I wrapped the Zorks with an LLM
Details
- External ID
- 46786618
- Source
- HN
- Company
- —
- Product
- I wrapped the Zorks with an LLM
- Website domain
- tambo.co
- Launched
- Jan. 27, 2026
- Cohort
- —
- Upvotes
- 111
- Upvotes percentile
- 0.9077733860342556
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I grew up on the Infocom games and when microsoft actually open-sourced Zork 1/2/3 I really wanted to figure out how to use LLMs to let you type whatever you want, I always found the amount language that the games "understood" to be so limiting - even if it was pretty state of the art at the time.So I figured out how to wrap it with Tambo.. (and run the game engine in the browser) basically whatever you type gets "translated" into zork-speak and passed to the game - and then the LLM takes the game's output and optionally adds flavor. (the little ">_" button at the top exposes the actual game input)What was a big surprise to me is multi-turn instructions - you can ask it to "Explore all the rooms in the house until you can't find any more" and it will plug away at the game for 10+ "turns" at a time... like Claude Code for Zork or something
Enrichment
- Theme
- Vertical
- Media & entertainment
- Function
- Agent / copilot
- Audience
- B2C
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- llm-powered interactive fiction
- Manually corrected
- False
Could you build this?
Yes Translating freeform user inputs into valid Infocom Z-machine command verbs and actions using an LLM API wrapper over an open-source Z-machine interpreter is easily achievable via prompt engineering and glue code.
Discussion
20 comments analyzed.
Concerns raised: Parser too rigid, narrow puzzle constraints, Certain actions blocked (can't burn letter with matches, can't tear paper), LLM confusion with complex spatial commands
Feature requests: Local/offline version with BYOM (Bring Your Own Model) variant, Improved parser (Z8 over V5), Better explanations for why actions fail
Competitors
Other products that read as similar to this one — 165 launches clear the similarity bar, closest 8 shown.
Attention rank: #18 of 166 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 90 days after the earliest competitor.
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- 18 Words, Zanagrams and Sunflowers Are Now PZL Games · hn · 2026-08-28 · 8 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.