Services

Three engagements. Four shapes each.

Three services — positioning & GTM, end-to-end product building, frontier AI engineering. Each carries four engagement shapes: advisory, project, retainer, embedded. The shapes below are explicit about scope, duration, and what lands in the first month.

This page is for companies hiring an operator on a defined engagement. Solo and stuck on an AI build? The playbook is a better first step.

01

Positioning & GTM

You built it. Enterprise teams still aren't buying. I run the positioning research, customer interviews, and sales-call analysis that turn a feature-comparison platform into the category buyers actually want. Specialty: selling data and security into financial institutions — banks, insurers, the procurement committees that don't move fast.

Anchor: Guardicore → Akamai ($80M pipeline; repositioned from honeypot-lead to visibility + east-west microsegmentation); SurveyMonkey Enterprise ($1M+ contributed toward the Nasdaq IPO).

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Advisory

Scope
Monthly positioning review + narrative pressure-test against live deals + go-to-market decisions.
Duration
4-6 hrs/month, ongoing.
First-month deliverable
Positioning audit memo (8-10 pages) — your current state vs. the buyer's actual question, with the gap named.

Project

Scope
Full repositioning research → narrative → sales enablement. Customer interviews, sales-call analysis, category research.
Duration
8-12 weeks, defined scope.
First-month deliverable
30 customer interviews + 50-call sales-call analysis + interim category-shift memo by week 4. Final positioning playbook + sales narrative by close.

Retainer

Scope
Embedded GTM advisor + monthly narrative iteration. Continuous tuning of the message and the channels carrying it.
Duration
Month-to-month, 6-month minimum.
First-month deliverable
Initial positioning shift + 90-day GTM roadmap + first sales enablement update in month one.

Embedded

Scope
Acting head of GTM strategy for the engagement window. Owns the narrative, partners with product + sales.
Duration
3-6 months, 3 days/week.
First-month deliverable
Full positioning + GTM playbook + first sales narrative iteration shipped + sales team trained by end of month one.

02

End-to-end product building

Most AI ideas die in the gap between demo and production. Strategy, design, code, security, launch — one operator, one signature, no relay race.

Anchor: Ordani — HIPAA-grade practice management software, solo built, 14 doula practices in private beta; HR-author full-stack engagement (website + content engine + GTM + bespoke product).

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Advisory

Scope
Monthly product strategy review + technical architecture pressure-test. Roadmap, build-vs-buy, and security posture.
Duration
4-6 hrs/month, ongoing.
First-month deliverable
Product audit + technical-architecture recommendations memo. Roadmap critique with named tradeoffs.

Project

Scope
Concept → shipped MVP. User research, technical architecture, design system, first features in production.
Duration
12-20 weeks, defined scope.
First-month deliverable
15-25 user interviews + technical architecture document + design-system foundations + first feature shipped by week 8.

Retainer

Scope
Ongoing product partnership through launch + iteration. Sprint cadence, feature delivery, roadmap stewardship.
Duration
Month-to-month, 6-month minimum.
First-month deliverable
Sprint cadence established + first feature shipped + 6-month roadmap synced with the founder in month one.

Embedded

Scope
Acting head of product or CTO for the engagement window. Full ownership of build velocity + product quality.
Duration
4-8 months, full-time engagement.
First-month deliverable
Team setup + first major feature shipped + security and compliance posture documented in month one.

03

Frontier AI engineering

Your AI works in the notebook. Production is a different stack — eval infrastructure, orchestration, retrieval, deployment. I run that stack.

Anchor: ongoing engagements (specifics under NDA). Production stack across frontier models with eval infrastructure, RAG and agent orchestration, prompt-deployment pipelines.

Inquire about an engagement

Advisory

Scope
Monthly AI architecture review + LLM strategy pressure-test. Model choice, eval design, failure-mode mitigation.
Duration
4-6 hrs/month, ongoing.
First-month deliverable
AI stack audit + production-readiness assessment. Named gaps with prioritized fix sequence.

Project

Scope
Production AI feature build — RAG, agent, eval pipeline, orchestration layer. Defined-scope shipped artifact.
Duration
6-12 weeks, defined scope.
First-month deliverable
Technical design + eval infrastructure + first production deployment by close. Documentation handed to your team.

Retainer

Scope
Embedded AI engineering partnership. Continuous integration of new model capabilities, ongoing eval work, prompt iteration.
Duration
Month-to-month, 6-month minimum.
First-month deliverable
First eval framework iteration shipped + prompt-deployment pipeline live + documented failure-mode inventory in month one.

Embedded

Scope
Acting head of AI engineering for the engagement window. Owns architecture, deployment, and the bar for production AI quality.
Duration
3-6 months, 3-4 days/week.
First-month deliverable
AI architecture documented + first production deployment shipped + eval infrastructure foundations live + team onboarded by end of month one.

Next step

Discovery call before any engagement.

Every engagement starts with a 30-minute call to name the shape and the fit. No deck, no sales pitch — just whether the work maps to what you actually need.

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