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AI-assisted systems

Put language models inside useful, reviewable workflows with validation, fallbacks and human control.

Why this work matters

A model response is not a production system. The useful engineering work is around it: deciding when a model should be called, constraining the output, checking whether it is usable, preserving context, routing uncertainty and making it possible for a person to correct the result.

What I can take on

01

Find the narrow part of a workflow where classification, extraction, drafting or intent detection can reduce useful effort.

02

Define structured inputs and outputs instead of building a chat surface with no operational boundary.

03

Validate responses, handle refusals and malformed output, and provide a clear fallback path.

04

Keep human review where the decision carries ambiguity, risk or business responsibility.

Engineering concerns

Structured model outputPrompt and context boundariesValidation and confidence handlingRetrieval and source traceabilityProvider failures, retries and costHuman review and correction loops

Usually a good fit when

  • The workflow contains repetitive language or document work.
  • People already review or correct the result manually.
  • The team can define what a useful output looks like.
  • AI would assist a process rather than replace accountability for the decision.

Probably not a fit when

  • The desired result is an unbounded promise of autonomous intelligence.
  • There is no review path for uncertain or incorrect output.
  • A deterministic rule or ordinary integration would solve the problem more clearly.

How an engagement starts

01

Understand

Describe the process as it exists, including the workaround and the point where it breaks.

02

Shape

Turn the problem into a constrained system: scope, interfaces, states, risks and a first useful slice.

03

Build

Implement the system, connect it to production reality and leave behind something the team can operate.

Start with the real process

Discuss a workflow.

Bring the manual steps, the exceptions and what people currently do to keep things moving. That is enough to begin a useful conversation.

serhii@absolyd.com ↗