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In today’s digital transformation era, AI agents and APIs are reshaping how businesses automate
workflows. By combining the autonomous decision-making of AI agents with the connective
power of APIs, organizations can streamline processes, reduce manual work, and enable
intelligent, adaptive operations.

In this article we will present and explain the implementation steps of how we at Ähdus
Technology are integrating agenting AI solutions within API workflows for some of our AI based
projects. In today’s time, every scaled product must be dealing with API driven product
development and this might be helpful for your software and AI teams to combine best strategies
together based on our experiences.

What are AI Agents?
Before we explore API workflows, let us first look into AI agents. AI agents are autonomous
software systems capable of perceiving their environment, reasoning, and taking actions without
continuous human input. They use techniques such as machine learning and natural language
processing (NLP) to interpret data, execute multi-step tasks, and learn from feedback. The future
belongs to AI Agents, every product will be having AI Agents, sooner or later.

Key Characteristics of AI Agents

Types of AI Agents
AI agents vary in complexity and functionality. Here’s a simplified classification:

Role of APIs in Automation
APIs (Application Programming Interfaces) are the backbone of digital connectivity. They allow
different software systems to communicate, enabling automation across multiple platforms. In the
context of AI agents, APIs serve two critical functions:

• Data Ingestion: AI agents rely on real-time data from various systems; databases, CRMs,
  social media, IoT devices; which is provided via APIs.
• Action Execution: Once an AI agent decides on an action, APIs allow it to interact with
  external systems (e.g., updating records, triggering workflows, or processing
  transactions).

Benefits of API-Driven Automation

Common Use Cases
AI agents integrated with APIs have wide-ranging applications. Here are some prominent use
cases:

Architecture Breakdown
Integrating AI agents with API workflows involves several layers; from data ingestion to
decision making and action execution. Below is a conceptual breakdown of the architecture.

Core Components

Conclusion
Integrating AI agents with API workflows creates a powerful synergy that automates complex
tasks by combining intelligent decision-making with robust data connectivity. The layered
architecture; from perception to execution, ensures that AI agents can dynamically interact with
their environment, process data, and execute actions autonomously. As businesses continue to
adopt these technologies, the role of APIs in bridging systems and enabling scalable automation
will become even more critical.
This fusion of AI and API-driven automation not only drives efficiency and innovation but also
opens up new possibilities for transforming business processes across various industries.

Islamabad-Munich, Ähdus Technology, a leading technology solutions provider, has announced a
strategic partnership with Gastimate Technologies GmbH, the future of gas management. This alliance
marks a significant milestone for Ähdus Technology and positions them as a Group Strategic Partner not
only with Gastimate Technologies GmbH but also with their parent company Camsol.io. Having
excellent, professional, and senior software developers, Ähdus Technology will collaborate closely with
Gastimate Technologies GmbH as their software development partner, we will contribute to their
innovation projects in the areas of Embedded and Mobile Applications.

About The Project:

• Implementation of Embedded Software Development for a core firmware software being used
  in GasVisor smart cylinder product, to calibrate all the required data input parameters used to
  calculate CO₂ in gas cylinders, we need to implement a firmware software which could be able
  to measure, calculate, and keep track of all the real time values in more than 25,000 gas cylinder
  devices.
• GasVisor App development using Flutter Technologies, we will design and develop the app
  together with other team members from GasVisor which will be the central point of information
  for all the stakeholders and end users in order to find out the CO₂ information directly from
  smart cylinder.
  
  About Gastimate Technologies GmbH:
  Gastimate Technologies GmbH offers GasVisor which is the future of Gas Management. Their patented
  IoT-enabled solution digitizes and automates CO₂ gas cylinder management, delivering exceptional
  efficiency, cost-effectiveness, and safety for offices, system gastronomy, hotels, and gas suppliers. By
  simplifying reordering, enhancing customer service, enabling effective asset management, and fostering
  sustainability, they’re transforming the gas market one cylinder at a time. With GasVisor, the future of
  gas management is here.
  Ähdus Technology is proud to be partnered with them as their professional IT service provider from
  Pakistan.
  
