Rohan Jalil

Tokens are the units an LLM reads and bills by. How tokenization works, how it fills the context window, and what drives token costs up.

An AI sales agent makes 400-600 calls a day for $3,000-$5,000 a month. How it compares to a human SDR on cost, meetings and payback.

How Laravel 13 vector search really works, from whereVectorSimilarTo down to the pgvector SQL, plus the HNSW filtering bug that silently thins your results.

Almost every software agency says it “does AI” now. There’s a big difference between adding AI to a services page and actually knowing how to build and operate AI systems in production. Some have built and deployed real production systems. Others have simply added “AI-powered” to services they were already offering.

Realistic 2026 budgets for AI projects, based on 250+ projects we’ve delivered since 2014: what each type costs to build and run after launch.

How AI voice agents handle phone calls with speech recognition, language models and text-to-speech, what they cost, and where businesses use them.

AI agents take a goal, plan the steps and use software tools to finish the job. How they work and how they differ from chatbots.

What AI projects actually cost in 2026, what pushes the price up or down, and where companies spend money they didn’t need to.

Businesses have been automating repetitive work for years. Traditional automation follows instructions that someone has already defined. AI agents can interpret information, make decisions within set boundaries, and determine what steps to take. In many businesses, the two approaches can work together.

LinkedIn can be a powerful channel for B2B companies, but simply posting a few times a week isn’t enough. Real organic growth comes from being visible, starting conversations, building relationships, and giving people a reason to remember your company. Here are a few practical ways to make LinkedIn work harder for your B2B business.