Category
Artificial Intelligence
AI trends, techniques, and real-world implementations
// 12 articles filed
// FIG. CAT-ARTI
PristrenPristrenAI trends, techniques, and real-world implementations
// 12 articles filed
The leading models, prompt techniques, commercial licensing, and honest limitations of AI image generation -- a practical guide for software teams and content creators.
Mahmudul Haque Qudrati
CEO & ML Engineer
AI recruiting tools reduce time-to-contact and standardize job descriptions, but AI screening requires careful oversight. A complete guide to current applications and real risks.
Mahmudul Haque Qudrati
CEO & ML Engineer
A practical guide for startup founders: use existing AI APIs, identify your highest-value use case, and ship the simplest version first. Avoid the most common AI mistakes.
Mahmudul Haque Qudrati
CEO & ML Engineer
AI customer support has matured significantly. Here is which tiers to automate, which to assist, and which to keep fully human -- with real implementation steps.
Mahmudul Haque Qudrati
CEO & ML Engineer
Claude, ChatGPT, Gemini, Jasper, and Copy.ai -- a direct comparison for professional writing. Which wins on long-form, which on marketing copy, and when specialized tools beat general models.
Mahmudul Haque Qudrati
CEO & ML Engineer
Feeling more productive is not data. This guide covers real measurement approaches -- output metrics, time tracking comparisons, quality metrics -- and how to set up a 30-day framework.
Mahmudul Haque Qudrati
CEO & ML Engineer
AI features require a different PM playbook. Define success criteria before building, plan your evaluation methodology, and set up feedback loops from day one.
Mahmudul Haque Qudrati
CEO & ML Engineer
We replaced Slack, Google Meet, TimeCamp, and three other tools with Zlyqor. Here is what the real numbers look like after 6 months.
Mahmudul Haque Qudrati
CEO & ML Engineer
Gloria Mark's 23-minute refocus research applied to our real team. The formula for calculating what tool switching actually costs, with our own numbers.
Mahmudul Haque Qudrati
CEO & ML Engineer
Real Zlyqor timer data from our 4-person team. What 640-800 tracked hours per month actually reveal about where knowledge-work time goes.
Mahmudul Haque Qudrati
CEO & ML Engineer
How we manage 30-50 tasks per week across phases and modules in Zlyqor, what AI task suggestions actually contributed, and what our task taxonomy looks like.
Mahmudul Haque Qudrati
CEO & ML Engineer
Runway Gen-3 Alpha raises the bar for AI video with dramatically improved temporal consistency, a motion brush tool for selective animation, and Act One for transferring facial performances onto generated characters.
Mahmudul Haque Qudrati
CEO & ML Engineer
Deep dives into ML algorithms, models, and applications
How LLMs work, honest comparisons, and production usage
Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
Fewer tokens, cheaper APIs, local alternatives with real numbers
Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Data analysis, visualization, and engineering insights
Autonomous agents, LLM applications, and intelligent systems