An AI prompt that deciphers hermetic texts by translating symbols and their context taking into respect the context of the symbol and vice versa.
SPOILER ALERT: Only for scientific use!!!
DANGER: Don't use the content of this repository if you don't know what you are doing.
The results are mostly unsorted! They have been created with several different versions of the prompt.
prompt.txt contains the AI prompt
To decipher the complete text in a whole and not chapterwise, a 2MB context window of the AI (about 500.000 tokens) is required.
Agent mode is advised. Large books will be really expensive when using an API, they will be about 1500$-2500$. When using Visual Studio Code and Github Copilot Plus with a last-gen model (Opus 4.6 or GPT 5.4), this will be reduces to a few cents, but it won't be able to handle large books in a whole. Instead it will decipher the text chapterwise.
If you are bored and don't know hat to do, you could for instance try to change the prompt so it uses 7 iterations in an inner loop and 3 iterations in an outer loop, applying the new insights about archetypes from the inner loop to the original text in each outer iteration.
Instead you could also apply the new insights from archetypes after the last loop to the original text instead of applying it after each outer iteration, examining how it modifies it.
Modify the prompt and compare results. Instruct the AI to track iterations and modifications of archetypes per iteration for deeper insights and so on.
Another way would be ignoring the fixed loops and let them iterate until the system converges.
Try prompt_343_iterations_known_archetypes.txt and prompt_343_iterations_unknown_archetypes.txt for a 7³ steps system
You could also try prompt_magnus_opus_decipher.txt for decrypting hermetic texts the Magnus Opus style.
The version that does only work with known symbol meanings is prompt_magnus_opus_decipher_near_to_perfect.txt
For texts with lost meanings of the symbols, use prompt_lost_symbol_meanings.txt
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Deciphering hermetic texts is basically done by translating archetypes in their context according to their context into readable language, followed by updating their original meaning that results from this in a loop until convergence has been reached.
Google Translate helps.
This is EXPERIMENTAL!
License: the Attribution-NonCommercial-ShareAlike 4.0 International
(c) 2026 Dennis Michael Heine