Prompts, agents and workflows — tested in the open
The Lab is a working notebook, not a product catalog. Everything here starts as a rough experiment and gets shared as it proves useful in real Medical Affairs practice.
Before you explore
What each type of resource actually is
So you know exactly what you're getting before you open a card.
Prompt
A piece of text you give directly to an AI assistant (like Claude) to get a concrete result in a single conversation. No setup required — copy, paste, adapt it to your case.
Agent
A more elaborate prompt that gives the AI a role and a multi-step process to complete a complex task end to end, with a fixed output structure that repeats every time you use it.
Workflow
A repeatable sequence of steps — which may include one or more prompts — that carries a task from raw input to a finished, ready-to-use result.
Experiment
An ongoing test to validate whether a specific use of AI delivers real value — not yet as reliable as an established prompt or workflow. It might not work out, and that gets shared too.
Framework
A conceptual structure — not necessarily a prompt in itself — for organising how you think about or work a problem. It's the base for building your own prompts and workflows.
Tool
A practical utility, sometimes with its own page on the site, built to solve one specific task directly — no need to write a prompt from scratch.
Prompt
Medical Insights Copilot
A prompt pattern for classifying field insights by therapeutic relevance, urgency and stakeholder type.
Status: activeInsights
View the prompt
You're a Medical Science Liaison classifying field insights for the Medical Affairs team.
I'm going to paste one or more raw insights, exactly as I captured them after an interaction with a healthcare professional. For each one:
1. Summarise the insight in one clear, actionable sentence (no jargon, no filler)
2. Classify it by:
- Therapeutic relevance: High / Medium / Low, and why
- Urgency: Immediate (days) / Next cycle (weeks) / To monitor (months)
- Stakeholder type: KOL / DOL / General HCP / Patient / Payer / Other
3. Flag whether it needs escalation to Medical, Regulatory or Pharmacovigilance
4. Propose the concrete next action (who to inform, what decision it could change)
Don't invent data I haven't given you. If there's not enough context to classify confidently, say so explicitly instead of assuming.
Here are the insights:
[paste your field insights here, one per line]
Agent
Congress Intelligence Agent
Structures congress sessions — abstracts, talks, posters — into organised takeaways and follow-up actions.
Status: activeCongress
View the prompt
Act as an assistant that structures my congress notes into organised takeaways and next steps.
I'm going to paste my raw notes from the sessions I attended at a congress (abstracts, talks, posters, informal conversations). From them, generate:
1. Executive summary (max 5 lines): what actually changes for our therapeutic area
2. Findings by session, as a table: Session | Key finding | Relevance to our product/competition | Evidence level
3. Insights to classify: the 3-5 most actionable points, ready to go through an insight-classification process
4. Pending follow-ups: contacts I should write to, open questions, literature to review
5. Alerts: any safety data, competitive signal or guideline change that needs escalating now
Be concise and concrete — no generic summaries. If my notes are ambiguous or incomplete anywhere, flag it instead of filling the gap yourself.
Here are my congress notes:
[paste your notes here]
Help me prepare a repeatable brief before a scientific call with a healthcare professional.
I'll give you the stakeholder's name/profile and the context of the visit. Generate a brief with this structure:
1. Stakeholder profile: specialty, role (KOL/DOL/HCP), affiliation, known scientific interests
2. Interaction history: what we know from previous contact (summarise what I give you, don't invent)
3. Visit objective: in one sentence — what I'd want to walk away with from this conversation
4. Likely questions they might raise, with key response points based on the evidence I give you
5. Relevant evidence to have on hand: which studies, guidelines or data I should review beforehand
6. What I should NOT do: a reminder of the compliance boundaries relevant to this type of conversation (no promotion, no unsolicited off-label)
Here's the context:
- Stakeholder: [name/specialty/affiliation]
- Visit context: [reason, what's been discussed before, what new evidence exists]
Workflow
Literature Intelligence Workflow
A repeatable process for turning new publications into structured, verified medical insights.
Status: activeEvidence
View the prompt
I want to turn a new scientific publication into a structured medical insight, ready to share with my team.
I'll paste the abstract (or full text) of an article. Generate:
1. Plain-language summary (3-4 lines): what was studied, in whom, and what was found
2. Why it matters for our therapeutic area or product — be specific, not generic
3. Evidence level: study type (RCT, observational, real-world, meta-analysis...), sample size, key limitations
4. Contrast with existing evidence: does it confirm, nuance or contradict what we already knew?
5. Practical implications: what could change in conversations with HCPs, or in the Medical Plan
6. Open questions this study doesn't resolve
Base everything strictly on the text I give you — if you need additional context (comparators, prior guidelines) you don't have, say so explicitly instead of assuming.
