Right model.
Right task.
Fewer mistakes.

AI Bridge uses trained model combinations based on task shape, complexity, user preference, and routing history. It is not a random router and not a generic agent layer. Control stays with the user while execution gets more specific over time.

Try 3 free demos →

Built for developers who want trained model combinations, preference-aware execution, and control that stays with the user.

Single‑model workflow
one model forced onto every task
user preference handled manually
direction drifts when the work changes shape
AI Bridge
trained model combinations by task shape
preference-aware execution with user control
routing history helps preserve direction across turns
Trained model combinations, preference-aware execution, and user-held control.

Preview a real task before you commit

Paste a bug, repo task, error log, diff, or workflow you want AB to handle. The preview is for task handling, not general web search or factual lookup.

Task preview 3 FREE TRIES — no signup
Preview
Debug this error Review this diff Plan a code patch Turn this task into steps
AB
Hi, I’m AB. Paste a bug, repo task, error log, diff, or workflow to get started.

Most real work continues in your terminal with aibridge.

AI Bridge can make mistakes. Verify technical specs, current facts, and important information before relying on them.

3 free demos included

Coding-first terminal and editor workflows

Keep your existing terminal or editor flow. AI Bridge adapts trained model combinations underneath for coding work, preserves prompt shape, and keeps the visible workflow steady while harder tasks earn deeper checks.

# Install AI Bridge, then create an account for your exact setup command
curl -fsSL https://getaibridge.com/install.sh | bash
# Full key is shown once after account creation
aibridge

Preference-aware execution. When context grows harder, AI Bridge adapts underneath while keeping your workflow shape and direction intact.

0ms
Added latency
1 line
Integration

Why developers choose AI Bridge

Task

Trained model combinations

Not random routing. AI Bridge learns which model mix fits the task shape, complexity, and expected outcome.

Quality

Preference-aware execution

As usage patterns become clearer, routing gets more specific — not just cheaper, but more aligned with how the work should be done.

Control

Your workflow, better directed

Keep your existing SDK flow. AI Bridge handles model adaptation underneath and preserves direction when the work gets harder.

Start with credit — no subscriptions

Pre-pay, route real work, and top up only when it proves itself.

Test credit

$1
Quick account-bound checkout
Total added: $1

Starter

$5
Small top-up
Total added: $5

Standard

$10
Most common tester pack
Total added: $10

Builder

$25
Longer beta sessions
Total added: $25

Power

$50
$50 + $5 bonus
Total added: $55

Starter credit appears after key signup. Bonus credit, when offered, is shown on the selected pack before Stripe checkout. Rewards and referral credits post to your internal balance automatically.

$1 test · $5 starter · $10 standard · $25 builder · $50 power (+$5 bonus). Terms · Privacy · Acceptable Use

More control, more visibility

Add-ons that raise confidence, smooth harder work, and expand control without exposing internal cost math.

Bill Guard

Spend Guard, Benchmark Guard, and a Weekly Digest so usage stays confident without exposing provider cost detail.

Live · $19/mo

Priority Queue

Faster handling on harder work, preferred queueing during high load, and smoother completion on higher-risk tasks.

Available now · $20/mo

Team Vault

Seat-based team wallet controls, role budgets, and clean visibility for founders, CTOs, and team operators.

Early access · seat pricing in product

X-Ray

Usage Intelligence for workflow insights, routing outcomes, spend trends, and repeated workload opportunities.

Early access · limited access

Approval Gate

Hold higher-risk output behind a lightweight approval step before it reaches the next user, customer, or deploy action.

Early access

Session Memory

Keep repeated work more consistent across turns with stronger continuity for recurring task patterns and user direction.

Early access

Common questions

How does AI Bridge pick the right model?
It uses trained model combinations informed by task shape, complexity, user preference, and routing history. The goal is better fit and better direction, not random routing.
Is this a router or an autonomous agent?
Neither in the generic sense. AI Bridge keeps control with the user and adapts model combinations underneath based on task shape, complexity, preference signals, and routing history.
What happens on harder work?
On selected routes we run checks and may escalate or retry. Higher-risk work gets more scrutiny than routine turns, while the visible workflow stays consistent.
Does this work with my existing terminal or editor flow?
Yes. Use your issued AB key, launch AB from terminal, and keep your prompts and workflow shape consistent across the work.
What do starter credit, bonus credit, and rewards actually mean?
Starter credit appears after key signup. Larger top-ups can include bonus credit. Referral and reward credits post to internal balance automatically and stay inside the product.
How does Team Vault work?
Team Vault is the seat-based workspace layer for shared wallet controls, role budgets, and team visibility. It is meant for founders, CTOs, and operators who want tighter control without changing the underlying workflow.
What data do you keep?
Public landing demos avoid prompt storage. Signed-in product flows keep limited request, continuity, billing, and support records so the service can route work, keep sessions stable, and maintain correct ledger history.
Do you train on raw user prompts?
The public product does not promise unrestricted training on raw user content. We retain operational data, routing outcomes, de-identified analytics, and abuse-prevention telemetry as described in the legal pages.

Invite friends, both get credit

Refer a developer, they make a purchase, you both get credit. Closed‑loop rewards.

Adaptive routing
Quality checks where needed
Public demo avoids prompt storage