Agent Harness & Eval Design
Agents fail differently than traditional software: non-deterministic outputs, tool-call side effects, and context drift make "it worked in the demo" a poor quality bar. Techwall's Agent Harness & Eval Design service gives you a repeatable way to measure agent quality before release and after every change.
We design harnesses that fit your release process: whether you ship weekly prompts, monthly model upgrades, or continuous deployments to thousands of users.
Why Eval Harnesses Matter
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Regression safety
catch broken tool schemas and policy violations before users do. -
Model migration
compare GPT, Claude, or open-weight models on the same scenarios. -
Cost control
benchmark token use and latency per workflow. -
Compliance evidence
documented test results for internal audit and customer trust.
What We Build (Design + Implementation Guidance)
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Scenario libraries covering happy paths, edge cases, and known failure modes
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Automated runners integrated with GitHub Actions, GitLab CI, or your pipeline
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Tracing hooks (OpenTelemetry-compatible patterns) for production vs eval parity
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Human review queues for subjective or high-risk outputs
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Dashboards: pass rate, cost per eval run, drift over time
Our Process
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01 - Inventory
catalog agent capabilities, tools, and business-critical outcomes.
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02 - Metric design
define what "good" means (accuracy, safety, completion rate, user satisfaction proxy).
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03 - Harness architecture
choose assertion types, dataset format, and environment isolation.
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04 - Pilot suite
20 to 50 scenarios that block bad releases.
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05 - Scale-up
expand coverage, schedule runs, tie to FDE rollout checkpoints.
Design you can ship
Architecture, tools, and eval suites are scoped for your stack and security rules. We document what production promotion requires before you scale users.
Deliverables
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Eval harness specification and repository structure
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Initial scenario dataset (JSON/YAML) with expected behaviors
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CI integration guide and quality gates
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Observability map: what to log in dev vs production
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Model upgrade playbook
Pairs With Agent Design
Best results come when AI Agent Design defines tool contracts and success metrics upfront: we embed eval hooks into the architecture. Already have a live agent? We reverse-engineer scenarios from logs and incident history.
Related Services
Awards and Certifications
Business Social Compliance Initiative (BSCI)
ISO 9001: Quality Management Systems (QMS)
iF International Design Award
Kind + Jugend Innovation Awards
ATEX, IECEx Explosive Products Certification
EU CE Declaration of Conformity
Federal Communications Commission FCC Certification
Bluetooth Low Energy
Awards and Certifications
Business Social Compliance Initiative (BSCI)
ISO 9001: Quality Management Systems (QMS)
iF International Design Award
Kind + Jugend Innovation Awards
ATEX, IECEx Explosive Products Certification
EU CE Declaration of Conformity
Federal Communications Commission FCC Certification
Bluetooth Low Energy
Manufacturing and AI engineering
Get in touch
Discuss your manufacturing or AI engineering requirements with our Hong Kong team.
Typical reply within one business day.
