AI Architecture Review

Mo ṣàyẹ̀wò architecture ti product/project AI KAN ní ìṣẹ́jú 60. Model selection, RAG pipeline, fine-tuning strategy, inference costs, deployment plan. Ìgbéléwọ̀n tí a kọ ni a máa fi ránṣẹ́ láàárín wákàtí 24.

📖 Want to try it yourself first? Read our free step-by-step guide →

€200 one-time · excl. VAT · Kò sí ìsànípò oṣoṣo, kò sí owó ìpamọ̀

🛡 Èrí 100% owó padà — ìsànípò tó wà láàbò ní́pa Stripe

Forànṣẹ́ nísìnyí — €200

Ìsànípò tó wà láàbò ní́pa Stripe · Mo màá kàn sí yín láàrin wákàtí 2 láti ṣètò àkókò

Ohun tí ó wà nínú

60-minute deep dive into your AI architecture
Model selection evaluation (which LLM, which size, why)
RAG pipeline review (embeddings, vector DB, retrieval strategy)
Fine-tuning feasibility assessment (LoRA, QLoRA, full FT)
Inference cost projection at your expected scale
Written assessment with specific recommendations
Project KAN. Kò pẹ̀lú: implementation, model training, ìgbàníyànjú tí ń lọ lọ́wọ́

Bí ó ṣe ń ṣiṣẹ́

You share your current architecture (docs, code, or verbal)
60-minute call — I ask detailed questions about your setup
I evaluate your approach against production best practices
Written assessment with recommendations within 24 hours
Optional: 15-min clarification call if needed

Dára jùlọ fúnProject/product AI KAN. Ìpè ìṣẹ́jú 60 + ìjábọ̀ tí a kọ. KÌÍ ṣe fún: kíkọ́ ètò AI, ìgbàníyànjú AI tí ń lọ lọ́wọ́, ìkẹ́kọ̀ọ́ models, tàbí ṣíṣàyẹ̀wò ọ̀pọ̀lọpọ̀ products. Ṣé o nílò implementation? Fi orúkọ sílẹ̀ gẹ́gẹ́ bí project lọ́tọ̀ọ̀tọ̀ nípasẹ̀ Custom Engagement.

20+Ọ̀dún ì́rírí

500+Àwọ̀n iṣẹ́ tí a parí

15 minÀkókò àárìn àtúnrún

Tẹ́lẹ̀: Àmúyẹ IT FIBA EuroBasket · Àwọ̀n àkójọ̀pọ̀ Kubernetes · Ìṣẹ́ adááṣe ilé ọ̀gbon. Ìbùdó ní Germany, ṣiṣẹ́ lékè àgíbáyé láti 2003.

Forànṣẹ́ nísìnyí — €200

Èrí 100% owó padà — ìsànípò tó wà láàbò ní́pa Stripe