# Dynamic Megaprompt Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/dynamic-megaprompt
> Markdown URL: https://aitinkerers.org/technologies/dynamic-megaprompt.md
> Technology record last updated: 2026-02-27T01:35:12Z
> Generated: 2026-09-22T08:50:30Z

Adaptive, large-scale prompt engineering: it tailors extensive input to instance-specific needs for superior LLM output.

Dynamic Megaprompting is the next-gen evolution of prompt engineering, combining the depth of a multi-thousand-line mega-prompt with instance-aware adaptability. This technique employs a small, trainable learning network to adjust prompt properties dynamically (position, length, representation). It moves past fixed soft prompts. For example, a static 1500-word instruction set becomes a real-time, optimized context delivery system, boosting model performance and generalization across diverse inputs. We get precision at scale: maximum context, minimum overhead.

- Official technology site: https://learnprompting.org/docs/dynamic_prompting
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Claude 100k Dynamic Megaprompt](https://chicago.aitinkerers.org/talks/rsvp_Ugm8bHxP7qo)

On August 4th, my son suffered a severe brain hemorrhage from a rare and undiagnosed brain condition, thrusting me onto the steep learning curves of the medical system, neurosurgery, rehabilitation and other topics. So I build a RAG + LLM system using Claude 100k to help me quickly learn and understand — that works by ingesting his medical records, my log of detailed note (in OSX notes app) and full index and summaries of relevant research papers.

- Event context: AI Tinkerers Chicago - Inaugural Meetup — 2023-10-04 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_Ugm8bHxP7qo

## Related Technologies

- [Claude 100k](https://aitinkerers.org/technologies/claude-100k) ([Markdown](https://aitinkerers.org/technologies/claude-100k.md)) — 1 public demo
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [OSX Notes](https://aitinkerers.org/technologies/osx-notes) ([Markdown](https://aitinkerers.org/technologies/osx-notes.md)) — 1 public demo
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos