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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‘The most ridiculous thing I’ve ever seen’: Resurgent Rory McIlroy left incredulous after bizarrely hitting two balls at once
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As the latest inductee into one of sport’s most exclusive clubs, there is little that grand slam champion Rory McIlroy has not seen in the game of golf. Then, just past the halfway mark of his Open Championship third round on Saturday, he swung.
Enjoying an excellent day in front of a vociferous home support at Royal Portrush in Northern Ireland, the 36-year-old found himself in a spot of bother when his tee shot at the par-four 11th curved into the rough on the right of the fairway.
The “Oh my God” that followed the subsequent swipe of his wedge was McIlroy’s response to his effort falling short of the green, but the world No. 2’s attention quickly turned to the ball, somehow, at his feet.
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Miraculously, his swing had inadvertently popped up a second ball submerged below his played one in the Dunluce Links soil.
“Oh my goodness … That’s got to be a first hasn’t it?” exclaimed three-time Open winner Nick Faldo on the Sky Sports Golf broadcast.
“He was very fortunate to miss the ferns and the wild rose bushes but then he lands on an old golf ball … what a story.”
McIlroy evidently saw the funny side, holding aloft the hidden treasure with an incredulous smile even as he watched his actual shot trickle away from the green before tossing it into a nearby bush.
After the round, McIlroy said he “honestly” didn’t know what happened on the 11th.
“That is the most weird, ridiculous thing I’ve ever seen. Then my ball came out really weird and spinny. Yeah, just so strange.”
‘One of the largest roars I’ve ever heard on a golf course’
Though a first bogey of the round followed, the five-time major winner immediately responded in stunning fashion to reignite a day he had begun with three birdies in four holes.
Just over 56 feet away from the par-five 12th cup, he knocked a perfectly weighted putt that rolled for more than 10 seconds before dropping in for eagle and sparking rapturous scenes in the stands behind him.
“It’s one of the largest roars I’ve ever heard on a golf course,” he remarked later.
It was the undoubted personal highlight of a day that saw McIlroy, born some 60 miles away in the small town of Holywood, keep his dream of a fairytale home Open win alive, as a five-under 66 lifted him to eight-under par overall.
That left him six strokes adrift of leader Scottie Scheffler: one shot closer than at the start of Saturday but still surely requiring an even greater performance if he is to lift his second Claret Jug.
“He’s playing like Scottie. I don’t think it’s a surprise … He’s just so solid, he doesn’t make mistakes,” McIlroy said.
“He’s turned himself into a really consistent putter as well. So there doesn’t seem to be any weakness there. Whenever you’re trying to chase down a guy like that, it’s hard to do.”
Whatever the outcome, McIlroy has banished the demons of a tearful missed cut when the major returned to Royal Portrush for the first time in 68 years in 2019.
The 29-time PGA Tour winner has enjoyed phenomenal support all week on the Causeway Coast, with chants of “Rory, Rory, Rory” ringing out through rain and shine, even after a steady start of 70 and 69.
‘Absolutely incredible out there. The atmosphere has been electric all day,” McIlroy told Sky Sports.
“An absolute pleasure to play in front of my home crowd, my fans. I’ve tried my best. I try my best every week, but I’m really just trying to hang in there and stay in it.”
In an era where customer expectations continue to grow, businesses are realizing that conventional contact center approaches don’t work. The arrival of AI-powered contact center technology has created unprecedented opportunities for organizations to rethink their customer service delivery models. This thorough analysis explores how intelligent contact center solutions are revolutionizing the customer experience landscape while providing measurable business outcomes.
The Development of Customer Service Technology
The change from traditional call centers to sophisticated contact center solution platforms signifies more than a system upgrade—it demonstrates a core transformation of customer engagement strategies. Modern AI customer service platform implementations include complex intelligent learning customer support algorithms that continuously improve and enhance based on interaction patterns and outcomes.
Natural language processing contact center capabilities have arrived at a advancement level where systems can participate in complicated conversations, grasping nuanced customer requests and responding with suitable solutions. This technical progress permits organizations to supply steady, outstanding service while lowering operational overhead and boosting agent satisfaction.
System Infrastructure and Capabilities
Intelligent Learning and Analytical Systems
State-of-the-art predictive analytics engines create the intellectual foundation of modern contact center operations. These systems assess historical interaction data, customer behavior patterns, and external factors to forecast service demands and improve resource allocation. The integration of audio analysis technology provides instant data into conversation dynamics, enabling supervisors to help anticipatorily when customer satisfaction indicators reveal potential escalation.
Sentiment analysis capabilities go beyond basic keyword detection, integrating vocal tone analysis, conversation pacing, and linguistic patterns to deliver extensive emotional intelligence. This sophisticated mood identification technology permits contact centers to answer sensitively to customer needs while preserving operational efficiency.
Advanced Automation and Workflow Optimization
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The basis of effective operations centers on advanced automatic routing algorithms that examine several variables when guiding customer interactions. These smart routing systems evaluate agent skills, ongoing workload, customer priority levels, and historical interaction success rates to ensure optimal pairing of customers and representatives.
Chatbot platform integration has changed the customer service landscape by permitting intelligent independent service capabilities. These systems can handle sophisticated multi-step processes, verify customers securely through voice biometrics, and provide real-time transcription services that increase both quality control and regulatory oversight efforts.
Advanced scheduling tools constantly analyze performance metrics and adjust staffing recommendations based on expected demand patterns. This responsive approach to resource management ensures optimal service levels while minimizing operational costs.
Customer Experience Enhancement Strategies
Personalization Through Technology
The foundation of exceptional customer experiences centers on the ability to offer tailored engagement that consider specific preferences, profile, and context. Complex experience enhancement systems track interactions across all touchpoints, building extensive profiles that enable agents to offer knowledgeable, appropriate support.
Intent detection technology has evolved to understand not just what customers are saying, but what they’re attempting to achieve. This understanding facilitates adaptive dialogue that adapts conversation flow based on customer goals and emotional state, ensuring more productive problem resolution.
Anticipatory Service Delivery
Anticipatory service embodies a paradigm shift from reactive service models to proactive support systems. AI-powered platforms observe customer behavior indicators and can initiate outreach when probable issues are discovered, often resolving problems before customers are aware they exist.
The implementation of automated redirection strategies facilitates organizations to guide basic inquiries to automated systems while verifying sophisticated issues obtain proper human attention. This approach commonly generates improved first-call resolution rates and higher overall service quality improvement.
Smooth transition protocols provide that when customers do need human assistance, the transition from automated to human support keeps conversation context and eliminates the need for customers to duplicate information.
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Operational Excellence Through Intelligence
Performance and Performance Management
Automated quality assurance systems constitute a significant advancement over conventional monitoring approaches. These systems can assess all of customer interactions against defined criteria, providing comprehensive feedback to agents and supervisors while discovering trends and training opportunities.
Real-time coaching capabilities enable supervisors to supply instant guidance during current conversations without disrupting the customer experience. This approach substantially enhances agent performance while maintaining service quality standards.
Performance analytics dashboard implementations deliver extensive visibility into individual and team metrics, enabling analytical management decisions and strategic planning. These systems follow KPIs while identifying optimization opportunities across all operational areas.
Standards compliance and Risk Management
Compliance monitoring capabilities integrated into modern AI contact centers help organizations uphold regulatory requirements across multiple industries. These systems immediately identify possible compliance violations, keep comprehensive audit trails, and provide complete reporting capabilities for regulatory oversight.
Audio recognition technology executes dual purposes, offering security through biometric authentication while enabling accurate documentation of customer interactions. This dual functionality boosts both security protocols and quality control processes.
Flexibility and Integration Considerations
Web-based Architecture Gains
Cloud-hosted contact center platforms deliver remarkable scalability and agility compared to conventional on-premises solutions. Organizations can swiftly change capacity based on demand fluctuations without considerable infrastructure investments, allowing affordable growth and seasonal adaptation.
The implementation of cloud-based solutions supports thorough modernization initiatives by allowing fluid integration with current business systems. This connectivity allows live data sharing across departments, improving total organizational productivity and customer insight development.
Multi-channel Service Delivery
Multi-channel intelligence delivers consistent customer experiences irrespective of communication channel preference. Whether customers connect through voice, email, chat, social media, or mobile applications, smart systems retain conversation context and records, building effortless experiences across all touchpoints.
The integration of multiple communication channels under cohesive platforms enables organizations to offer consistent service quality while gathering extensive customer intelligence that influences future service improvements and product development.
