Radi R&D lab

AI harnesses for real software work

Radi researches and builds controlled AI systems that turn messy business and technical input into structured, reviewable artifacts.

See current harnesses
Messy input
Structured output decision.json

Definition

What is an AI harness?

An AI harness is a controlled software system around LLMs. It turns messy input into structured, reviewable, usable outputs without relying on chat alone.

LLMs by themselves are not software products. A harness wraps model intelligence in workflow, structure, validation, repair, logs, and review loops.

The output is not just an answer. It is an artifact, decision, report, spec, recommendation, or workflow step that can be checked.

Why it matters

LLMs are powerful but unstable.

Structure first

Most AI projects fail because they skip structure. Companies feed messy inputs into models and expect clean outputs.

Bounded work

Real use requires boundaries, contracts, observability, and review loops. The model needs a system around it.

Repeatable output

Harnesses make AI useful for repeatable work by producing artifacts people and software can inspect.

Workshop method

How Radi works

  1. Messy input
  2. Normalization
  3. Extraction
  4. Reasoning
  5. Validation
  6. Repair
  7. Structured output
  8. Human review
Modular stages
Logs and debug traces
Deterministic validation where possible
Model-agnostic experiments

Current work

Current harnesses

Identity and positioning harness

KlarForm

KlarForm turns messy founder and company input into structured brand, positioning, messaging, and website artifacts.

Input

Messy founder notes

Output

Positioning, message pillars, website copy

  • Founder intake
  • Positioning and message pillars
  • Landing page copy
  • Contradictions and tension review
  • Structured export for humans and tools
Explore KlarForm

Platform reasoning harness

Vulcan

Vulcan turns infrastructure context, configs, docs, and operational knowledge into structured recommendations, reviews, and action plans.

Input

Infra config and docs

Output

Risks, recommendations, action plan

  • Platform reasoning
  • Infrastructure review
  • Operational intelligence
  • Technical decision support
Request Early Access

Relationship

Radi and Forthscale

Forthscale implements AI-powered and platform solutions for clients.

Radi researches and develops the harnesses, methods, and product patterns behind that work.

Focus

What Radi is not

Radi is not a chatbot wrapper or generic AI demo.

The focus is not casual conversation with a model. The focus is controlled workflows that turn messy input into structured artifacts people can review, use, and improve.