  About Ähdus Technology:
  Ähdus Technology is a German-Pakistani based deep-tech startup focused purely on Industrial IoT, Full
  stack web & mobile application, and Cloud Engineering. Since the foundation of Ähdus Technology from
  Sept 2021 until now we have completed about 35 Software Development Projects and now, we are
  partnered with some Enterprise German Companies and many Innovative Startups from German region.
  In conclusion, the strategic partnership between Ähdus Technology and Gastimate Technologies GmbH
  marks a pivotal moment for both companies. With Ähdus Technology’s deep-tech expertise and
  Gastimate’s innovative GasVisor solution, the collaboration promises to revolutionize gas management
  across various industries. As Ähdus Technology continues to expand its global footprint, this partnership
  reaffirms their commitment to delivering cutting-edge technology solutions and driving forward the
  digital transformation landscape.

Technology has made considerable progress in the past few decades. From intelligent robotic companions intended to make life more accessible to new transportation methods and smart homes, these drastic advancements in practices and processes ensure that our lives will be reformed. This article will look at some of the cutting-edge technologies available by 2023.

With the start of the New Year 2023, there are likewise new trends and difficulties for the IT industry. The IT world is indeed developing at a quick speed. The technology scene is continually changing with advancements in AI and machine learning.

Autonomous Vehicles

Autonomous vehicles, also called self-driving vehicles, are the most recent and progressive advancements in transportation technology. Autonomous vehicles utilize a combination of sensors, cameras, and high-level PC algorithms to detect their environmental elements, precisely explore roads and highways, and securely transport travelers.

In addition to giving a secure and effective method for travel, autonomous vehicles will permit us to be more functional while in a hurry. Countries like Japan have proactively begun testing this technology on their roads.

It is expected that by 2023, autonomous vehicles will turn into a typical sight on roads worldwide.

The growth of cloud computing

An ever-increasing number of organizations are moving their data and applications to the cloud to access substantial computing resourcing when needed and pay for what they use. This pattern will keep advancing in 2023 as organizations hope to take advantage of the scalability, reliability, and cost-saving funds that cloud services offer.

For example, organizations can have their cloud behind the protected firewalls of their IT framework. Others might build their cloud hosted on the outside framework, eliminating expensive software and hardware costs.

The rise of 5G

In 2023, 5G internet will probably turn out to be all the more broadly accessible as other networks have started to build their infrastructure for higher paces and faster download rates. For example,

• 5G offers much better latency
• The time it takes data to reach its destination
• faster response times among applications and services.

With diminished power requirements and improved capacity, 5G internet guarantees a more consistent and effective client experience, making it ready for future ages of cell phones and connected devices.

According to the Cisco Annual Internet Report, 5G connections are expected to grow to 1.4 billion this year (13 million connections in 2019). Also, by the end of 2023, 11% of devices and connections are expected to have 5G.

Artificial intelligence and machine learning

Artificial intelligence (AI) is a quickly advancing field of computer sciences that deals with creating and utilizing modern calculations to decide, tackle issues, and work independently. Al empowers machines to detect, think, act and learn as people do. It has been utilized in numerous industries, from health care and entertainment to finance and transportation.

Al is additionally rapidly becoming essential for our daily existence, with AI-powered assistants like Google and Alexa already being utilized by millions worldwide. This pattern is supposed to be used in many applications, from customer service chatbots to automated cars and robots.

Machine learning and artificial intelligence have proactively started transforming numerous industries, and their effect on IT will keep developing. These technologies will empower organizations to mechanize many tasks, from data analysis to customer service, liberating human workers to focus on complex, imaginative, and creative tasks.

Spread of IoT

IoT devices make our lives simpler and more advantageous, yet they leave us open to new and fluctuating types of cyber-attack. The more connected devices we have in our surroundings, the more doors and windows are potentially available to attackers. As the quantity of devices explodes during 2023, some businesses, device manufacturers, and security specialists will move forward in the battle to keep ” malicious actors” under control, limiting their possibilities of getting their hands on our essential data.

For those involved with IoT – especially in the consumers’ space where organizations can be the main boundary among hoodlums and immensely delicate individual data – spending on safety efforts is the figure to hit $6 billion during 2023.

Conclusion:

Ultimately, the future of innovation looks more splendid than ever. By 2023, we hope to see cutting-edge technologies like autonomous vehicles, the growth of cloud computing, the rise of 5G, Artificial intelligence, and machine learning, and the spread of IoT becoming more widely accessible and deeply inserted into our regular day-to-day existences. These technologies can change how we live, work, and play. By staying on top of the latest trends and technological advancements, we can ensure that we are always prepared for the future.

