LLM Patchwork
- Prompt / context tuning (without over-claiming)
- RAG + retrieval sanity checks
- Hallucination risk reduction via constraints
- Evaluation notes + safe fallback behaviors
Calm execution when systems need fixing. Patchwork for LLMs, AWS, Kubernetes, automation, and web systems — designed for clarity, safety, and real delivery.
We fix noisy systems under pressure: broken workflows, confusing configs, drifting prompts, unstable deployments, or missing structure. Then we leave behind clean notes so the system stays stable after we exit.
No unsafe instructions. No “AI decides for you.” No hidden automation that surprises your team. You stay in command — the Operator supports execution and clarity.
Builders, small teams, creators, nonprofits, and businesses that need real results without drama — and want their systems to be explainable and maintainable.
Pick your lane — we’ll patch the system and stabilize the outcome.
Clarity beats recall. Constraints first. Output second.
We agree on what matters most: stability, speed, UX, SEO, security, or automation — then lock priorities.
We separate “voltage vs load” thinking: what looks fine vs what holds up under real usage.
Fix the break, add guardrails, and define safe failure modes so the system doesn’t spiral later.
You get handoff documentation: what changed, why, and what to watch going forward.
Simple, transparent, and built for repeatable wins.
Best for 1 clear break
Pricing is scoped per issue. Clean estimate after 5–10 min review.
Best for messy systems
Ideal when you have multiple symptoms and one root cause.
Best for ongoing builds
Perfect for teams that move fast but need stability.
Straight answers, no noise.
Send a short message with what’s broken and what “fixed” looks like. We’ll reply with scope and next steps.