QA micro-tests
- Red/green prompts for bias, brand, and accuracy
- Scorecards and eval rubrics included
- Human review checkpoints
Applied AI Lab
Experiments library.
Reuseable micro-tests to prove value quickly. Each comes with prompts, evals, and success signals.
Drafting trials
- Idea-to-draft with tone and style controls
- Measured against SME time saved
- Guardrails to block unsafe outputs
Personalization pilots
- Adaptive paths tied to telemetry
- Localized variants with consistency checks
- Completion and adoption as success signals
Ops & guardrails
- Approval flows, audits, and data handling
- Runbooks for incidents and rollbacks
- Templates to move pilots into MVP
High-demand experiments
Pick an experiment. We’ll run it with guardrails.
Reusable experiments for QA, personalization, RAG, and agentic tool-use—each with evals, telemetry, and rollback plans.
Eval’d
Governed
Fast pilots
AI QA Fastlane
Run red/green tests on your corpus for bias, brand, and compliance with SME approvals.
Eval rubrics
HITL
Personalization Pilot
Adaptive flows tied to telemetry, with localization and tone controls.
Signals
Multi-lang
RAG Accuracy
Retrieval-augmented generation with hallucination tests, freshness, and source-citing.
Sources
Freshness
Agentic Tooling
MCP/agent experiments with bounded tools, approvals, and audit logs.
Tool use
Approvals
Drafting Sprint
Idea-to-draft with tone locks, style guides, and human QA checkpoints.
Tone lock
HITL
Safety & Drift
Red team scripts, drift monitors, and rollback drills to keep outputs safe.
Red team
Rollback
How experiments run
Evidence, guardrails, repeat.
Frame
Define the win
Goal, risk tier, eval rubric, and approvals set up front.
Run
Ship the test
Implement pattern (QA, RAG, agentic), add HITL and telemetry.
Decide
Keep, cut, or scale
Read the signals; move to MVP/production or iterate with new constraints.
Ready to experiment
Bring a use case. We’ll prove it safely.
QA, personalization, RAG, or agentic tool-use—choose one, and we’ll spin up a governed experiment.