You will get AI integration sprint: RAG, evals, and guardrails
Project details
You get a production‑ready AI integration, not a demo. I build RAG systems with real ingestion, retrieval, evals, and guardrails so your assistant is accurate, measurable, and safe. I focus on reliability: logging, monitoring, and clear success metrics so you know what’s working. I’ve built full‑stack AI systems with FastAPI, vector databases, and real‑time pipelines, and I ship with clean docs and a deployable service. If you want an AI feature that your team can actually trust, this is the sprint.
AI Development Type
Knowledge Representation, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$997
|
Standard
$1,497
|
Advanced
$3,497
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Extra integration or data source
(+ 2 Days)
+$300
Post‑launch support (2 weeks)
+$400Frequently asked questions
About Jackson
External CTO | Full Stack Engineer
Deizisau, Germany - 5:32 pm local time
Built FastPal Leads with 200 users. Rust backend, microservices, Hetzner.
Built Athenum for crypto analytics. TimescaleDB, WebSockets, real time data.
Stack: Rust, TypeScript, PostgreSQL, Docker.
Frankfurt, Germany. Remote.
Steps for completing your project
After purchasing the project, send requirements so Jackson can start the project.
Delivery time starts when Jackson receives requirements from you.
Jackson works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope: clarify goals, data sources, success metrics
Ingestion setup: docs/URLs/PDFs, preprocessing, vector store