SKU: 83329073108

Burgundy Green Garden Wedding Invitation Suite Canva Template

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Description

Burgundy Green Garden Wedding Invitation Suite Canva TemplateCreate an elegant and timeless first impression with this soft colors whimsical Wedding Invitation Canva Template. Designed with beige and black tones and delicate minimal line art, this editable invitation suite is perfect for modern, botanical, or minimalist weddings. This is a digital, editable Canva template, allowing you to personalize your wedding invitations easily and professionally no design experience required. MATCHING WEDDING WEBSITE :

Create an elegant and timeless first impression with this soft colors whimsical Wedding Invitation Canva Template.
Designed with beige and black tones and delicate minimal line art, this editable invitation suite is perfect for modern, botanical, or minimalist weddings.

This is a digital, editable Canva template, allowing you to personalize your wedding invitations easily and professionally — no design experience required.

MATCHING WEDDING WEBSITE : https://ninety4studio.com/products/floral-canva-wedding-website-template-with-rsvp-digital-wedding-invitation

✨ What’s Included

✔ Save the Date
✔ Wedding Invitation
✔ RSVP Card (2 versions)
✔ Details Card

(All designs are fully editable in Canva)

Why You’ll Love It

• Modern minimal line art design
• Soft burgundy color palette
• Fully editable text, fonts
• Printable at home or via professional print shop
• Instant download – edit and print anytime

𝗖𝗔𝗡𝗩𝗔 𝗧𝗘𝗠𝗣𝗟𝗔𝗧𝗘
This is an editable template, that you edit yourself on the Canva website (phone/tablet editing is available - computer is recommended). Edit, download and print yourself, or send via text or email to your guests.
No printed items are included - you do the printing yourself.
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𝗜𝗡𝗖𝗟𝗨𝗗𝗘𝗗
• Invitation 5x7"

• Save the Date 5x7"

• Details 4x5"

• Rsvp 5x3.5 "


**Size cannot be changed**
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𝗪𝗛𝗔𝗧 𝗜𝗦 𝗘𝗗𝗜𝗧𝗔𝗕𝗟𝗘
✅ Text - edit, add more, delete, move, resize, rotate, colours, fonts. All wording is editable - can be used for any event
✅ Photos/Images/QR codes - can be uploaded to any file
✅ Backgrounds - change to any colour.

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𝗪𝗛𝗔𝗧 𝗜𝗦 𝗡𝗢𝗧 𝗘𝗗𝗜𝗧𝗔𝗕𝗟𝗘
❌ Size & orientation
❌ Graphics
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𝗛𝗢𝗪 𝗧𝗢 𝗣𝗨𝗥𝗖𝗛𝗔𝗦𝗘
1. Add items to cart & check out
2. Check your email and download the PDF that contains your download link/s.
3. Follow link, create a free Canva account (or log in) and edit your template. Come back any time to re-edit.
4. Download & print yourself, print through Canva or have it printed professionally
**PLEASE MAKE YOU ARE LOGGED IN WITH THE CORRECT EMAIL ADDRESS, AS THIS IS WHERE THE DOWNLOAD IS SENT. IF YOU USE APPLE ID, YOUR EMAIL MAY GET BLOCKED, IN THIS CASE PLEASE ACCESS THE DOWNLOAD FROM ‘PURCHASES AND REVIEWS’ ON THE ESTY WEBSITE**
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𝗗𝗢𝗪𝗡𝗟𝗢𝗔𝗗𝗜𝗡𝗚 𝗙𝗢𝗥𝗠𝗔𝗧𝗦
• PDF: Best for printing
• JPEG: Best for texting or emailing (or photo labs)
• Optional crop marks & bleed (PDF only)

*𝘊𝘢𝘯𝘷𝘢 𝘥𝘰𝘦𝘴 𝘯𝘰𝘵 𝘰𝘧𝘧𝘦𝘳 𝘗𝘚𝘋, 𝘈𝘐, 𝘐𝘕𝘋𝘋, 𝘚𝘝𝘎 𝘰𝘳 𝘞𝘰𝘳𝘥 𝘧𝘪𝘭𝘦𝘴. 𝘗𝘭𝘦𝘢𝘴𝘦 𝘥𝘰 𝘯𝘰𝘵 𝘱𝘶𝘳𝘤𝘩𝘢𝘴𝘦 𝘪𝘧 𝘺𝘰𝘶 𝘸𝘢𝘯𝘵 𝘵𝘰 𝘦𝘥𝘪𝘵 𝘶𝘴𝘪𝘯𝘨 𝘢 𝘱𝘳𝘰𝘨𝘳𝘢𝘮 𝘰𝘵𝘩𝘦𝘳 𝘵𝘩𝘢𝘯 𝘊𝘢𝘯𝘷𝘢*
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𝗣𝗥𝗜𝗡𝗧𝗜𝗡𝗚
We recommend:
• Invitations - full sheet of cardstock, 300gsm/110lb
• Invitation Envelopes - A7 (5.25x7.25")


𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗣𝗿𝗶𝗻𝘁𝗶𝗻𝗴

Print directly through Canva, or places such as OfficeMax, Staples, Walgreens etc. (US) or Officeworks (AUS). You can print anywhere that accepts 5x7" size files (JPEG or PDF), ask what file type they require and you may need to add the bleed. You can also print anywhere that prints US letter or A4 "Documents". You can then pay to have them cut or cut them yourself.
**𝘝𝘪𝘴𝘵𝘢𝘱𝘳𝘪𝘯𝘵 𝘋𝘖𝘌𝘚 𝘕𝘖𝘛 𝘰𝘧𝘧𝘦𝘳 5𝘹7" 𝘱𝘳𝘪𝘯𝘵𝘪𝘯𝘨**
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𝗦𝗘𝗡𝗗𝗜𝗡𝗚 𝗩𝗜𝗔 𝗧𝗘𝗫𝗧 𝗠𝗘𝗦𝗦𝗔𝗚𝗘/𝗘𝗠𝗔𝗜𝗟
After editing your file, you can download it as a JPEG and send it to your phone to text message or email it to your guests. To get it onto your phone, you can use Airdrop (on a Mac) or you can email it to yourself, then open the email attachment on your phone and save it. Make sure you email it at full quality/size and not reduced.
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𝗚𝗢𝗢𝗗 𝗧𝗢 𝗞𝗡𝗢𝗪
• No download limits or expiration dates
• The templates are edited on the Canva website, you need to create a free account to save and download the template.
• If you need a new copy, just click the download link again
• For viewing your PDF, you need a PDF reader installed on your computer. Adobe Acrobat Reader can be downloaded for free: https://get.adobe.com/reader/
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𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗨𝗣𝗣𝗢𝗥𝗧
We can offer limited support for downloading your items. If you need technical support for your computer or the Canva website, please get in contact with their tech support.
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𝗖𝗨𝗦𝗧𝗢𝗠 𝗢𝗥𝗗𝗘𝗥𝗦
We don't offer any customisations (𝙖𝙣𝙙 𝙨𝙩𝙧𝙞𝙘𝙩𝙡𝙮 𝙉𝙊 𝙎𝙄𝙕𝙀 𝘾𝙃𝘼𝙉𝙂𝙀𝙎) and we don't offer an editing service sorry.
Please do not purchase if you need a different size.
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𝗥𝗘𝗙𝗨𝗡𝗗 𝗣𝗢𝗟𝗜𝗖𝗬
As all of our items are ‘instant’ we do not offer any refunds, exchanges or returns. Please send us any enquiries prior to purchasing and we will get back to you ASAP.
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𝗧𝗘𝗥𝗠𝗦 𝗢𝗙 𝗨𝗦𝗘
Our products are for PERSONAL USE ONLY.
You may not resell, share, distribute, or transfer the templates to any third party. STRICTLY NO COMMERCIAL USAGE, RE-SALE OR ALTERATIONS ON ANY OF OUR PRODUCTS IS PERMITTED. WE DO NOT PERMIT ANY USAGE OF OUR PRODUCTS BY OTHER BUSINESSES (such as event planners etc.). Commercial use of these products, designs and graphics in any way will be considered a copyright violation we will take legal action against any parties in breach of our copyright.

Ninety4 studio

Shipping Notes
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Exchange/Return Notes
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SKU: 83329073108

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4.9 ★★★★★
Based on 9 reviews
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J
Verified Purchase
Jenny Holden
Los Angeles, US
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
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Reviewed in the United States on February 17, 2026
D
Verified Purchase
David Escobar
New York, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Birmingham, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Natrona Heights, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
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Reviewed in the United States on May 20, 2026
U
UA
Waukegan, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026

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