What is square foot gardening? A simple, unique and versatile system that adapts to all levels of experience, physical ability, and geographical location. Grow all you want and need in only 20% of the space of a conventional row garden. Save time, water, work and money! I am following the square foot gardening method, and I'll be using it as a reference through out the blog. Square foot gardening invented by the genius Mel Bartholomew! Learn more about it in his website , Or order his very very valuable book. It may come in downloadable PDF files too, if you search. 
Here are the 10 things that make SFG different from traditional row gardening:
- Layout. Arrange your garden in squares, not rows. Lay it out in 4′x4′ planting areas. Companion plants can help each other grow bigger and tastier!
- Boxes. Build boxes to hold a new soil mix above ground. Your existing soil doesn't matter! forget about it, and just worry about the new soil called Mel's Mix.
- Aisles. Space boxes 3′ apart to form walking aisles. It makes it easier to walk and sit around the boxes, especially when your plants get really big and spill out of the boxes a little.
- Soil. Fill boxes with Mel’s special soil mix: 1/3 blended compost (please please make your own! The compost sold in Kuwait is a little shady) , 1/3 peat moss, and 1/3 coarse vermiculite (All available in True Value).
- Grid. Make a permanent square foot grid for the top of each box. A MUST!
- Care. NEVER WALK ON YOUR GROWING SOIL. This is how the soil stays so fluffy and airy for the roots stay happy. Tend your garden from the aisles.
- Select. Plant a different flower, vegetable, or herb crop in each square foot, using 1, 4, 9, or 16 plants per square foot. You might, for example, plant a single tomato in a square, but you’d plant 16 carrots in another. Using this system, you can cram a lot of garden into a small space and still get excellent yields.
- Plant. Conserve seeds. Plant only a pinch (2 or 3 seeds) per hole. Place transplants in a slight saucer-shaped depression. This means you wont waste seeds! The traditional way is to plant lots of seeds then cut off the majority and leave the strongest.
- Water. Water by hand from a bucket of sun-warmed water.
- Harvest. When you finish harvesting a square foot, add only compost and replant it with a new and different crop.
I decided how big of an area I want to use, I am placing my SFG on the roof of my house, which I made sure received at least 8 hours of full sun. I am going big and starting with lots of boxes. So after thorough planning I decided I want two 4x4 square foot boxes (which is the standard) two smaller boxes for root vegetables like carrots and potatoes, and one long box for herbs. You can download the guide I created for the carpenters here . Its not the most accurate illustration of what the boxes look like in the end, but the numbers are right.
You can change the measurements how ever you like, most importantly, you have to make sure each square is 1ft squared in size= 30 cm. Also Most vegetables require 6 inches of soil, I've decided to use around 20cm. If the boxes are placed over a garden/soil, they don't need bottoms. In my case, I have to apply bottoms since they're going to be in the roof. The bottoms are waterproof 2cm thick plywood. The plywood has to have around 0.6 cm holes drilled in each square, plus in the corners. My boxes have weird squares in the plywood because the carpenter mistook 0.6cm for huge 6cm holes, I had them fix them without problems. Potato/Carrot beds: 
One of the 4x4' beds with the herb bed: 
You can of course build your own boxes, and a very detailed guide is in the book. Im sure its much more fun.I don't have the skill or time, so I had the boxes done for 50KD total, 30 for the wood and 20 for the building. The work was done by Ibrahim in Classic Design Carpentry : 
Don't forget, you can collect sawdust for free and use it as a carbon source in your compost! Maybe I'll paint the outsides of the boxes with the kids before the season starts, what do you think?
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Tbilisi, Georgia — Jailed journalist Mzia Amaghlobeli gets weaker every day as her hunger strike has reached three weeks in Rustavi, a town near the Georgian capital of Tbilisi, her lawyer says. Now the 49-year-old is having difficulty walking the short distance from her cell to the room where they usually meet, and human rights officials, colleagues and family fear for her life.
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Amaghlobeli was arrested Jan. 12 during an anti-government protest in the coastal city of Batumi, one of over 40 people in custody on criminal charges from a series of demonstrations that have hit the South Caucasus nation of 3.7 million in recent months.
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The political turmoil follows a parliamentary election that was won by the ruling Georgian Dream party, although its opponents allege the vote was rigged.
Protests highlight battle over Georgia’s future. Here’s why it matters.
Its outcome pushed Georgia further into Russia’s orbit of influence. Georgia aspired to join the European Union, but the party suspended accession talks with the bloc after the election.
As it sought to cement its grip on power, Georgian Dream has cracked down on freedom of assembly and expression in what the opposition says is similar to President Vladimir Putin’s actions in neighboring Russia, its former imperial ruler.
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The artificial intelligence contact center landscape is undergoing unprecedented transformation as businesses employ state-of-the-art technologies to transform customer service operations. Modern AI-powered contact center solutions are reshaping how organizations offer outstanding customer experiences while enhancing operational efficiency and cutting costs.
