.png&w=256&q=75)
1
1
Turkey
1 year of experience
Ali Kemal Çalak is a software engineer based in Turkey, specializing in multi-agent AI systems, agentic AI, tool calling, and AI-powered workflow automation. He holds a degree in Software Engineering from Karadeniz Technical University and currently works as a Junior Software Engineer at Colobrix, where he contributes across the full stack — frontend, backend, and AI development. He designs and builds practical, AI-driven products and prototypes using technologies such as Python, FastAPI, Next.js, PostgreSQL, and the Agno multi-agent framework. For his graduation project, he developed DialogTR, a Turkish-focused voice AI assistant featuring multi-agent orchestration and fully on-device speech-to-text. He was also a finalist in Teknofest's Artificial Intelligence in Aviation competition — one of Turkey's largest technology and aerospace events — with the Artun Vision team, and he actively contributes to the open-source community by building and sharing developer templates and projects.

Every founder needs to know who their competitors are, what they charge, where they are weak, and how they would react to the next move — but the answer today is either weeks of manual research or an AI summary you cannot trust because it cites nothing. WarRoom is an autonomous competitive-strategy analyst. Give it one company URL and it does the rest: it infers your market from your own site, runs live web searches to discover up to 25 real competitors — classified as direct, substitute, category incumbent, partner, or emerging — asks you to confirm the field, then scrapes each confirmed competitor's public pages (pricing, product, blog, careers, integrations, security) while respecting robots.txt. The report is evidence-linked by design: every claim carries source URLs and evidence-chunk IDs re-derived from actually scraped content, so the model cannot fabricate a citation; anything unverifiable is explicitly labeled as inference. A trust panel shows exactly how much of the report is evidence-backed — with zero fabricated citations. And it reads like a strategy analyst wrote it: an explainable threat ranking (category overlap + audience match + market proximity + momentum), full competitor dossiers with SWOT, a pricing comparison matrix, a target-company baseline, a per-competitor impact and defensive move, and a CEO briefing (move now, signals to watch, risky bets, likely competitor response). Then the hero feature: the war game — stress-test your own strategic move against an AI competitor persona grounded in that competitor's real scraped data. Under the hood: FastAPI, PostgreSQL + pgvector, Redis SSE streaming, a Next.js 16 front end, and hybrid LLM routing — high-volume extraction on a cheap local tier, heavy reasoning on the remote tier, every call logged to a live cost panel. The whole dossier exports as a branded, evidence-linked PDF.
13 Jul 2026