Advanced RAG
Hybrid search (BM25 + dense), cross-encoder re-ranking, query rewriting, document-aware chunking, citation tracking, metadata filtering, multi-tenant retrieval.
The same caliber of work you’d get from an Anthropic or OpenAI implementation partner — advanced RAG, Graph RAG, fine-tuning, multi-step agents — at boutique pricing and without the enterprise sales process.
Fully async. No discovery calls, no demos, no zoom marathons. You send a brief → we send a written proposal in 48 hours → you decide.
Anthropic and OpenAI implementation partners deliver excellent work. They also charge $150k+ for engagements that start with a six-week sales process. We deliver the same caliber of production AI work, fully async, at one-third the price.
| Partner shops | Mini Trends | |
|---|---|---|
| Engagement floor | $150k – $500k | $35k |
| Sales process | 4 – 8 weeks of calls | 48-hour written proposal |
| Senior engineer on the keyboard | Sometimes (juniors hidden in rate) | Always (senior-led, no juniors) |
| AI capability ceiling | Frontier (RAG, agents, fine-tuning) | Frontier (RAG, Graph RAG, fine-tuning, agents) |
| Code & infra ownership | Yours, eventually | Yours, day one |
| Async delivery | No | Yes — entire engagement |
Mini Trends is independent. We are not affiliated with Anthropic or OpenAI; the comparison is on capability and price.
The full surface area of modern AI engineering, delivered by a senior-led team. If it is shipping in production somewhere in 2026, we have shipped it.
Hybrid search (BM25 + dense), cross-encoder re-ranking, query rewriting, document-aware chunking, citation tracking, metadata filtering, multi-tenant retrieval.
Knowledge graph construction over unstructured data (LangChain, LlamaIndex, custom). Entity extraction, relationship modeling, graph-aware retrieval for multi-hop reasoning.
LoRA, QLoRA, and full fine-tunes on Llama, Mistral, Qwen, and open-weight models. Distillation from frontier models to smaller production-targets. DPO and preference-tuning where it pays.
Single-agent and multi-agent systems with tool use, function calling, durable state (Temporal, Inngest), human-in-the-loop checkpoints, and replayable execution.
Eval harnesses with LLM-as-judge and deterministic scoring. Production tracing with LangSmith, Braintrust, Phoenix. Continuous shadow evals on real traffic. Drift detection.
Vision (Claude, GPT-4V, Gemini), document understanding, OCR pipelines, audio (Whisper, Deepgram), and voice agents (LiveKit, Pipecat, Vapi).
Vector database selection and tuning (pgvector, Qdrant, Pinecone, Weaviate, Turbopuffer). Embedding model selection. Hybrid index design at scale.
Prompt caching, model routing, speculative decoding, structured output for reliability, response streaming, batch APIs. Bills cut 40–80% on most engagements.
Claude (Sonnet 4.6, Opus 4.7), GPT-5, Gemini 2.5 Pro, Llama 4. Provider-agnostic abstractions where it pays; provider-specific features where it does not.
AI is half the job. The other half is the infrastructure that runs it. We are equally fluent in AWS, GCP, Azure, and the modern PaaS layer — and equally opinionated about when each is the right call.
Bedrock, ECS Fargate, Lambda, RDS Aurora, S3, EventBridge, Step Functions, OpenSearch, IAM. Well-Architected reviews. Cost optimization on six- and seven-figure monthly bills.
Vertex AI, Cloud Run, BigQuery, Pub/Sub, Cloud SQL, Firestore, Cloud Functions, Workflows, IAM. Multi-region deployments and BigQuery ML pipelines.
Azure OpenAI Service, Container Apps, Cosmos DB, Functions, Service Bus, AKS, Key Vault. Comfortable when the enterprise has already standardized here.
Vercel, Fly.io, Railway, Render, Cloudflare Workers + R2 + D1, Supabase, Neon. The right pick for early-stage products that need to ship without a DevOps team.
Terraform, Pulumi, AWS CDK, SST. Reproducible environments, drift detection, secrets management, multi-account and multi-tenant patterns.
Datadog, Honeycomb, Grafana, OpenTelemetry, Sentry, Cloudwatch. SLOs, error budgets, on-call runbooks. Production-grade from day one.
We're deliberately narrow. Greenfield specialists — building net-new AI systems and platforms from zero is what we do best. Brownfield (existing codebase) work is welcome too, especially Engineering Rescue.
LLM-native products, advanced RAG, Graph RAG, agents, and fine-tuned models that survive evaluation.
Custom SaaS, internal tooling, and B2B platforms built for teams that have outgrown templates.
Inherited a broken codebase from a previous shop, contractor, or AI-assisted build? We diagnose, stabilize, and ship the plan.
Most clients prefer not to be named. Industries, architectures, and outcomes are real. References available under NDA on request.
94% auto-resolution
p95 latency 12s · est. $1.4M annual savings · NPS 9.6
37% time saved
Sub-second p50 retrieval · zero PHI egress · expanded to 4 hospital systems
$160k/yr saved
Shipped in 11 weeks · 4× faster ops cycle · zero downtime cutover
Working demo isn't a working system. Here's how we close that gap.
Every line of code shipped by a senior engineer. No juniors hidden in the rate. Our principals do the work, not subordinates.
We use AI tooling aggressively to move faster. We do not ship its first draft. That distinction is the entire job.
Tiered engagements with a published floor. No hourly drift, no scope-creep games. You know the cost before we start.
Code in your repo from day one. Infrastructure in your cloud account. Documentation for your next hire.
