Technical messages written for engineers rarely land well with product, design, or leadership. Teams waste time in back-and-forth clarifications — or worse, misread the urgency and miss deadlines. This prompt takes any raw internal message and rewrites it for your target audience and tone: clear, structured, and with next steps that are impossible to miss. Just fill in 5 inputs.Documentation Index
Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
How the prompt works
The system prompt sets the LLM up as a communication consultant and requires six improvements in every rewrite: preserved detail, improved clarity, matched tone, better structure, added context, and clear action items. Without that structure, models either over-simplify (losing key technical detail) or produce generic rewrites that don’t fit the audience. The user prompt takes five variables — original message, target audience, desired tone, context, and primary goal — so every rewrite is shaped by who needs to read it and what it needs to achieve.System prompt
Sets the LLM’s role and defines the six improvements it must apply in every rewrite.User prompt
Five variables that shape the rewrite for the right audience, tone, and outcome.Sample output: API rate limiting issue
Sample output: API rate limiting issue
Quick update: API issue impacting Q2 launch timelineHi team,I wanted to loop everyone in on a technical issue affecting our Q2 release timeline and get us aligned on next steps.What’s happening:
Our API is hitting rate limits during peak usage times, causing connection errors for our mobile app. Think of it like a highway during rush hour — we’re getting more traffic than our current lanes can handle.The numbers:
- Our system can handle 1,000 requests per minute
- We’re seeing 1,200–1,500 requests during busy periods
- This is preventing our mobile team from completing their final testing
- Quick fix: Increase our rate limits to handle current traffic
- Better fix: Implement smart retry logic so the app handles busy periods gracefully
- Bonus: Optimise database connections for better performance
- Engineering will implement option 1 by Wednesday for immediate relief
- Option 2 is planned for next sprint as a permanent solution
- Mobile team can resume testing by Thursday
Import into Adaline
This prompt comes with a ready-to-import Adaline project file. It includes the prompt, dataset, and evaluators, all pre-configured.Evaluations and dataset
Each prompt in the library ships with a dataset and evaluators so you can test quality before deploying.Evaluators
Two failure modes, three evaluators: one for rewrite quality, one for audience fit, one for length.Rewrite quality
Checks that all six required improvements are applied in every output.Audience fit
Checks that the language and framing match the stated target audience.Response length
Guards against over-long rewrites. A good internal message respects the reader’s time.Dataset
Four scenarios across different audiences and communication goals — each row maps directly to the five variables in the user prompt.| Original message | Target audience | Desired tone | Context | Primary goal |
|---|---|---|---|---|
| API rate limiting issue — “The API endpoint is returning 429 errors due to rate limiting. Threshold is 1,000 req/min but peak usage hits 1,200–1,500. Need to increase limits or implement exponential backoff. Blocking mobile team integration testing. DB connection pool also at 95% capacity.” | Cross-functional team: design, marketing, and executives | Professional but approachable, solution-focused | Impacting a major product launch timeline | Get team alignment on next steps and timeline |
| Database migration notice — “Migrating primary DB from PostgreSQL 12 to 15 this Saturday 2–4am. Some foreign key constraints need manual migration. Read replicas stay up but writes will fail for ~45 min, possibly 90 min if schema edge cases arise.” | Product and operations team | Informative and reassuring | Affects a customer-facing feature used during business hours | Ensure the team knows what to expect and who to contact if issues arise |
| Sprint delay announcement — “Authentication refactor is 3 sprints behind due to undiscovered OAuth edge cases with enterprise SSO. Each enterprise customer has slightly different SAML configs and our abstraction layer doesn’t handle it. Need 2 more sprints minimum.” | Executive leadership (CEO, CPO) | Direct and confident, not defensive | Enterprise tier was a key Q3 commitment made to the board | Get exec buy-in on revised timeline without losing confidence |
| Security incident update — “Detected unusual API access at 03:14 UTC. Misconfigured S3 bucket exposed read access to internal analytics logs for ~6 hours. No PII exposed. Bucket is locked. Reviewing access logs to confirm scope. Only aggregated event data was affected.” | All-hands company communication | Transparent and calm, no panic | Team will see news before the internal memo goes out | Communicate facts clearly before speculation starts |