Claude-assisted DRD-to-FRD generation.
Claude reads structured DRD rows and proposes structured FRD rows ready for review. The SE reviews and approves. Nothing publishes silently.
DRD in. FRD out. The SE reviews instead of re-typing.
Solution engineers spend hours per project converting narrative discovery into structured functional requirements. The work is mostly translation, not judgment, but it still has to be reviewed by someone who understands the engagement. PartnerView ships one feature, and only one, that uses Claude: a Claude-assisted DRD-to-FRD generator that proposes structured FRD rows from a structured DRD, records per-row provenance back to the source rows, versions every regeneration as a new batch, and blocks downstream monday.com board config behind an explicit approval. The SE reviews and approves. Nothing publishes silently. A monthly USD cap auto-blocks new calls when the spend crosses it.
Hours per project go into turning narrative DRD content into structured FRD rows. Most of it is translation, not judgment, but the SE still has to do it by hand.
Reviewers cannot trace a functional requirement back to the discovery row that originated it. Decisions get questioned and nobody remembers where they came from.
Run a new pass and the old draft is gone. Review history disappears with it.
Per-call costs add up fast. Without a budget cap and per-call tracking, monthly LLM spend is a surprise.
| A generic LLM doc generator | PartnerView | |
|---|---|---|
| Approval | Generated text flows wherever you paste it. | Explicit approval gate; downstream output blocked until approved. |
| Provenance | Output text with no link back to source. | Per-row provenance from FRD row to source DRD rows. |
| Versioning | Regenerate overwrites the prior draft. | Batch versioning; prior batches preserved for review history. |
| Spend control | Whatever the API bills you. | Per-call cost tracking, monthly USD cap, auto-block on cap crossing. |
| Scope | Plug AI into every text field. | One feature, narrow scope: DRD-to-FRD. No AI in the money math. |
Claude reads structured DRD rows and proposes structured FRD rows ready for review. The SE reviews and approves. Nothing publishes silently.
Every FRD row records the source DRD row IDs it was derived from. A Derived from panel on the detail view traces every functional requirement back to its origin.
Regenerating from the same DRD creates a new batch (v2, v3, ...) that supersedes the prior draft. Previous batches stay accessible in a Previous batches pane.
An FRD batch moves from draft to approved through an explicit approve action. monday.com board config generation is blocked until approved; the API returns HTTP 409 with a clear reason. Approval writes an append-only audit row.
Input tokens, output tokens, model id, and computed USD cost recorded per batch. A monthly summary page aggregates per-user and per-model spend with sparkline trends.
A per-org monthly USD cap is configurable in admin settings. When monthly spend crosses the cap, new generation calls are auto-blocked with HTTP 429 and a clear over-budget message until the next month or an admin raises the cap. In-flight batches finish; only new calls are blocked.
The Claude-assisted draft path with provenance and versioning.
Turning the approved FRD into something the implementation team can use.
Per-call cost tracking, monthly budget caps, and admin-managed prompts.
Bring an active engagement. We will model it in PartnerView live.
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