Frontier AI Automations
Production agent systems that run real work — multi-agent orchestration, tool use, scheduled jobs, browser automation, CRM/ops pipelines, and always-on watchers that ship outcomes instead of demos.
We design, build, automate, and operate — AI systems, data platforms, payments, APIs that didn’t exist until a project needed them, domains, servers, analytics, brand, and film. The whole stack, end to end.
How we work with the models
Production agent systems that run real work — multi-agent orchestration, tool use, scheduled jobs, browser automation, CRM/ops pipelines, and always-on watchers that ship outcomes instead of demos.
Knowledge graphs, entity maps, retrieval structures, and relationship models that give agents durable memory and context — so answers stay grounded in your data, not vibes.
Closed feedback loops: observe → plan → act → verify → correct. Human gates where they matter, automatic retries where they don’t. Built so systems improve instead of drift.
System prompts, skill libraries, evaluation rubrics, tool contracts, and model routing — the control plane that makes frontier models reliable, auditable, and on-brand for your business.
What separates us from everyone else
We jailbreak frontier models — and we race to do it on every new release. When a new frontier model ships, we’re already stress-testing it: adversarial prompts, policy edges, tool-use bypasses, multi-turn manipulation, and novel attack surfaces. That edge is rare. Most shops only use the model. We map where it breaks — so you know the real capability and risk profile before you bet a product, a contract, or a national-security-grade workflow on it.
This is the kind of capability governments, defense-adjacent teams, and serious enterprises need: independent evaluation, red-team reports, and hard truth about what a model will and won’t do under pressure — not marketing demos.
New model drops → we run structured jailbreak and adversarial campaigns immediately. First-mover understanding of strengths, failure modes, and exploit paths.
Multi-turn attacks, roleplay edges, tool/agent chain abuse, obfuscation, and policy-boundary probes — documented findings, not vibes.
Clear reports for decision-makers: what broke, how hard it was, residual risk, and whether the model is fit for controlled or high-stakes deployment.
Turn red-team results into system prompts, filters, eval suites, and agent guardrails so your stack doesn’t inherit the same holes we just found.
Side-by-side robustness across Claude, GPT, Gemini, Grok, open-weight frontier, and whatever ships next — so you pick models with eyes open.
Continuous re-test after model updates and policy changes. Jailbreak surface moves; we track it so your risk posture doesn’t go stale overnight.
When the system won’t talk to us, we make it
Model Context Protocol is how agents touch the real world. We’ve been deep in it from day one — wiring premade MCPs the first day they shipped, building our own when nothing existed, and forking and modifying large “box” MCPs (vendor / official / community servers) until they fit the job — not the other way around.
Connect, auth, and operationalize official and community MCP servers the moment they drop — GitHub, databases, browsers, cloud, office suites, and the rest of the ecosystem. First-day adopters, not late installers.
We’ve built hundreds of our own MCP servers for real systems: databases, CRMs, email, calendars, commerce, servers, monitors, and internal tools. Production wiring agents can actually run on — not demos.
Take a heavyweight vendor or “kitchen sink” MCP and reshape it: strip what you don’t need, harden auth, scope tools, fix broken contracts, and bend the interface to your workflow so agents get signal instead of noise.
Multi-server setups across Claude, Grok, Cursor, Codex, and custom agents — consistent tools, secrets hygiene, and tool contracts so every agent speaks the same language to your stack.
If it can be reached, we’ve wired it
We’ve connected every type of API across every type of connect — REST, GraphQL, SOAP, gRPC, webhooks, WebSockets, server-sent events, OAuth1/2, API keys, mTLS, signed requests, session cookies, partner sandboxes, and ugly private endpoints that only half-work. When someone else’s site had no API, we didn’t wait: we stood up our own API on top of their product so the project could use it like a first-class system.
REST, GraphQL, SOAP/XML, gRPC, JSON-RPC, form posts, multipart uploads, paginated dumps, rate-limited public APIs, and undocumented partner feeds — same discipline: auth, retries, idempotency, truth checks.
OAuth and SSO, API keys, bearer tokens, HMAC/signed headers, mTLS, IP allowlists, basic auth, cookie sessions, VPN tunnels, and hybrid “browser + API” flows when the vendor only supports one half of a handshake.
No public API? We build one anyway — reverse-engineer, wrap, scrape, stabilize, and host a clean interface over someone else’s product so our stack can call it like it always existed.
Design and ship our own APIs for products we control: versioned routes, auth, rate limits, webhooks out, OpenAPI docs, and agent-safe tool contracts.
