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NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20NANOLITE — Nano Banana 2 Lite is here: Google's fastest and most cost-efficient Gemini Image model, made for running lightweight image generation cheaplyOMNIFLASH — Gemini Omni Flash is in public preview, a natively multimodal model that lets enterprises and developers build custom, dynamic video workflowsAGENTS — Managed Agents expand with background: true for async server-side runs and polling, remote MCP server integration, and refreshing credentials across interactionsMEMORY — The Memory Bank IngestEvents API is generally available, decoupling event ingestion from memory generation so you can stream content continuouslyTHROUGHPUT — Provisioned Throughput now lets you submit up to seven pending orders for the same model and regionDEPRECATE — Image generation models shut down on August 17, and the Grok 4.1 family on the Gemini Enterprise Agent Platform on August 20
Articles/Gemini Basics
Gemini Basics/2026-05-02Intermediate

Gemini Gems Custom Instructions 2026 — From Design Philosophy to 10 Ready-to-Use Templates

A thorough guide to designing custom instructions for Google Gemini Gems — covering design principles, character limits, 10 production-ready templates, and operational pitfalls.

Gemini Gems5custom instructions4prompt engineering5Google Gemini2premium4

Premium Article

"What's the actually-effective way to write custom instructions for Gemini Gems?" comes up often. The Gems feature — letting you give Gemini a custom persona and specialized knowledge — has the power to genuinely transform daily workflows, but template-style instructions don't get Gemini operating at its real capability.

I've run multiple Gems across different contexts: indie development, article writing, art-related work. Through trial and error, I've landed on design patterns I'm confident about. This article systematizes them.

The depth and the 10 ready-to-use templates take this beyond what fits in a free article, so it's structured as a premium piece. Aimed at people seriously using Gemini and at those wanting to integrate multiple Gems into their workflows.

What Gems Custom Instructions Are — Understanding the Design

Gems is Google Gemini's mechanism for persisting custom system prompts. Once you set instructions like "always assume this context" or "answer with reference to these specific documents," that Gem applies them automatically every time you select it.

Functionally similar to ChatGPT's Custom GPTs, but Gemini Gems has distinguishing features. The biggest is the integration depth with Knowledge Files (referenced documents) and Tools (callable utilities). Within a Gem, you can have Gemini reference uploaded PDFs or Google Drive documents, or chain it with Gemini API tools — going beyond simple prompt templates.

What I personally emphasize is separating "persona," "expertise," and "constraints" as three distinct axes. Most Gems break down because authors mix these into a single jumbled prompt. Writing them in clean separation dramatically improves Gemini's response quality.

Actually Creating a Gem — The Minimal Steps

Once the design mindset clicks, the fastest way forward is to actually build one. No elaborate setup required.

Open the Gems dashboard and sign in with your Google account. Use the button to create a new Gem and pick a blank one to start.

First you set a name and description. Make the name concrete enough that you never hesitate when picking it — "English Learning Assistant," "Code Review Partner." One sentence is plenty for the description. Both are editable later, so don't overthink them here.

The body goes in the custom-instructions field. Lay out the three axes from earlier — persona, expertise, constraints — in order of importance, top first. Save, then run a single test question on the spot to confirm it behaves as intended. If something feels off, tune it while reading the "Character Limits and Structure" section next.

The template collection further down is formatted to paste straight into this field. Build one Gem first, then read on — each template's intent lands more clearly once you've made one yourself.

Thank you for reading this far.

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What follows includes implementation code, benchmarks, and practical content we hope you'll find useful. This site runs without ads — server and development costs are supported entirely by members like you. If it's been helpful, we'd be truly grateful for your support.

WHAT YOU'LL LEARN
Gems custom instruction design philosophy compared with Google AI Studio system instructions
10 high-quality, production-ready Gems prompt templates that work as-is
Character limits, update gotchas, multi-Gem strategy, and a troubleshooting playbook
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