Here’s a quick challenge. Paste a prompt about plants, rings, and roots into your favorite AI, then ask it a question that has nothing to do with gardening. Watch what happens to the answer. Ready? 🌱
A Redditor on r/PromptEngineering shared something called The Seed Prompt. It’s a long block of instructions that teaches the model to describe everything through the parts of a seed: germ, coat, heart, soil, root, sprout, tree, fruit, and the seed again. It’s weird. It’s poetic. And it’s worth a test, because a few of its rules are useful no matter what you think of the metaphor. You don’t have to buy the philosophy to borrow the mechanics. Think of it like trying a strange recipe: you might not love the dish, but you could walk away with a technique you’ll use for years.
🧪 The 60-Second Test
- Open a fresh chat with any model. Don’t use one with memory or custom instructions. Those can quietly color the answer, and you want a clean read on what the prompt itself does.
- Paste the full Seed Prompt from the original post. The last line asks the model to restate the pattern in its own words and then ask what you’re planting. Resist the urge to trim it on the first run. You’re testing the original, not your edited version.
- Read the restatement. Does it use the seed’s parts correctly, or does it just parrot your words back? A good sign is when the model explains the difference between the coat and the soil without copying the sentences from the prompt.
- Answer the question “what are we planting?” with something real, like a side project, a newsletter idea, or a messy work problem. Toy examples give toy results. Pick something you actually care about, even if it’s half-formed.
- Ask a follow-up where you say “I don’t know” about something. For example, “I don’t know who my audience is yet.” This is the important one, because it shows whether the model fills the gap with confident filler or tells you plainly that the gap exists.
Set a timer if you like. Most people finish all five steps in about a minute, plus a little reading time.
🔍 What Your Results Mean
If the model restates it clearly and maps your project onto germ, soil, and fruit, the metaphor is working as a lens. It’s giving you a structure to think inside. That’s useful for brainstorming and planning. You might see it ask what the germ of your idea is, meaning the smallest version that could still grow, and what soil it needs, like time, tools, or an audience. If those questions feel sharper than what you’d get from a normal chat, note that.
If the answer gets foggy and full of tree imagery but short on actual steps, the metaphor is eating the substance. That’s the risk with any big framework prompt. Pretty language can hide thin thinking. A quick gut check: could you hand the answer to a coworker and have them do something with it tomorrow? If not, the poetry won.
If the model flags what it doesn’t know instead of filling the gap, rule 7 is doing real work. “Words mean what they literally mean” and “say what you don’t know in plain words” are solid instructions. Honestly, they’d improve almost any prompt. Models love to sound sure of themselves, and anything that nudges them toward “I can’t tell from what you’ve given me” is worth keeping.
A quick reality check too. The post’s claim that the quantum is the seed and space is the soil is a metaphor, not physics. Treat it as a thinking tool. Don’t treat it as science, and don’t let the model present it as science either. If your chat starts quoting physics at you as if the seed idea were proven, push back and ask it to separate the analogy from the established facts.
💡 Extra Tips
- Steal the good parts. Rule 6 (“the record only grows”) is a great habit. Tell your AI to add new notes instead of rewriting old ones, and your long projects stay consistent. It also gives you a built-in history, so you can see how your thinking changed.
- Steal rule 8 too. “Recommendation first, my override always standing, check your own work before handing it over” is a clean working agreement. Drop it into any system prompt. It saves you from the long wind-up where the model lists five options and never picks one.
- Shorten it. The full prompt is long. Try keeping only rules 1, 7, and 8 and compare the output. If it feels about the same, you’ve found the part that matters. Longer prompts also use more of your context window, so a trimmed version leaves more room for the real work.
- Run an A/B test. Same question, one chat with the Seed Prompt, one without. Judge by usefulness, not by how profound it sounds. Write down one thing you could act on from each answer, then see which list is longer.
- Try a stress question. After the main test, ask something totally unrelated, like how to plan a budget or fix a slow spreadsheet. If every answer suddenly comes wrapped in roots and branches, the prompt is too heavy-handed for daily use and you should dial it back.
🏴☠️ Your Move
The original poster asked people to say honestly where it works and where it doesn’t. So do that. Run the test, find out what survives, and tell the community what you learned! Does the lens sharpen your thinking, or just decorate it?
Frequently Asked Questions
Q: Do I have to believe in the seed pattern to use it?
No. The pattern works more like a lens than a belief system. You can borrow the seed parts (germ, coat, heart, soil, root, sprout, fruit) to describe how something works, see whether the description holds up, and drop it when it stops helping.
Q: What do I do when I need a word that doesn’t exist yet?
Describe what the thing does using the seed’s parts instead of stalling. A living instruction that gets passed from one step to the next could be the germ, and the background details that shape it could be the soil. You can understand the idea first and name it later.
Q: How do you check your own work against the pattern?
Go through each part of your answer and ask whether it has a clear job in what you’re handing back. Is there a living core that the rest grows from, and do the two directions serve different purposes? Also check whether the result carries something useful forward, like a seed for the next step.
The Seed Prompt
by u/SurpriseDazzling6081 in PromptEngineering