Turn REST/GraphQL/webhooks into agent-native MCP tools with typed inputs, safe defaults, and audit-friendly actions. Humans keep the API; agents get the MCP.
Webhook verification, reconciliation, dead-letter queues, backoff, schema drift, and “did the money / the lead / the record actually land?” checks so integrations don’t silently rot.
Measure what matters. Act on it.
Standalone analytics practice — not buried under “SEO.” Event design, funnels, revenue attribution, operational dashboards, cohort analysis, and pipelines that turn raw traffic and transactions into decisions. We instrument, validate, and report so the numbers are trustworthy.
Conversion funnels, checkout drop-off, LTV signals, cohort views, and operator dashboards that answer “what’s actually working?”
GA4 setup, events, conversions, enhanced measurement, attribution hygiene, and reporting that operators can use — not vanity vanity-metrics.
ETL/ELT into warehouses, scheduled transforms, and SQL-backed reporting when browser tags alone aren’t enough.
Event taxonomies, tracking plans, QA, and clean measurement so A/B tests and launches don’t lie to you.
Search Console + ranking + crawl data joined with on-site behavior — visibility that connects SEO work to real outcomes.
Internal analytics tools, BigQuery / SQL notebooks, and agent-readable metrics so humans and AI can both query the truth.
Where the truth lives
Warehouse design, loads, scheduled queries, and analytics at scale on Google’s data stack — when the spreadsheet dies and the business needs a real store of record.
Schema design, migrations, performance, RLS patterns, and production Postgres for products that need a real relational core.
Serverless Postgres, branching workflows, and modern cloud-native database ops — fast environments without babysitting boxes.
Auth, Postgres, Realtime, Storage, Edge Functions, and full app backends — plus agent-friendly sync and admin tooling.
Archive → reload, multi-source reconciliation, and zero-tolerance count checks when moving live business data between systems.
MCP and API layers over your warehouse and app DBs so multi-agent teams can query and act without sharing raw credentials everywhere.
We’ve wired almost all of them
Checkout, subscriptions, refunds, webhooks, tax edges, and failure modes — integrated across the processors real businesses actually use. Including Helcim and the rest of the field. If it takes a card or ACH, we’ve probably already debugged its webhook at 1 a.m.
Processor not listed? If it has docs (or doesn’t), we can still make checkout work.
One-time, recurring, trials, proration, dunning, and upgrade paths that match how you actually sell.
Idempotent handlers, ledger alignment, failed-payment recovery, and “did money actually clear?” truth checks.
Switch or dual-run processors without rewriting the whole commerce stack — abstraction that survives vendor drama.
Keep it live, findable, measurable
Registration, DNS, transfers, multi-domain portfolios, SSL, redirects, and clean ownership — nothing left to chance at the root of your presence.
VPS / cloud setup, nginx, SSL, hardening, process managers, deploys, monitoring, uptime, and incident response. We keep the metal (and the containers) honest.
Indexation, coverage, sitemaps, canonicals, crawl budget, rich results, and issue triage. Expert Search Console work so Google sees what you meant to publish.
Technical SEO, content systems, internal linking, schema, and AI-era search visibility. Built to be found by people and machines.
Hardened hosting, backups, firewall rules, secrets hygiene, and zero-drama SSL renewals so the product stays online while you build the next thing.
Uptime monitors, logs, alerts, and deploy hygiene so you know it’s broken before the customer does.
Product, brand, commerce, film
Custom-built sites from scratch. No templates, no page builders. Fast, clean, yours — with performance and SEO as first-class constraints.
Dashboards, calculators, portals, internal tools, and public utilities. If it runs in a browser and needs to do real work, we build it.
Catalogs, carts, checkout, multi-processor payments, and post-purchase flows. Built to sell — not just to look like a store.
Logos, color systems, typography, guidelines, and visual DNA that holds across web, print, video, and product UI.
Drone, product, brand content — shot, edited, delivered. Profuctions Video →
Merkle pipelines, on-chain anchoring, proof explorers, and auditable data systems — when “trust me” is not enough.
Human + multi-agent engineering
We code side-by-side with frontier agents — Claude, Grok, Codex, Cursor, and custom multi-agent stacks — across the languages below. Same standards either way: exact, reviewable, production-ready.
Frameworks & platforms we use daily
Need a language not listed? If it has a compiler, an API, or a shell, we can put agents on it.
Tell us what you’re building — or what should be running without you.
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