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Don't trust the
first answer.

Ensemble helps teams trust AI-generated code by generating multiple independent implementations, reviewing them through senior, security, and architecture lenses, and only surfacing what holds up.

Trust what survives scrutiny.

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ensemble — live orchestration
Intake Parallel runs Review & issues Consensus
GitHub issue #1847 — Fix auth token refresh on session expiry triaging…
Run 01 selected
builder0%
Senior
Security
Architecture
Run 02 drift
builder0%
Senior
Security
Architecture
Security: Refresh token reused across sessions
Architecture: Scope drift — unrelated migration added
excluded — drift
Run 03 selected
builder0%
Senior
Security
Architecture
Senior: Duplicated retry logic — extract helper
Architecture: Auth logic leaking into controller
Consensus reached
2 runs aligned · 1 excluded (drift) · PR ready for human approval
PR #1848 +47 −12 · 3 files
Awaiting human approval before merge
Activity

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Pick a real signal, watch the agents run, see which implementation survives.

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E
ensemble interactive demo
Mock Data
signals (6)
Sentry high 8m ago
NullPointerException in PaymentService.pr...
running
GitHub high 2m ago
Auth token expiry not handled in refresh fl...
complete
Shortcut medium 15m ago
Add rate limiting to public API endpoints
triaged
+ 3 more signals…
feed
triage
run
consensus
Ensemble Run
NullPointerException in PaymentService.process()
running
Planner (claude-sonnet)
$0.03
PaymentService.ts PaymentMethod.ts
Engineer A (claude-sonnet)
$0.09
Engineer B (claude-sonnet)
$0.07
$ Cost Breakdown
$0.19
Across 4 agents
Activity Log
00:01 [Planner] Read PaymentService.ts
00:05 [Planner] Generated plan (3 tasks)
00:08 [Engineer A] Created worktree-a
00:10 [Engineer B] Created worktree-b
00:14 [Engineer A] Reading PaymentService.ts
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See a real run: task intake, independent implementations, reviewer disagreement, convergence, and the PR that survives.

signal: GitHub issue #482 — session token not refreshing after expiry
source: github.com/acme/api
priority: high — auth flow affected
triage: analyzing codebase context...
files: src/auth/token.ts, src/middleware/session.ts, src/lib/jwt.ts
plan: 3 independent runs queued
run_01: 3 files changed — token.ts, session.ts, jwt.ts
run_02: 4 files changed — includes unrelated db/migrations/add_session_table.ts
run_03: 2 files changed — token.ts, session.ts
 
diff_analysis: Run 02 introduced scope beyond the issue boundary
consensus: Runs 01 and 03 converge on same fix approach
excluded: Run 02 — drift detected
[Run 01] Senior: ✓ Clean implementation — no issues
[Run 01] Security: ✓ Token rotation correct — no reuse
[Run 01] Architecture: ✓ Change scoped correctly
 
[Run 02] Security: ✗ Refresh token reused across sessions — high risk
[Run 02] Architecture: ✗ Added unrelated DB migration
 
[Run 03] Senior: ⚠ Duplicated retry logic — extract shared helper
[Run 03] Architecture: ⚠ Auth logic leaking into controller layer
pr_title: fix: refresh auth token on session expiry (#1847)
based_on: Run 01 (consensus winner)
files: src/auth/token.ts, src/middleware/session.ts
tests: passing (12/12)
reviews_passed: Senior ✓ Security ✓ Architecture ✓
status: awaiting human sign-off before merge
 
# Nothing merges without your team's approval.
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A review system for AI-generated code

Ensemble does not just generate code. It helps teams decide what deserves to move forward by adding repeated scrutiny before merge.

Multiple independent implementations
One generated answer should not define the outcome. Ensemble creates multiple implementations so weak first drafts do not become default decisions.
Specialized review inside every run
Each implementation is reviewed through senior engineering, security, and architecture lenses before it moves forward.
Human approval before merge
Ensemble narrows the field. Your team still decides what lands.

Why it's safer than a single pass

Independent attempts
One generated answer should not define the outcome. Multiple implementations ensure weak first drafts don't become default decisions.
Review from multiple angles
Each implementation is reviewed through senior engineering, security, and architecture lenses before it moves forward.
Human control before merge
Ensemble narrows the field. Your team still decides what lands.

How Ensemble works

The first pass is easy. The scrutiny is the product.

01
Signal
A task, issue, or error enters the system.
02
Triage
The codebase is analyzed. Affected files and context are mapped.
03
Independent runs
Multiple implementations are generated independently.
04
Review inside each run
Each implementation passes through senior, security, and architecture review.
05
Compare outcomes
Results are compared across runs. Drift and divergence are flagged.
06
Human approval
Your team reviews what survived. Nothing merges without sign-off.
07
PR
One pull request. Backed by convergence, not a single guess.

Three review lenses inside every run

Every implementation is examined from three angles before it moves forward.

Senior Engineer
Checks implementation quality, code patterns, correctness, and whether the change makes sense in context.
Security
Looks for auth issues, secrets exposure, injection risks, risky edge cases, and trust-boundary problems.
Architecture
Examines system boundaries, long-term maintainability, design tradeoffs, and whether the change fits the shape of the codebase.

Simple, transparent pricing

Start free during beta. Scale when your team is ready.

Starter
$0 during beta
For individuals and small teams getting started.
Up to 50 runs / month
3 independent implementations per run
Senior, security, architecture review
GitHub integration
Community support
Team
$49 per seat / month
For active engineering teams with review bottlenecks.
Unlimited runs
Custom review lenses
Cross-run comparison dashboard
Team analytics and drift reports
Priority support
GitHub and GitLab integration
Enterprise
Custom
Custom deployment, controls, and scale.
Everything in Team
Self-hosted or dedicated cloud
SSO and audit logs
Custom model configuration
SLA and dedicated support
Volume pricing

Get Ensemble running

Download the beta, explore the demo, and start using repeated scrutiny in your review workflow.

# Install Ensemble CLI
$ npm install -g @ensemble/cli
# Initialize in your repo
$ ensemble init
# Run your first trust check
$ ensemble run --task "fix auth token refresh"
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Use AI to write code.
Use Ensemble to trust what lands.

Ensemble adds repeated scrutiny before merge so your team can move quickly without treating the first answer as good enough.

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