Custom agent runtime
A purpose-built orchestrator and Anthropic tool loop coordinate model calls, tools and long-running workflows instead of relying on a single prompt-response endpoint.
Multi-model agent platform
LaunchPilot
An AI growth operating system, not a content wrapper.
LaunchPilot coordinates research, generation, review, scheduling and publishing across a large multi-model system. It combines a custom Anthropic tool loop with production integrations, scheduled jobs, fallbacks and observability so the product can keep operating when providers or external APIs fail.
LaunchPilot · Orchestrator
RESEARCH
STRATEGY
CREATIVE
PUBLISH
CUSTOMORCHESTRATOR
CLAUDE412ms ✓
GPT
GEMINI
GROK
Live simulation of the system's real behavior. Private product repository. Architecture facts are derived from the route tree, AI modules, migrations and production job definitions.
Operating loop
01Strategy & research
02Agent orchestration
03Model routing
04Review & policy gates
05Scheduled publishing
06Telemetry & recovery
57
AI modules
86
API routes
15
scheduled jobs
21
database migrations
System anatomy
Complexity broken into reliable boundaries.
Multi-provider resilience
Claude, OpenAI, Gemini and Grok are routed by task, with fallback paths that protect critical workflows from provider-specific failures.
Operational automation
Authenticated social integrations, scheduled publishing and background jobs turn generated output into a complete production workflow.
Production control plane
Observability, failure handling, OAuth, Stripe and persistent job state make agent behavior measurable and recoverable after deployment.
Engineering judgment
The decisions behind the build.
Seniority is not the number of technologies in a project. It is the ability to identify failure modes early and choose boundaries that keep the system understandable after launch.
Models are infrastructure
Each provider is treated as a replaceable capability with explicit routing and fallback behavior, not as the application architecture itself.
Long-running work needs state
Publishing and research workflows are represented as observable jobs so retries are controlled and failures are visible.
Integrations define reliability
OAuth expiry, rate limits, partial success and provider downtime are designed into the workflow rather than handled as edge cases later.
Production stack
Chosen for the system.
Next.js 16React 19TypeScriptSupabasePostgreSQLAnthropicOpenAIGeminiGrokStripeOAuthVercel Cron