CO2 emanations behave like a blanket in the air, catching heat in the environment, and heating up the Earth. This layer prevents the Earth from cooling and consequently raises worldwide temperatures. A worldwide temperature alteration would influence environmental conditions, food and water supplies, weather, and ocean levels. Let us show you our contribution in eventually lowering down the co2 emissions by offsetting co2.

Let’s pick one big aspect of Co2 emission, transportation and traveling via different means.

FLIGHT CARBON DIOXIDE EMISSION:

Climate change and flying: which portion of worldwide CO2 discharges come from flying? Flying is an exceptionally controversial subject in climate discussions. It accounts for around 2.5% of worldwide CO₂ outflows, yet 3.5% when we consider non-CO₂ impacts on climate. How we help calculate, your flight Co2 emissions is given below:

The flight emission calculator quantifies the direct and indirect CO2-equivalent emissions per passenger for a given flight distance. The estimated emissions represent an average value for the distance between a given pair of origin and destination airports. The quantification is based on the most recent international statistics on passenger and cargo loads and aircraft type usage. The estimated emissions per passenger represent the amount of CO2 equivalents to be reduced in K2 carbon footprint offset.

Calculation principles

The K2 flight calculator determines the quantity of CO₂ emissions that an airplane gives off per passenger for a given flight distance. Nitrogen compounds and aerosols are also included and converted into CO₂. The calculation is based on average consumption data for typical short-haul and long-haul airplanes. The calculation also considers whether you are flying economy, business, or first class.

The following steps we used in the flight calculator:

1. User input. Coordinates for Departure and Arrival cities.
2. Using latitude/longitude coordinates we calculated travel distance in km.
3. Total fuel consumption (kg) per aircraft per kilometer including reserved fuel.
4. Cabin class weighting scheme is also included (Economy, Business, and First class)
5. Allocation to the Cargo load

Using the formula below we calculated the total CO2 emission for flight in Ton metrics

𝑬 = 𝒂𝒙 𝟐 +𝒃𝒙 +𝒄 𝑺 ∗ 𝑷𝑳𝑭 ∗ (𝟏 −𝑪𝑭) ∗ 𝑪𝑾 ∗ (𝑬𝑭 ∗ 𝑴 + 𝑷) + 𝐀𝐅 ∗ 𝐱 + A

E: CO2-eq emissions per passenger [kg]

x: Flight Distance [km] which is defined as the sum of GCD, the great circle distance, and DC, a distance correction for detours and holding patterns, and inefficiencies in the air traffic control systems [km]

S: Average number of seats (total across all cabin classes) PLF: Passenger load factor

CF: Cargo factor

CW: Cabin class weighting factor

EF: CO2 emission factor for jet fuel combustion (kerosene)

M: Multiplier accounting for potential non-CO2 effects

P: CO2e emission factor for preproduction jet fuel, kerosene

AF: Aircraft factor

A: Airport infrastructure emissions

Note:

LTO: Fuel consumption during landing and takeoff cycle including taxi [kg]

Short haul flight is defined as x < 1500km and long-haul flight as x > 2500km.

Carbon Footprint Car calculation steps 🚗

In transportation, another subcategory of Co2 emission is by traveling through cars which are around 4.6 metric tons

A regular traveler vehicle emanates around 4.6 metric lots of carbon dioxide each year. This expects the typical gas vehicle out and about today to have an efficiency of around 22.0 miles per gallon and cruises all over 11,500 miles each year. Each gallon of gas consumed makes around 8,887 grams of CO2.

The car emissions calculator quantifies the direct and indirect emissions per vehicle for a given distance traveled. The calculated emissions are based on the Eco invent life cycle assessment database and various mobility statistics. The aim is to provide users with a simple application, through which they can detail their car journey by inputting a few specifics and obtain a calculated result to raise awareness and lead to offsetting. The resulting emissions correspond to the amount of CO2 equivalents that can be reduced in K2 carbon offset projects.

Calculation principles

The K2 car calculator determines the CO₂ emissions of a car that arise during a car journey. The calculation is made per car and not per person. It not only considers the direct emissions arising from fuel combustion but also so-called grey emissions. These arise from the production of the vehicle, the provision of road infrastructure, and the extraction, transportation, and processing of the crude oil.

The following steps we used in the car calculator:

1. User input distance traveled (km) from point A to B
2. Fuel type
3. Fuel consumption in kg per 100km
4. Car type (Compact car, Mid-range car, Luxury / SUV / Truck)