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Regulatory documents drafted from structured program data

Investigator's Brochures, Pre-IND packages and protocols assembled from the program database by a prompt system with a shared rubric and modality overlays — so medical writers edit instead of starting from blank.

First-principles view.
What is a protocol or IB?➤
/imagine documents could assemble themselves from trusted inputs
/imagine your role shifted from writer to verifier
1. INPUTS AND SOURCES2. STRUCTURED DATA3. REG DOCNScispotSTUDY DESIGNTRIAL STRATEGYPRECLINICAL DATACOMPOUND METADATAWEB SCRAPINGPROTOCOL EXAMPLESCOMP INTELPrimary objectiveSafety and efficacy byendoscopic improvement(Mayo ≤ 1) at Week 12When?Q4 2025 / Q1 2026SexesAllParticipation length51 weeksEnrolment76 participantsHealthy volunteers?NoPlacebo arm?Single-arm: all participantsreceive the investigationalproductIBSUMMARYINTRODUCTIONNAME OF DRUGINDICATIONMECHANISM OF ACTION1. Physical, chemical and pharmaceutical properties2. Nonclinical studies3. Pharmacology4. ToxicologyPROTOCOLSUMMARYINTRODUCTIONNAME OF DRUGINDICATIONMECHANISM OF ACTION1. Physical, chemical and pharmaceutical properties2. Nonclinical studies3. Pharmacology4. Toxicology5. Effects in humans6. Guidance for the investigatorPROTOCOL: IL13-TSLPIB: Myostatin (GDF8)
“

Drafts you can argue with, not documents you have to trust. Every section cites its source rows, so a reviewer can disagree in minutes. I gave up fluency for traceability, every time.

— The call I made

Challenge:

Weeks of writing time spent assembling facts that already exist

An Investigator's Brochure or a Pre-IND package is weeks of medical-writing time — and most of that time is assembly, not judgement: pulling the pharmacology, the tox summary, the CMC facts out of the program database and arranging them into sections reviewers expect.

Every program re-did it from scratch, and the facts drifted from the database the moment they were copied into a document.

  • Assembly, not authorship: The scarce skill — a writer's judgement — was spent on copy-and-paste.
  • Traceability: A number in a document had to be defensible back to its source, and manual assembly broke that chain.
  • Modality matters: An siRNA brochure and a bispecific antibody brochure share a skeleton but not a story.
  • Writers stay the authors: Anything generated had to be a draft a writer could argue with, not a document anyone had to trust.

Solution:

A prompt system with a shared rubric, modality overlays and citations to source rows

The Investigator's Brochure generator runs 22 canonical prompt rows against the program database, with a shared rubric prepended to every one and overlays for siRNA, monoclonal and bispecific antibodies. Each section cites the rows it drew from. The same architecture powers a 16-section Pre-IND package built in waypointed phases so long runs survive timeouts, plus clinical protocol and RNAi patent drafting.

  • IB generator: 22 canonical prompt rows with a shared rubric and modality overlays for siRNA, monoclonal and bispecific antibodies
  • 16-section Pre-IND package skill, built in waypointed phases so long runs survive timeouts
  • Clinical protocol and RNAi patent drafting skills, plus a data-room engagement dashboard for diligence
  • A library of 20+ skills — coding, monitoring, validation docs, bug tickets, market intel — in daily use across product, clinical ops and BD

Agentic assembly

Six steps from a strategy handoff to an exported document, with a person approving every edit.

1Strategy handoffProgram data pulled from the Notion database.
2Browse examplesRelevant protocols and IBs retrieved as references.
3Draft a sectionOne canonical prompt row per section, cited to its sources.
4Accept editsThe writer reviews, edits, and accepts inline.
5Save changesApproved text written back with its citations.
6Template & exportAssembled into the house template as a Google Doc.
22canonical prompt rows behind the Investigator's Brochure
16sections in a Pre-IND package, generated in phases
4document types: IB, Pre-IND, protocol, RNAi patent
3modalities: siRNA, monoclonal, bispecific

Impact:

First drafts in hours, and writers back on judgement

First drafts arrive in [hours] instead of [weeks], with every section traceable to its source rows. Writers spend their time on what the document should argue, not on where the numbers came from.

The first IB draft, generated live in a program review, turned a strategy debate into an edit session — which is the whole point.

Drafting time[hours] instead of [weeks] to a first draft a writer can edit.
Documents[N] documents generated across [N] programs.
TraceabilityEvery section cites its source rows; reviewers disagree in minutes, not days.
Reach20+ skills in daily use across product, clinical ops and BD.
“

Prompt rows co-written with medical writing and regulatory; modality overlays reviewed by the scientists who own them. Program database → prompt system → Google Docs, and the same rubric now powers Pre-IND and protocol drafting.

— How it came together

Want the longer version?

Happy to walk through any of this on a call — the tradeoffs, the parts that didn't work, what I'd do differently.