Evaluation & Benchmarking

Verify your document

agents & scaffolds.

Audit model pipelines, prompt structures, and tool scaffolds on complex multi-file workspaces. Run automated validations against domain-specific rubrics on unseen datasets under container isolation.

Live evaluation packets

Run the agent against real dossier tasks.

These examples use the same FakeBioTech workflow packets loaded in the Raycaster DocAgent app, with prompts, source files, and rubrics drawn from the evaluation packets.

Workflow Packet 1
Team workspace · Review mode
Search project, rubrics, or chats
Document viewer
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DocAgent workspace showing FakeBioTech Workflow Packet 1 with 32P51 specification open
Strategic Decision Framework

In-House Scaffolding vs. Black-Box Vendors

For document agents handling regulatory submissions, quality audits, and technical dossiers, accuracy is non-negotiable. Engineering teams generally choose between two implementation paths—both of which present hidden, structural risks.

Path 1: In-House Scaffolding

Building custom document parsers, database connectors, and agent state machines gives your team control over data security and pipeline layout. However, it introduces significant long-term maintenance costs and blind regression risks.

1

Scaffold Complexity

Managing multi-file workspaces, parsing nested XML/DOCX tables, and routing context budgets under strict model limits requires substantial, custom infra.

2

Prompt Drift & Regression

Minor changes to model weights, temperature, or system instructions can quietly break edge cases in complex tables or dossier formatting without any linter warning.

3

Testing Overhead

Developers end up spending more time writing mock databases, regression scripts, and custom grading pipelines than improving the actual document logic.

The In-House Verification Loop

  • Active Prompt Auditing: Continually measuring agent outputs against your standard SOPs to detect formatting regressions.
  • Custom Scorecards: Writing strict, program-level evaluations to verify document-to-document factuality.
  • Sandboxed Runtimes: Running agent code in secure, air-gapped nodes to prevent sensitive data leakage.
HOW RAYCASTER HELPS

We provide the complete evaluation harness. We audit your prompt templates, run regression sets in air-gapped containers, and score outputs against your exact quality guidelines.

Path 2: Black-Box Vendors

Purchasing off-the-shelf document platforms reduces initial development time. However, it delegates core validation and security to third parties, masking underlying inaccuracies under aggregated stats.

1

Marketing Claims vs. Zero-Shot Reality

Vendor accuracy claims are typically measured on public benchmarks or pre-selected showcases. They rarely represent performance on your visual tables or formatting rules.

2

Hidden Orchestration

Standard vendor platforms hide intermediate prompt templates, chunking configurations, and retries, making it impossible to audit reasoning or debug silent failures.

3

Data Governance Risks

Sensitive, proprietary dossiers and clinical parameters are processed through unverified third-party pipelines and un-isolated execution environments.

Independent Auditing Standard

  • Contamination Verification: Checking if public test sets were memorized during model pre-training.
  • Side-by-Side Efficacy: Running unbiased, comparative evaluations across multiple vendor pipelines.
  • Stress-Testing Scaffolds: Testing vendor APIs under simulated packet delays, large dossiers, and formatting noise.
HOW RAYCASTER HELPS

We provide independent third-party verification. We test vendor API pipelines against your actual document packets inside secure nodes, delivering objective comparison reports.

Platform Capabilities

What Raycaster evaluates

The evaluation service tests the entire agent workflow: the files it sees, the changes it makes, and the rubric used to judge the result.

Sandboxing

Isolated runs

Each evaluation runs against a copied workspace with the exact files, prompt, and rubric set. The production dossier is never the test surface.

Containerized workspaces

Agents operate inside bounded project directories with explicit file access.

Network controls

Outbound access can be disabled for sensitive regulatory or quality packets.

Recorded setup

Every run records the same file set, prompt text, and grading program.

run_manifest.json
workspaceFakeBioTech Packet 1

32P and 32S sections copied into an isolated review run.

target files3 modified

32P51, 32P52, and 32P54 are the only permitted edits.

source files2 locked

32S41 and 32P81 remain available for reference, not mutation.

Review trail

Auditable traces

A useful evaluation is not just a final answer. Raycaster preserves the file reads, edits, and rubric decisions needed to explain why a run passed or failed.

Trace timeline

See which files were read, when tables were changed, and where the run branched.

DOCX-aware review

Inspect edits inside nested tables, paragraphs, and document sections.

Grounded decisions

Tie grader decisions back to the source file and rubric clause.

grader_notes
File Edit Countscore 1

Only the three expected 32P files were edited.

32P51 Editsscore 1

The Ethanol method column was updated to in-house gas chromatography.

32P52 Editsscore 1

Residual solvents moved from compendial to in-house procedures.

Model and vendor evaluation

Comparative grading

Run the same packet through multiple prompts, model backends, or vendors. The output is a decision record, not a leaderboard screenshot.

Program-specific rubrics

Define pass/fail criteria for file edits, factual answers, units, dates, and formatting.

Failure inspection

Distinguish retrieval misses, formatting drift, and hallucinated regulatory claims.

Repeatable comparisons

Hold the prompt and packet constant while changing the agent or vendor under test.

comparison_report
Packet 210 rubrics

Batch size classification and CMC updates scored together.

Market classificationmatched

US Annual Report, EU Type IA, Canada Annual Notification.

CoA selectionmatched

DP042025_1 identified as the first post-change lot.

Evaluate your agent setups.

Configure custom benchmarks, audit in-house agent harnesses, or test vendor solutions against real regulatory or technical files.