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MakershotMakershot

AI Feature Integration

Drop AI into your product, properly

Add a well-designed AI feature to your existing app — streaming, cost-aware, safe, and actually useful.

$2,400from1–2 weeks
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Deliverables
  • Scoped AI feature in your existing app
  • Streaming UI with graceful fallbacks
  • Prompt engineering + guardrails
  • Cost monitoring + rate limiting
  • Integration tests for happy path
  • Documentation for your team
Best for
  • Products adding their first AI feature
  • Teams replacing a brittle prototype
  • Startups needing cost-aware inference
  • Founders who tried Bolt-on chatbots
Process

How we deliver.

01

Discovery

Days 1–2

Map the job-to-be-done, define success metrics, and audit your existing stack.

02

Prototype

Days 3–5

Working integration in a branch with streaming, guardrails, and cost caps.

03

Polish & ship

Days 6–10

Error states, monitoring, team docs, and production deploy.

Add-ons

RAG pipeline

$1,200

Document ingestion, embeddings, and retrieval-augmented generation.

Eval suite

$800

Automated quality checks for prompt outputs.

Multi-model routing

$600

Fallback chains and cost-optimized model selection.

Related case studies
Legal / complianceAI Integration

AI document extraction for legal ops

Their team spent 4+ hours per contract manually extracting key clauses. They needed structured data from PDFs without building an entire ML pipeline.

−72%
Processing time
10 days · $2,800Read case study
FAQ

Common questions

Which AI providers do you support?+
OpenAI, Anthropic, Google, and open models via Hugging Face or Replicate. We pick based on your use case and budget.
How do you handle costs?+
Rate limiting, per-user caps, and model selection tuned to your budget. We set up monitoring so you're never surprised.
Can you work in our codebase?+
Yes. We slot in via PRs, adopt your conventions, and document everything for your team.