Insights, tutorials, and updates from the ZharfAI team
Trends and analysis in AI and technology
When an answer can be independently checked, AI training can reward completed work rather than persuasive language—but the verifier becomes part of the product.
Test-time compute can improve difficult answers, but useful systems must decide which tasks deserve more reasoning, tools, and verification.
Agentic work changes team design: roles need explicit ownership, queues need visible state, and every automated handoff needs an accountable person.
Persian voice products must handle formal and colloquial speech, dialects, code-switching, names, numbers, and culturally appropriate repair.
AI can accelerate scientific work, but every useful suggestion must remain connected to sources, code, parameters, protocols, and reproducible evidence.
AI infrastructure planning now connects compute demand with power, water, storage, network capacity, workload flexibility, and local resilience.
AI search can shorten discovery, but a healthy answer ecosystem still needs attribution, source diversity, publisher value, and a path back to original work.
Great AI video is a production workflow: concept, continuity, edit, sound, rights, review, and delivery—not a lucky prompt.
A practical guide to AI memory that stays useful as people, permissions, and preferences change—without turning every past interaction into permanent truth.
Production voice agents succeed through timing, turn-taking, confirmation, recovery, and a clean path to a human—not voice synthesis alone.
An AI agent needs more than tool access. It needs a distinct identity, task-scoped authority, explicit delegation, and fast revocation.
Useful agents must survive delays, retries, approvals, expired credentials, and partial failure without losing their place or repeating an action.