Here's the article:
[paste the abstract or text here]
Workflow
Stakeholder Research Workflow
A structured process for understanding a DOL or KOL before first scientific engagement.
Status: activeDOLs
View the prompt
Help me put together structured research on a KOL or DOL before my first scientific engagement with them.
From the public information I give you (publications, professional profile, congress/social activity), organise:
1. Scientific profile: area of specialisation, active research lines, affiliations
2. Publication footprint: recurring topics, usual co-authors, journals they publish in
3. Likely positioning: which debates or controversies in the specialty they might have a formed opinion on
4. Points of connection with our therapeutic area — where their interests overlap with what I can offer
5. Opening questions that show I've done my homework, without sounding scripted
Don't invent biographical or publication data I haven't given you — if the public information you have is limited, say so and suggest what I should look up myself.
Here's what I know about this stakeholder:
[paste what you know: name, specialty, publications, profile]
Framework
Medical Affairs Knowledge OS
An evolving structure for organising scientific content, insights and prep material into one coherent system.
Status: in progressKnowledge
View the prompt
Help me organise my Medical Affairs knowledge into a coherent, reusable structure.
I'm going to give you a messy list of topics, notes, documents or insights I have scattered around. From that:
1. Propose a folder/category structure that makes sense for my territory (e.g. by therapeutic area, by content type, by product lifecycle stage)
2. For each item I give you, indicate where it would fit in that structure and why
3. Flag gaps: what type of content seems to be missing for a complete knowledge base
4. Suggest a simple naming convention so future documents are easy to find
The goal is a system I can maintain on my own, without complex tools — think of something that works with normal folders or a structured note.
Here's my list of scattered content:
[paste your topics/notes/documents here, one per line]
Experiment
AI-Assisted Congress Debrief
Testing whether a structured AI debrief improves the speed and consistency of post-congress reporting.
Status: testingCongress
View the prompt
Help me do a structured debrief after a congress, faster and more consistent than a free-form summary.
I'll give you my raw notes (or a transcribed recording) from the congress. Generate a debrief in this exact format, so it's comparable across congresses:
Congress: [name, date]
Objectives met: (of the ones I set before going, which I achieved)
3 key scientific findings: with relevance and implication for each
Stakeholder interactions: 1-line summary per relevant contact, with proposed follow-up
Comparison with previous congresses (if I give you prior debriefs): what's changed
Be honest about limitations: if my notes don't support completing a section, say so instead of inventing content.
Here are my congress notes:
[paste your notes or transcript here]
Tool
Prompt Builder
A lightweight framework for constructing Medical Affairs-safe prompts with the right context and guardrails.
Help me build a safe, effective prompt for a specific Medical Affairs task.
I'll describe a task I do regularly (or want to partly automate). From that description:
1. Identify the role the assistant should take on for this task
2. Propose a clear output structure (sections, table, list) suited to how I'll use the result
3. Add explicit guardrails: what the assistant must NOT do (invent data, give clinical recommendations, bypass compliance)
4. Leave a clear placeholder where I'll paste my real information each time I use the prompt
5. Give me the final prompt, ready to copy and reuse
Here's the task I want to turn into a prompt:
[describe your task: what information you receive, what you need to get out of it, who the result is for]
Experiment
Future MSL Workflows
Exploring what a fully AI-augmented (never AI-replaced) MSL weekly workflow could look like.
Status: earlyFuture MSL
View the prompt
Help me design what my week as an MSL could look like if I leveraged AI at every stage — without it replacing my scientific judgement.
I'll describe my typical activities for a normal week. For each one, suggest:
1. Whether AI could help with that activity, and exactly how (what specific task I'd delegate to it)
2. What part of the activity must stay 100% mine, no exceptions (clinical judgement, human relationship, final decision)
3. An example prompt or process I could try this week for that specific activity
4. The main risk of using AI there, and how to mitigate it
At the end, give me a summary of my "augmented" week as a table: Activity | AI-assisted | Stays 100% mine.
Here's my typical week:
[describe your usual activities for a week, day by day or by task type]
A working principle
Nothing in the Lab replaces scientific judgement or bypasses compliance. Every prompt, agent and workflow here is a starting point to adapt within your own company's approved tools and governance — not a plug-and-play production system. See Responsible AI for the full framework.
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