Quotes anonymized at the client’s request. Names available under NDA after a brief is exchanged.
“We went from "is this even possible" to a working production system in six weeks. The architecture memo alone was worth the engagement fee.”
VP Engineering
Series B B2B SaaS
“Hired Mini Trends after two failed attempts with offshore vendors. They diagnosed our codebase in two weeks, gave us a written rebuild plan, and shipped it in eight.”
CTO
Healthcare startup
“The async model worked exactly as advertised. We never had a standing meeting. Their work product was better than agencies that demanded weekly demos.”
Director of Engineering
Logistics platform
Every step happens in writing. You will never be asked to schedule a discovery call, sit through a demo, or attend a standing weekly. The site does the selling. The work product does the rest.
Use the structured form on this site. Ten minutes, no calls. You describe the problem, budget range, and timeline; we do the rest.
Either a written proposal — scope, timeline, fixed price, deliverables — or a plain "no, here is why, here is who I would call instead". Always written. Never a sales call.
Standard SOW, e-sign, deposit invoice. No follow-up calls. If you have questions, email them. We answer in writing within one business day.
Code lands in your repo from day one. Weekly written updates with demo links. Slack channel for questions. Optional Loom walkthroughs of major milestones. No standing meetings.
Browse the articles for examples of how we write up architecture decisions, eval results, and shipping plans.
Fixed-scope engagements with a published floor. If your problem doesn't fit a tier, we'll write you back and tell you so.
Most common entry point
$35,000
2 weeks · fixed
A new AI feature, a stalled MVP, or a build-vs-buy question that needs a real answer in writing.
Most engagements land here
From $75,000
6 – 16 weeks · milestone
Ship a production system. Advanced RAG, an LLM agent, a fine-tuned model, or a full bespoke platform.
Fractional CTO
$30,000 / mo
3-month minimum
Force-multiplier for an existing engineering team. Fractional CTO with hands on the keyboard.
All engagements are fully async. No discovery calls, no demos, no standing weeklies. Send a brief, get a written proposal in 48 hours.
Forward this section to procurement. Every common question is answered up front so AP and legal can sign off without back-and-forth.
All engagements priced upfront in USD. No hourly drift, no scope-creep change orders. The number on the SOW is the number on the invoice.
50% on signing, 50% on delivery for fixed-scope. Milestone-based invoicing for builds. Monthly in advance for retainers.
Wire transfer (USD) or US ACH for engagements over $10k. Credit card accepted under $10k via Stripe. Tax invoices issued for international clients.
Default invoice terms are Net 15. Net 30 available for enterprise procurement on request — no questions asked.
W-9, W-8BEN, COI ($2M general liability + $1M E&O), MSA template, mutual NDA — provided before contract on request.
We onboard via Coupa, SAP Ariba, Workday, and similar. Standard vendor packets accepted. Tax-exempt billing handled.
Need something custom? Net 60, milestone variations, tax-exempt billing, escrow, or specific SOW templates — note it in the brief and we’ll accommodate within reason.
Free calculators and decision tools we built for our own engagements. No email gate, no signup. If they answer your question on their own, great — that means you didn't need us.
Real 2026 token prices for Claude, GPT-5, and Gemini. See your monthly cost in 30 seconds — and exactly where you’re overpaying.
Open calculatorEight questions, an opinionated written recommendation. Build it, buy a vendor, or go hybrid — with the rationale that fits your situation.
Take the quizLong-form essays on what actually ships. The same writing voice we use in proposals — read these to know what to expect.
A working demo is not a working system. Here is the practitioner playbook for getting LLM applications into production without the usual midnight failure modes.
Read articleEngineering RescueA practical framework for deciding whether to save the codebase you have or start over — and how to make either choice without losing the next two quarters.
Read articleFractional CTOA founder’s guide to engaging a senior engineering leader part-time — the situations where it works, the situations where it does not, and what to look for in the contract.
Read articleField notes, weekly
A single field-note from production AI engineering — one opinionated take, two or three links worth reading. Unsubscribe with a one-word reply.
The questions procurement, legal, and AP usually ask. If yours is not here, send a brief and ask in the body — we will answer in writing within one business day.
The downside of sending a brief is nothing. The upside is a written, opinionated, senior-engineer take on what you’re building — even if you never engage us.
Send a brief, get a fixed-scope SOW in two business days. Costs nothing. Commits to nothing.
If your project isn’t the right fit, we say so in writing — and refer you to two or three shops who would be. We turn down work most weeks.
On Discovery Sprints, the first 5 business days are refundable if you don’t like the direction. Full deposit returned, no awkward conversation.
Mini Trends is a senior-led practice with a small bench of trusted collaborators we bring in for specialized phases — fine-tuning runs, security audits, design sprints, on-prem deployment work. The bench is short and deliberately so. Every engagement has one principal accountable from brief to handover.
Our principal has been writing software professionally since 2004 — through Rails, into React, and now firmly into the age of LLM-native products. Eight years inside production AI before that phrase existed in pitch decks. Past lives include staff roles at venture-backed startups, principal-track consulting for Fortune 500 platform teams, and three of his own companies (one acquired, two graveyard, all instructive).
We are deliberately small and deliberately async. We say no to most engagements because the bar is high and the bench is finite. If you want a fifty-person agency, this is the wrong page. If you want a senior team that delivers in writing and ships production AI without hand-holding — send a brief.
Ten minutes of writing on your end. Forty-eight hours of consideration on ours. Either a written proposal or an honest no — never a sales call.