Ongoing Engineering
$5,000 – $10,000/month · Month-to-month. Iterations, monitoring, feature additions. For teams that need AI engineering capacity without a full-time hire.
The system is live. It works. Your team is using it. And now someone wants a new feature. The model provider released a better version and you need to evaluate it. A data source changed its API and something broke quietly. Usage doubled and the response times are creeping up. Your system doesn’t need a rebuild — it needs an engineer who already knows it.
Hiring a full-time AI engineer for maintenance and iteration is a $200K+ commitment for a role that might need 20 hours a week. Contracting a new developer means weeks of onboarding before they’re productive — and they’ll architect differently than the person who built it, creating inconsistency that compounds over time.
Ongoing engineering solves both problems. You get the engineer who built your system — or one with equivalent expertise — on a monthly retainer. They know the architecture, the edge cases, the decisions that were made and why. When you need a feature, it gets built correctly the first time. When something breaks, it gets fixed by someone who doesn’t need to read the codebase first.
Month-to-month. No annual contracts. No minimum commitment beyond 30 days notice. When you need capacity, you have it. When you don’t, you stop. The relationship scales with your needs, not the other way around.
Six capabilities. One retainer. Full coverage.
New capabilities, new integrations, new workflows. Built with full context of the existing architecture — no technical debt introduced by bolt-on changes.
Response times, error rates, model quality, cost trends — tracked continuously. Issues caught and resolved before they affect users.
When providers release new models, we evaluate them against your specific use case. If the upgrade is worth it, we implement it. If it isn’t, we tell you why.
When something breaks — and in production, things break — you have an engineer who can diagnose and fix it without a two-week discovery period.
Cost reduction, latency improvement, throughput scaling. The system gets better over time because someone is actively looking for inefficiencies.
Architecture docs, API docs, and runbooks kept current as the system evolves. The documentation matches the system — not the version from three months ago.
The Cadence
Each month starts with a priority call. You tell us what matters most — new features, performance issues, technical debt, upcoming integrations. We scope the work, estimate the hours, and execute. Weekly async updates keep you informed without standing meetings. At month end, you get a summary of everything delivered and the system’s health metrics.
March 27, 2026 — 11:42 AM
Always Watching
Between active development work, your system is monitored continuously. Error spikes, performance degradation, cost anomalies, and model quality drift are all tracked. When something moves in the wrong direction, we investigate proactively — not when a user files a ticket. Most issues are resolved before anyone outside engineering knows they existed.
Full Visibility
Every month, you get a detailed breakdown: hours spent, features delivered, issues resolved, and system health metrics. No vague “maintenance and support” line items. You see exactly what was done, why it was done, and what it cost. If the system is stable and you don’t need active development, we’ll tell you to pause. We’d rather earn trust than bill hours.
We built your system and you want the same team to maintain and evolve it. Fastest path to value — zero ramp-up time.
Your engineering team is strong but doesn’t have AI-specific expertise. You need someone who has shipped production AI systems to handle the AI layer while your team owns everything else.
You need 20–40 hours a month of senior AI engineering. Not enough for a hire. Too much to ignore. The retainer gives you exactly the capacity you need.
$5,000 – $10,000/month
Month-to-month · 30 days notice
Hours scale with the tier. Start where it makes sense, adjust as you go.
Production AI systems are never finished. They evolve with your business, your data, and the underlying technology. Ongoing engineering ensures that evolution is intentional, well-documented, and delivered by someone who knows the system inside out.
30-minute discovery call · No pitch deck