Products & AI systems we've shipped

Design and build a modern e-commerce website with an embedded AI shopping assistant: natural-language product discovery, grounded answers from the catalog and policies, and checkout nudges that lift conversion.

Build a HIPAA-conscious patient portal with an intake agent: appointment booking, structured history collection over chat or voice, and clinician-ready summaries — with strict guardrails and human escalation.

Build a law-firm website with two agents: a client-intake agent that qualifies matters and books consultations, and a case-search agent that answers questions over the firm's document corpus with citations.

Join the SkyHunter partner pool and pick up overflow agent builds from our client pipeline. A few projects a month, fully remote across the US, LATAM, and Europe.

Build a support agent that lives in their onboarding flow, resolves setup questions against product docs, and escalates cleanly. Ship it inside their web widget.

Build a retrieval agent over a large, versioned HR policy corpus with strict grounding and jurisdiction awareness. Accuracy and citations are the whole point.

Adversarially test a production LLM agent, document repeatable failures, and implement input/output guardrails and an eval suite that keeps them fixed.

Run a structured bake-off across models and prompts on the client's actual task set, then recommend a config with an accuracy-vs-cost tradeoff writeup.

Build a pipeline that generates and curates training data for a domain fine-tune: synthesize examples, filter with quality checks, and produce a validated dataset.

Build a copy-generation agent grounded in a brand style guide and product catalog, producing on-voice drafts for human review inside their CMS.

Build a contract-analysis agent that extracts obligations, dates, and risky clauses from uploaded agreements and produces a reviewer-ready summary.

Build a pipeline that takes long-form transcripts and generates show notes, timestamped highlights, and platform-specific social posts for review.

Build an agent-assist copilot embedded in their helpdesk that suggests grounded reply drafts and surfaces relevant context in real time.

Audit an existing RAG pipeline and lift answer quality: fix chunking, add reranking, tighten prompts, and prove the gain with before/after evals.

Build an in-product assistant that answers usage questions from the docs and executes common actions via the app's API, all inside a sidebar UI.

Build an onboarding agent that answers new-hire questions from policy docs and orchestrates the setup checklist across their HR systems.

Build an adaptive tutor agent over their curriculum that answers questions, checks understanding, and adjusts explanations to each learner.

Build a conversational analytics agent over their data warehouse: translate questions to safe SQL, run it, and return summarized answers with the chart and the query it used.

Build a Tier-1 support agent integrated with their account systems that resolves common requests and hands off complex ones with full context.

Build a conversational voice agent to replace a legacy IVR: natural intent handling, account lookups, and clean transfers to the right human team.

Build a Q&A agent over their docs and forum history that gives cited answers in Discord and on-site, and defers to humans when unsure.

Build a low-latency voice agent for spoken language practice that holds natural conversation, gives feedback, and tracks progress per learner.

Stand up an automated evaluation pipeline for their patient-intake assistant: build a graded test set, wire LLM-as-judge scoring, and gate deploys on the results in CI.

Build a content-moderation pipeline that scores listings and messages against policy, auto-actions clear cases, and queues ambiguous ones with an explanation.

Build a pipeline that ingests meeting transcripts, produces structured summaries and action items, and creates tasks in their PM system automatically.

Build a claims-intake agent that validates submissions, extracts structured data from attachments, and routes by type and priority with a full audit trail.

Build an evaluation agent that reviews generated course content against accuracy and clarity rubrics and blocks weak lessons before they ship.

Build a search agent over their scattered internal knowledge and expose it as an MCP server so their IDE and Slack bot can both query it. Freshness and access control matter.

Upgrade a keyword search to hybrid semantic search over a large content library and tune relevance with a real query eval set.

Build a multilingual support agent that detects language, answers from a shared KB, and keeps tone natural across locales, with human handoff per region.

Build a personal email agent that classifies, prioritizes, and drafts replies in the founder's voice, all held for one-tap approval.

Build a pipeline that clusters resolved support tickets, drafts help-center articles for the gaps, and feeds them back into a searchable knowledge base.

Build a document-processing agent that ingests supplier invoices, extracts structured data, reconciles against purchase orders, and pushes clean records into their accounting system.

Build a verification layer that cross-checks the app's generated claims against retrieved sources and flags or rewrites anything unsupported.

Build an analysis agent that ingests social mentions, classifies sentiment and topics, and produces a weekly narrative of what's moving and why.

Build an LLM-assisted data-quality agent that profiles tables, detects suspicious records, and produces human-readable issue reports for the data team.

Ship a retrieval-augmented support agent over their document corpus: chunk and embed the knowledge base, wire up hybrid search, and return cited answers inside their existing help widget.

Build an intake agent that gathers structured medical history via voice or chat, follows a clinical protocol, and hands a clean summary to the provider.

Build a scheduling agent that handles inbound service requests, optimizes against technician availability and location, and confirms bookings automatically.

Build a support agent that auto-resolves order-status, returns, and FAQ tickets against their help center and order data, and hands complex cases to humans with context attached.

Build a Slack-native agent that exposes their common ops tasks as safe tool calls, so the team can trigger workflows and lookups by chatting.

Build a natural-sounding voice agent that handles inbound scheduling end to end: understands intent, checks live availability, and writes the booking back to their practice-management system.

Build a reconciliation agent that ingests transactions, matches and categorizes them against the ledger, and surfaces exceptions with explanations.

Design and run a multi-step agent workflow that enriches new leads, scores fit, and drafts personalized first-touch emails for human approval. Ongoing retainer to tune and expand it.