Forsolving.comDiagnose a Process
Forsolving.comForsolving: Agentic Problem Decomposition

Don’t automate the chaos. Turn the process into a tested skill.

Identify the real goal, decompose the work, and build a tested custom AI skill before you automate.

Diagnose a ProcessSee the Method
01Before the agent

You asked for an AI agent. But is the process defined?

Most automation failures begin before the first prompt. The requested task is incomplete, the real goal is hidden, and critical exceptions live in people’s heads.

Requested“Build an agent that answers complaints.”
Actual goalProduce consistent decisions, detect risk, and escalate the right cases.
02The operating method

From uncertainty to a tested operating skill

Forsolving separates the visible request from the outcome, constraints, evidence, and acceptance criteria behind it.

  1. 01

    Problem

    Name the business outcome, not only the requested output.

  2. 02

    Cause

    Find assumptions, bottlenecks, sources, exceptions, and risk.

  3. 03

    Task

    Turn tacit knowledge into explicit decisions and actions.

  4. 04

    Skill

    Specify inputs, logic, tools, outputs, and human checkpoints.

  5. 05

    Test

    Use representative cases and measurable acceptance criteria.

  6. 06

    Outcome

    Choose what to keep manual, augment, automate, or build.

Explore the full method
03What you can use

An operating artifact, not another strategy deck.

Each engagement ends with material your team can inspect, test, revise, and implement.

Core artifact

Skill Blueprint

Goals, inputs, sources, logic, exceptions, outputs, checkpoints, and evaluation cases in one specification.

Working system

Tested Custom Skill

Reusable instructions, context, examples, resources, tools, and measurable acceptance criteria.

Build handoff

Automation-ready specification

Stable process logic that developers can implement with less ambiguity and rework.

DemonstrationNot a customer result
Complaint handling

From “build a bot” to a policy-aware skill.

False request

Automatically answer every customer complaint.

Real goal

Resolve routine cases consistently while detecting financial, legal, and reputational risk.

Skill design

Policy sources, evidence checks, decision rules, approval thresholds, and human escalation.

Test

Cases with missing evidence, policy conflicts, high-value claims, and sensitive language.

See demonstrator cases
04Choose the right intervention

A skill is not a smaller SaaS product.

Use a skill when

The knowledge is specific, the process still changes, and human judgment remains important.

Build software when

The logic is stable, integrations are essential, scale is proven, and ownership is clear.

Buy SaaS when

The process is standard, market tools already fit, and customization would add little advantage.

Human control

Judgment is part of the architecture.

Every skill defines where AI may act, where it must stop, and what evidence a person needs to approve the next step.

InputsTrusted sources and required evidence
LogicRules, exceptions, and evaluation criteria
Stop rulesRisk thresholds and human escalation
OutcomeTraceable output with clear ownership
Anton Radzevich presenting the Forsolving definition
Meet Forsolving slide defining Forsolving as recognizing a problem, identifying causes, setting tasks, and finding solutions
Slide 05 / Definition
Meet Forsolving slide about diagnosing the customer’s true goal
Slide 14 / Problem diagnosis
Meet Forsolving slide about turning the problem into a task after identifying the true goal
Slide 15 / Task framing
Forsolver / Since 2015

Anton Radzevich turns ambiguous work into systems people can trust.

Forsolving began as a problem-solving framework in 2015. Today, Anton applies that foundation to agentic workflows and tested custom AI skills for people, AI agents, and human-AI teams.

Claude Certified Architect — Foundations. The Forsolving method remains model-agnostic.

Verified credentialClaude Certified Architect — Foundations

Official credential verification provided by Credly.

Meet the Forsolver
Two-minute check

Is your process ready for an AI skill?

Process readiness signals
0 / 5 signalsDocument first
05Common questions

Clear before committed.

What is Forsolving?

Forsolving is a method for turning an ambiguous business problem into a verifiable operating skill for a person, an AI agent, or a human-AI team.

How is a skill different from a prompt?

A prompt requests an output. A skill defines how work should be performed, validated, escalated, and repeated across real cases.

Does Forsolving always lead to automation?

No. The evidence may show that the process should stay manual, be documented first, use AI assistance, or become software.

Does it only work with Claude?

No. The method is model-agnostic and can work with Claude, ChatGPT, Gemini, or a mixed tool environment.

What do I need for a diagnostic?

Bring one repeated task, five real examples, current source material, and a person who understands the exceptions.

Start with one real process

Bring one repeated task and five real examples.

We will identify the real goal, expose hidden exceptions, and decide whether the process is ready for a custom AI skill.

Diagnose a Process