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Strategic Business Impact
Cost Enhancement and Efficiency Gains
The implementation of AI-powered contact centers generates substantial cost reduction through advanced automation of routine processes and enhanced operational productivity. Organizations typically experience minimized call handling times, better agent productivity, and reduced training costs due to improved support tools and automated coaching systems.
Scalable support solutions permit organizations to handle volume fluctuations without corresponding staffing increases, offering financial flexibility during peak periods and economic downturns. This versatility is particularly useful for organizations encountering rapid growth or seasonal demand variations.
Performance Improvement and Growth
Agent productivity tools included in AI platforms allow representatives to prioritize complicated, critical interactions while automated systems process basic inquiries. This concentration results in enhanced job satisfaction, decreased turnover, and better customer outcomes for complex service requirements.
The blend of automated assignment, intelligent quality control, and complete analytics builds an environment where both personal and organizational performance consistently improve. Many organizations demonstrate considerable increases in customer satisfaction scores and operational productivity metrics within the first year of implementation.
Implementation Strategy and Change Management
Planning and Preparation
Effective AI contact center implementations require extensive planning that addresses technological, operational, and human factors. Organizations must systematically examine their established systems, establish clear objectives, and design detailed migration strategies that minimize service disruption.
Data migration strategies must ensure customer information security while permitting AI systems to obtain the previous data needed for optimal performance. This compromise between security and functionality necessitates detailed planning and implementation oversight.
Training and Adoption
Agent training programs must address both system competencies and new workflow processes. The transition to AI-enhanced environments requires agents to develop new skills while adapting to enhanced tools and capabilities.
Change management strategies should acknowledge that AI implementation embodies a important organizational transformation that impacts several stakeholders. Effective implementations usually include extensive communication plans and gradual rollout approaches that permit for system optimization and staff adaptation.
Future Technology Trends
New Capabilities
The continued progress of ML algorithms promises even more intelligent customer service capabilities. As these systems manage more interactions, their reliability and effectiveness continue to advance, forming progressively intuitive and helpful customer experiences.
Sophisticated NLP developments are facilitating more sophisticated conversation capabilities, with systems becoming more skilled at understanding context, emotion, and complex requests. These improvements are making AI interactions increasingly indistinguishable from human conversations.
Strategic Positioning
Organizations that put money into AI-powered contact center technology set themselves strategically for future market conditions. As customer expectations maintain to change and competition intensifies, the ability to offer excellent service while sustaining cost economy becomes continually vital for lasting success.
The integration of new technologies such as sophisticated analytics, intelligent learning, and intelligent systems forms opportunities for organizations to set apart themselves through exceptional customer experiences while maximizing operational costs.
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Return on Investment Analysis
Quantifiable Benefits
The investment in AI-powered contact center technology generally generates good returns through various channels. Straightforward cost savings from automation and performance improvements, merged with revenue benefits from increased customer satisfaction and retention, build convincing business cases for implementation.
Organizations often experience decreases in operational costs, improvements in customer satisfaction metrics, and enhanced competitive positioning. These benefits accumulate over time as systems become more advanced and organizational capabilities advance.
Enduring Value Creation
Beyond instant operational improvements, AI-powered contact centers enable organizations to collect valuable customer intelligence that informs product development, marketing strategies, and business planning initiatives. This strategic value often exceeds the straightforward operational benefits of implementation.
The adaptability and flexibility of AI-powered systems guarantee that initial investments continue to offer value as organizations expand and evolve. This long-term perspective makes AI contact center implementation a strategic investment in future organizational capabilities.
Conclusion
The implementation of AI-powered contact center technology embodies a strategic opportunity for organizations to revolutionize their customer service operations while accomplishing substantial operational and financial benefits. By using cutting-edge technologies such as machine learning, NLP, and sophisticated automation, organizations can form superior customer experiences while enhancing costs and enhancing efficiency.
Success in AI contact center implementation necessitates careful planning, complete change management, and commitment to sustained optimization. Organizations that address this transformation strategically set themselves for lasting competitive advantage in an more and more demanding marketplace.
As customer expectations continue to change and technology capabilities advance, AI-powered contact centers will become more and more crucial for organizations looking to maintain competitive positioning while offering remarkable customer experiences. The time for strategic planning and implementation is now, as early adopters will obtain major advantages over organizations that postpone this essential transformation.
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