0→1 agentic product MVP
Founder with a sharp wedge, no 12-person eng org.
Auth, core agent loop, tool calls, deploy to AWS, basic evals — a product users can click, not a Figma graveyard.
Outcome Production URL + runbook in 2–4 weeks.
USE CASES
What we actually ship.
Illustrative patterns — not fake case studies. Pick the division that matches the pain. We scope a Strike around one outcome and ship in weeks.
Build AI-native products, AI data platforms, and BI analytics from zero. Open Forge →
Private knowledge brain (RAG that cites)
Ops / support / legal teams drowning in PDFs and wikis.
Hybrid search over your corpus, forced citations, “I don’t know” when empty, eval set from real questions.
Outcome Internal knowledge app over your systems of record, with sources.
Domain copilot for specialists
Professional services, fintech ops, clinical admin (non-diagnostic).
Copilot trained on your playbooks and templates — drafts work product; humans approve before it leaves the building.
Outcome Desk tool that cuts draft time without unsupervised send.
Classical ML + LLM blend
Fraud, ranking, forecasting teams who still need tabular models.
Gradient boosting (or similar) for the score; LLM agent for explanation, triage, and next actions — shared events, not a research lab.
Outcome Score + agent workflow in one shippable slice.
Put agents inside tools you already run. Open Embed →
Support triage that never sleeps
Support lead with a queue that never empties.
Agent reads the queue in your ITSM / support stack, classifies, drafts replies, escalates P1s with an audit trail. Humans own irreversible sends until you say otherwise.
Outcome Faster first response; clear escalation path.
RevOps enrich → qualify → system of record
Sales ops tired of spreadsheet archaeology.
Enrich leads, score fit, update the CRM / revenue platform, nudge follow-ups — idempotent writes, no double-messaging.
Outcome Cleaner pipeline data; hours back every week.
Eng PR review / doc upkeep
Eng managers with review bottlenecks.
Agent reviews diffs against your standards, flags risk, drafts doc updates — never merges without a human.
Outcome Shorter review queues; fewer silent doc rot spots.
Back-office reconcile & report
Finance / ops chasing the same weekly pack.
Pull systems of record, reconcile exceptions, draft the Monday pack — approvals before anything hits email or the board folder.
Outcome Same report, fraction of the grind.
Attack AI systems before someone else does. Open Edge →
Prompt-injection & jailbreak red-team
Anyone shipping an agent that reads email, PDFs, or the web.
Offensive pass on indirect injection, tool exfil, confused-deputy IAM — written scope only. Findings are point-in-time.
Outcome Ranked findings + hard mitigations before go-live.
Agent permission & tool-abuse review
CISO / eng lead before agents get write access.
Allowlists, dual-control for irreversible actions, kill switch, secrets hygiene — treat the agent like a privileged service account.
Outcome Permission model you can defend in an audit.
AI compliance audit trail
Buyers who need proof, not vibes — regulated or enterprise sales.
Who approved the action, what data touched the prompt, retention paths — controls that survive a real review.
Outcome Evidence pack + gaps closed in the sprint.
Continuous Edge retainer
Teams that ship agents every month.
Repeat red-team on changes, watch CloudTrail-style drift, tighten guardrails as tools expand.
Outcome Security keeps pace with capability.
The company, staffed by role agents — humans in command. AI Company OS →
AI Company OS v0
Founder or operator who wants an exec-grade operating layer without a full bench.
Strategy, ops, finance, security agents — and the same pattern for sales, support, delivery — shared tools, weekly rhythm, approvals.
Outcome Operating layer live; one human reads the briefing.
Weekly operating brain
Small teams drowning in chat and status noise.
Ops agent consolidates blockers, owners, and the one thing that matters — Monday note, not another dashboard to ignore.
Outcome One briefing. Clear owners. Less thrash.
Spend & runway watch
Bootstrapped or seed teams watching AWS + SaaS burn.
Finance agent reads cloud and SaaS spend, flags spikes, drafts the ugly truth for the human to decide.
Outcome No silent bill shock.
Secure-by-default OS
Anyone who won’t ship agents without a CISO seat.
Security agent watches access, prompts, vendors — Edge controls baked into the OS from day one.
Outcome Operating layer that doesn’t become the breach.
These are patterns we scope as Strikes — fixed outcome, fixed price, weeks. Book a strike call