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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.

RESEARCH
STRATEGY
CREATIVE
CUSTOMORCHESTRATOR
CLAUDE
GPT
GEMINI
GROK
15 JOBSOAUTHPOLICY GATESTELEMETRY

Private product repository. Architecture facts are derived from the route tree, AI modules, migrations and production job definitions.

57

AI modules

86

API routes

15

scheduled jobs

21

database migrations

System anatomy

Complexity broken into reliable boundaries.

01

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.

02

Multi-provider resilience

Claude, OpenAI, Gemini and Grok are routed by task, with fallback paths that protect critical workflows from provider-specific failures.

03

Operational automation

Authenticated social integrations, scheduled publishing and background jobs turn generated output into a complete production workflow.

04

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

Next system

DeepLead