confirmation:** Use production measurements, provider limits, and a realistic workload profile before making a capacity or scale commitment. ### Review modules selected for this repository Every report keeps the core review modules. Extra modules are selected only when repository evidence matches their scope. - **Important production flows** — Every supported repository is reviewed through its evidence-backed production or package flows. - **Evidence maturity** — Source, control, test-linkage, and runtime boundaries must remain distinguishable. - **Code structure and change risk** — Function overlap, unused-code candidates, and change/test context affect future human and AI-assisted changes. - **AI-assisted actions and customer data** — Selected because the report retained evidence matching ai provider. - **Frontend and browser behavior** — Selected because the report retained evidence matching frontend-static, frontend. ### Production surface reconstructed from source The source review connected 11 production files, 5 recognized routes, 1 runtime scope, and 2 customer or operational journey groups. - AI-assisted operations: 2 journey groups These are source-backed analysis groups, not a claim about the deployed network topology. ## 3. Important Customer Journeys - **AI provider request:** An ordered source path was reconstructed for this journey (1 recorded transition). - **User input to provider request and response flow:** Related source references were found, but one ordered path was not established: Source steps were identified, but the adjacent call or data-flow edges needed to establish their execution order were not resolved. ### How the important journeys were checked For each journey, the review compared the controls found on its represented source paths. A control found on one path is not treated as present everywhere. - **AI provider request:** No control family could be evaluated from the available source path. - **User input to provider request and response flow:** No control family could be evaluated from the available source path. ### Evidence maturity for the journeys to read first This table separates what source analysis reconstructed from what still needs tests or runtime evidence. | Journey | Source path | Controls | Source-linked tests | Runtime evidence | |---|---|---|---|---| | AI provider request | Source path reconstructed | Not evaluated | Not evaluated | Runtime evidence not imported | | User input to provider request and response flow | Source path remains open | Not evaluated | Not evaluated | Runtime evidence not imported | Source-linked tests mean static linkage only; they do not prove that a test ran or passed. ### Visual maps to open first These maps are selected from the same canonical journey evidence; the selection does not add claims. - [Production source surface](report-diagrams/01-diagram-production-surface.svg) — Start with the repository-wide production source surface. - [Journey · AI provider request](report-diagrams/02-diagram-critical-journey-1.svg) — Highest-value source-backed journey selected by the knowledge ranking signals. - [Journey · User input to provider request and response flow](report-diagrams/03-diagram-critical-journey-2.svg) — High-value customer journey selected from the published journey evidence. ## 4. Security and Access No source-backed security issue was selected for this customer view. Deployed identity policy, network controls, secret storage, traffic limits, and live abuse behavior still require runtime or operational evidence. ## 5. What Looks Good - **Business-critical state change:** The source review reconstructed a path that changes application state. This shows where the change occurs; it does not establish that a security or reliability safeguard is present. ## 6. What To Review The detailed checks have been grouped into business review areas so the same concern is not repeated for every route or file. ### Dependencies and external services **What we know:** Source evidence identified packages and providers used by production paths, but their deployed reachability and failure impact need confirmation. **Why it matters:** A package or provider used in many parts of the product can make upgrades, outages, and security fixes affect several customer journeys. **What to check:** Confirm which customer journeys reach each cited package or provider and document upgrade, timeout, outage, and fallback behavior. **Done when:** Reachable dependencies have focused integration checks and a documented customer outcome for provider failure or upgrade. ## 7. Recommended Next Steps 1. **Dependencies and external services:** Which dependencies and providers are used by production paths and how widely are they coupled? **Complete when:** Rerun the targeted review and verify that Dependencies and external integrations has no open follow-up item for the targeted scope. ## 8. What This Review Covered FlowPreflight inspected the supported JavaScript and TypeScript source, reconstructed the production paths it could support with evidence, and kept incomplete paths visible instead of guessing their outcome. ### What source code cannot answer The following require runtime, deployment, provider, or business evidence: - Production traffic, peak workload, response time, and capacity. - Provider delivery failures, deployment configuration, and production access history. - Secret rotation evidence and business rules for refunds, cancellations, retention, or manual overrides. These are open questions, not detected defects. ### Why some questions remain open The flow review evaluated 1 check: 1 produced sufficiently connected evidence, while 0 remained partial or unknown. It also retained 4 functions with open call-target boundaries and explicitly resolved 0 canonical identity conflicts. Partial, unknown, open-path, and explicitly reconciled records are analysis boundaries, not confirmed repository defects. No grouped source-analysis cause was available for the remaining open questions. ### Static change and test context The graph indexed 3 file targets, 10 journey targets, 1 route target, and 0 linked test targets; 3 targets had no direct static test linkage in this projection. Static linkage is not runtime test coverage and does not state that a test passed. ### Dependency evidence boundary The advisory scan retained 59 package-version matches. Production-journey reachability was not evaluated in this run, so these matches are follow-up evidence rather than confirmed production exposure. - Pilot scope: FlowPreflight is currently JS/TS-first for deep semantic flow inspection. - This is a source evidence-backed review, not a security certification or runtime verifier. - Unsupported primary stacks and unsupported source scopes are reported as partial or unknown rather than inferred as complete. - This report is generated from source and reconstructed flow evidence. - It does not verify runtime behavior or guarantee production outcome. ## 9. Detailed Evidence This report is the customer summary. No underlying item was deleted: - The Prompt Pack contains scoped implementation and verification tasks. - The Technical Flow Dossier contains the complete flow and function evidence. - The Technical Appendix contains inventories and supporting analysis details. - Machine-readable evidence and publication notes are retained with the analysis run. ### Visual maps generated from the same evidence FlowPreflight generated **6 evidence-backed diagrams** without using an LLM to add nodes or relationships. The pack covers **2 important journeys**: **0 ordered source paths** were reconstructed and **2 journeys** retain an open path boundary. An additional **1 supporting source boundary** remains in the Technical Flow Dossier and is not presented as a customer-journey diagram. Open [the visual map index](report-diagrams.html), or inspect the portable [Mermaid source](report-diagrams.md). Dashed paths mean the source analysis could not establish a complete ordered path.