Official verificationCredential issued and verified through Credly.Open credential
Anton Radzevich / Forsolver
I make ambiguous work explicit, testable, and usable.
My work sits between operations, agentic thinking, process design, and custom AI skill architecture.
Independent method
Forsolving remains model-agnostic. Certification adds verified technical depth without turning the practice into a vendor method.
The practice
Start with the real goal.
Teams often arrive with a solution already named: a chatbot, an automation, an agent, or a software feature. I start one step earlier. What business result is needed? What evidence supports the decision? Which exceptions matter? Where must a person remain responsible?
Forsolving began as a problem-solving framework in 2015. The current practice applies that foundation to operational knowledge and AI systems while remaining model-agnostic.
Agentic thinking
In a world of AI agents, knowing what to delegate matters more than knowing what to prompt.
Modern work needs more than prompt writing. The human remains the main agent who owns goal setting, decomposition, roles, reliable sources, verification, continuous improvement, and the final decision.
For Executives & Operations3-Hour Executive Workshop
Agentic Thinking for Work
Google Workspace Infrastructure Edition
Learn to move beyond prompt engineering. Design, decompose, and govern a multi-agent AI team (Triage, Researcher, Analyst, Editor, Critic) using your actual Google Workspace data.
- Artifact Built: Complete "AI Agent Team Passport" for one business process
- Data Sources: Connect Gmail, Drive, Docs, Sheets, and Calendar
- Governance: Define human checkpoints, stop rules, and verification criteria
- Scale: Understand when Workspace is enough vs. when Google Cloud Vertex AI is required
For children
Coming soon Agentic Thinking for Learning
Teaches planning, checking sources, finding errors, and staying author of the work.