Exploring AI-Powered Contact Centers
An AI-driven contact center embodies the development from conventional call centers to AI-enhanced contact center solutions that merge human expertise with advanced artificial intelligence. These machine learning contact center solutions harness sophisticated algorithms to enhance processes, enhance agent capabilities, and offer individualized customer interactions at scale.
NLP serves as the backbone for current contact center operations, empowering systems to analyze, translate, and answer to customer communications across various channels. Conversational AI technologies power everything from fundamental chatbots to sophisticated AI agents equipped of handling complex customer inquiries with human-like intelligence.
Core AI Technologies Driving Contact Center Innovation
Sophisticated AI Capabilities
Generative AI contact center solutions leverage Large Language Models (LLM) to develop dynamic, appropriate responses that conform to each customer’s particular situation. Advanced ML algorithms examine enormous amounts of interaction data to perpetually improve system performance and accuracy.
Image recognition technology and speech recognition support effortless omnichannel experiences, while real-time transcription capabilities supply immediate insights into customer conversations. Speech analytics tools evaluate voice patterns, tone, and sentiment to offer extensive understanding of customer emotions and intent.
Intelligent Automation Features
Robotic Process Automation (RPA) streamlines repetitive tasks, liberating human agents to focus on challenging problem-solving. AI chatbots and intelligent virtual agents (IVA) provide always-available customer support, processing routine inquiries with remarkable accuracy and efficiency.
Predictive modeling algorithms forecast customer behavior, supporting proactive service delivery and challenge resolution. These systems evaluate historical data patterns to forecast customer needs before concerns arise, developing truly proactive customer support experiences.
Boosting Customer Experience Through AI
Customization and Intelligence
Intelligent customer service solutions deliver hyper-personalization by analyzing customer background, preferences, and behavior patterns. Goal detection and emotion detection capabilities facilitate systems to understand not just what customers are communicating, but how they’re feeling, allowing for appropriate response adjustments.
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Intelligent call routing systems analyze customer information, agent skills, and current workload to ensure optimal connection strategies. Intelligent routing evaluates factors like customer value, request complexity, and agent expertise to maximize FCR rates.
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Contact center ROI from AI implementation usually includes considerable cost reduction AI through automation and efficiency gains. Organizations achieve considerable advances in business effectiveness and productivity gains within weeks of deployment.
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Flexibility and Growth
Scalability solutions facilitate companies to accommodate increasing interaction handling without proportional increases in staffing costs. Revenue optimization occurs through superior customer retention, enhanced sales conversion rates, and enhanced cross-selling opportunities.
Performance enhancement provides consistent performance even during high demand periods. Response time reduction across all channels builds market advantages in customer service delivery.
Technical Infrastructure and Integration
Internet-Based Architecture
Today’s cloud-based contact center solutions provide the versatility and expansion potential essential for AI implementation. Contact Center as a Service (CCaaS) offer extensive functionality without substantial upfront infrastructure investments.
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Retail customer service AI improves inventory inquiries and purchase support, while communication provider automation manages technical support and service provisioning. Online retail assistance manages order management and delivery inquiries with precision.
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AI ethics aspects shape appropriate implementation of artificial intelligence in customer service environments. Data privacy protection measures ensure customer information continues to be confidential throughout all interactions.
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AI deployment demands detailed planning and progressive implementation to provide proper adoption. Technology connectivity must consider existing technology investments and organizational workflows.
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Digital evolution initiatives must incorporate thorough change management strategies to maintain user adoption. System transition from traditional systems needs meticulous planning and execution to reduce disruption.
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Communication Channels and Multi-Modal Support
Complete Channel Coverage
Voice AI persists to be the backbone of contact center operations, improved by sophisticated speech recognition and natural language understanding. Chat automation provides instant responses to written customer inquiries across web platforms and mobile applications.
Electronic mail automation systems organize, order, and often answer to customer emails independently. Social network intelligence watches brand mentions and responds to customer concerns across platforms like Facebook, microblogging sites, and LinkedIn.
Mobile messaging automation enables rapid resolution of easy inquiries through text messaging. Visual assistance automation analyzes visual information to offer technical assistance and troubleshooting guidance.
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Cross-channel intelligence maintains context as customers transition between different communication methods. Channel optimization maintains customers connect through their selected communication channels for best satisfaction.
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Advanced Quality Monitoring
Intelligent quality control assesses every customer interaction against predefined quality standards and best practices. Intelligent development supplies immediate feedback to agents based on real-time performance analysis.
Performance benchmarking compares specific and team performance against business standards and organizational goals. Quality scoring automation provides standardized evaluation criteria across all interactions and agents.
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Coaching recommendations provide tailored development plans for each agent based on their unique strengths and improvement opportunities. Competency analysis discovers training needs and career development paths.
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AI-driven automation will continue increasing to address progressively complex scenarios, while human agents focus on important activities calling for emotional intelligence, inventiveness, and intricate problem-solving. The effect will be contact center operations that supply outstanding customer experiences while reaching superior business outcomes.
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