LLM & Technology

Retrieval-Augmented vs Fine-Tuning: A Decision Framework

A wrong answer from a model leaves two paths: feed it your organisation's documents, or retrain the model itself. Which is cheaper, faster and more durable? A framework for choosing between retrieval-augmentation and fine-tuning, based on your data and needs.

Multi-Agent Orchestration: From Pilots to a Real Control Plane

A single agent performs well in a pilot; the difficulty begins when dozens run at once. Sequencing specialists, handling mid-run failure, and governing hundreds of executions form the control plane that turns a pilot into a real operating system.

The Browser Agent Arrives: Acting on the Web for You

Filling in forms, checking prices and repeating the same web searches consume hours of a team's week. Agents now carry out these tasks directly in the browser; which work can safely be handed over, and where the risk of error runs high.

AI Video Generation: Ads Without a Studio

The cost and time of producing an advert long kept smaller businesses out of video altogether. Much of that pipeline now runs without a studio; here is the quality to expect, the use cases that fit, and what separates professional work from amateur output.

The Leap to Longer AI Video: Opportunity and Limits

Multi-minute AI video has moved past the demo stage and is edging closer to a working marketing tool. Where this leap is genuinely usable, which limits still hold firm, and what level of quality one should reasonably expect from the output.

Choosing a Language Model for Business in 2026

Choosing a language model usually starts with which one is best, when the right question is: for which task and under which constraints. A practical comparison across cost, Persian-language quality, data privacy and the reliability of the output.

Synthetic Data for SME Training Sets: When It Helps

Too few examples for rare cases is a familiar reason models lose accuracy, and synthetic data looks like the most tempting fix. Yet filling those classes is delicate work, and no generated sample stands in for real customer behaviour.

A New Open Model Generation: The On-Premise Opportunity

For organisations whose data must never leave the internal network, open models are the only serious option. How close the latest generation has come to commercial systems, and what hardware and budget an on-premise deployment actually demands.

A Standard for Connecting Models to Tools: Easier Integration

Much of the cost of an AI project goes into wiring the model to internal tools and data, not into the model itself. A plain explanation of the standard that makes those connections repeatable, and why it matters most where legacy systems abound.

Generative UI for Product Teams: Prototype Faster, Ship Carefully

Generating ten versions of a screen in minutes makes shipping fast very tempting, and that is precisely where quality slips. AI is excellent for exploring layouts and copy, but accessibility and design-system rules must stay human-owned.

Converging Digital Regulation: What It Means for Business

New data and AI rules are no longer a purely legal matter; they shape product design and customer contracts. An overview of where these regulations are converging, and what an Iranian business with foreign clients or partners should be doing now.

Model-Wave Week: How Not to Drown in the Hype

New models now arrive so quickly that the pace makes decisions harder rather than easier. Criteria for separating announcements from genuine change, and a way for an organisation to stay current without chasing every release.

Edge and On-Device AI When Connectivity Is Uneven

When bandwidth and uptime cannot be guaranteed, full dependence on the cloud means an outage at the worst possible moment. On-device inference and edge processing remove much of that risk; we map which tasks can run locally and which still require the cloud.

The New Reasoning-Model Generation: What It Means for Business

What sets the new generation of models apart is not response speed but the ability to follow a long chain of reasoning. What that shift means for contract analysis, operations planning and decision support, and the boundaries one still should not lean on.

Open vs Closed Models for H2 2026 Decisions

The open-versus-closed debate often slides into ideology, while the real decision rests on four variables: total cost, degree of control, output quality, and the burden placed on the operations team. A framework for choosing on those terms alone.