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The Context OS for Agentic Intelligence

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The Pre-Production Gap

Traditional testing misses system-level behavior, leaving production as the final test environment and creating incidents

Testing

Incomplete Test Coverage

Unit tests often pass but fail at system integration

Isolated tests miss full system behavior

Edge cases remain undetected

Integration failures occur late

Test assumptions do not reflect production

Hidden dependencies cause errors

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Outcome: System Behavior Unverified

Trust

Unvalidated AI Code

AI-generated code cannot be fully trusted without pre-deployment checks

No way to verify AI fixes early

Developers unsure of correctness

Potential regressions go unnoticed

AI decisions lack full context

Errors surface post-commit

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Outcome: Code Confidence Low

Deployment

Binary Deployment Risk

Deployments either succeed or fail, leaving no middle ground for issues

Edge cases only discovered in production

Incidents become real-time tests

No gradual rollout validation

Failures cause operational impact

Late fixes increase cost

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Outcome: Production as Test

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Rehearse in Simulation, Deploy With Proof

Context OS ensures every change is validated in rehearsal, preventing production incidents and improving deployment confidence

Execution Rehearsal With Context OS

Context OS ensures code changes are rehearsed pre-deployment, identifying issues early, enforcing policy, and improving confidence

Approval Agent

Auto-approves changes that pass all simulations, providing evidence for deployment approval

Failed simulations automatically block deployment and escalate edge case failures for human review

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Safe Automated Approvals

Policy Enforcement

Defines simulation requirements by code type as mandatory deployment gates

Database changes require migration rehearsal, and API updates require contract validation with no exceptions

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Enforced Simulation Policies

Exception Routing

Routes rehearsal failures to the appropriate reviewers based on type of issue

Performance regressions go to the performance team; security failures go to security experts

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Correct Authority Notified

Audit Agent

Captures a complete record of all rehearsals, including tested scenarios and outcomes

Provides evidence for compliance, post-incident analysis, and regulatory requirements

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Full Compliance Evidence

Decision Review

Analyzes rehearsal patterns to identify gaps, recurring issues, and edge case coverage

Helps teams improve simulation coverage and deployment confidence over time

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Insightful Pattern Analysis

Continuous Improvement

Lessons from rehearsals inform better policy, more comprehensive tests, and safer deployments

Institutional learning reduces failures and strengthens confidence in pre-production deployments

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Higher Deployment Confidence

Execution Rehearsal Example

This example shows how Context OS rehearses an API rate limiting change, catching issues before production deployment

01

Description Change

Modify API rate limiting from fixed 100/min to dynamic user-tier limits. All tier rules must handle edge cases

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    Tier Boundaries: Free, Pro, Enterprise tier limits defined and tested

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    Edge Cases: Handle tier changes mid-window and undefined or null users

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Rehearsal Plan

Policy requires behavioral, edge case, and performance validation to ensure deployment safety

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    Behavioral Testing: Verify tier boundaries and user interactions

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    Performance Testing: Simulate load at 10x expected peak traffic

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Rehearsal Results

Most tests passed, but undefined tiers defaulted to 0, blocking requests. Issue detected safely

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    Successes: Tier boundaries handled correctly

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    Failure: Undefined tier defaults to 0

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Issue Handling

Deployment blocked automatically. Issue routed to developer with rehearsal evidence for correction

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    Automatic Gate: Prevents production deployment

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    Developer Guidance: Rehearsal evidence provided for quick fix

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Measurable Rehearsal Impact

Metrics show how execution rehearsals prevent production incidents, catch issues early, and provide full audit evidence

75% reduction

Rehearsals reduce production incidents significantly

100% rehearsed

Every change is validated before deployment

40% of issues

Rehearsals catch issues missed by unit tests

Complete audit trail

Logs what was rehearsed, passed, and failed

Frequently Asked Questions

Context OS simulates execution across all scenarios, catching issues before production deployment occurs

Yes, 40% of issues are detected in rehearsal that unit tests do not catch

Failed rehearsals automatically block deployment and route the issue to the correct reviewer

Every rehearsal is logged, including scenarios tested, outcomes, and approval evidence for audits

Rehearse in simulation. Deploy with proof. Production is no longer the test.

Context OS lets you rehearse every change in simulation, ensuring deployments are safe and fully validated before production