IoT fleet dashboard
Production dashboard work with 400+ sensors and 10-second refresh cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
Living build blueprint
Turn the messy build idea into a scoped sprint.
Bring the product, automation, AI workflow, or landing page you need to ship. I’ll map what to build first, what to skip, what it costs, and how fast we can get a usable version live.
Book a blueprint callTry the scoping console
Proof-of-work, not a brochure: the page itself scopes before it sells.
No scope drafted yet
Try: We need to route inbound leads into CRM summaries before sales calls.
Proof thesis
The pitch is the operating style.
The page is intentionally raw because the work starts raw: unclear scope, half-shaped ideas, scattered tools, and a deadline. The value is turning that into a build path you can act on.
Lead-intelligence pipeline
AI pipeline that researched and scored 84 companies with zero manual work, cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
Lead-qualification agent
AI agent that writes summaries and pushes structured output to CRM, cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
Four sprint lanes, one operating system.
Hover a lane to trace where the work pays off.
AI workflows
Qualification, routing, CRM summaries, internal copilots, and agentic flows that remove manual handoffs.
Best when the work already exists but lives across people, tabs, and tools.
SaaS prototypes
Working product slices for sales calls, investor updates, founder validation, and internal buy-in.
Best when a deck is not enough and a full product is too early.
Finance engineering
Dashboards, automation, data flows, portfolio tools, and operational surfaces for high-stakes decisions.
Best when correctness and clarity matter more than decorative UI.
Landing/product surfaces
Sharp pages and product interfaces that explain the offer, prove the mechanism, and move visitors to one action.
Best when conversion depends on making the build path obvious.
01 · Scope card
Scope
We turn the vague ask into constraints: user, data, first useful version, edge cases, and what not to build.
02 · Working slice
Build
I ship the core path before ornament: API shape, UI flow, recommendation logic, and the handoff point.
03 · Decision log
Validate
We check what breaks: mobile, copy, empty states, guardrails, trust, and whether the page earns the call.
04 · Build path
Handoff
You get the working surface, source, documented contracts, and the next build decision.
Proof ledger, not vanity tiles.
No invented logos. No fake metrics. Use the artifacts already documented in the mocked concierge copy, then replace these with real screenshots when source material is approved.
Dashboard trace
IoT fleet dashboard
Production dashboard work with 400+ sensors and 10-second refresh cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
Dashboard trace · source-backed placeholder
Research pipeline
Lead-intelligence pipeline
AI pipeline that researched and scored 84 companies with zero manual work, cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
Research pipeline · source-backed placeholder
CRM handoff
Lead-qualification agent
AI agent that writes summaries and pushes structured output to CRM, cited in the existing mocked concierge copy.
Existing mockRecommendation portfolio answer
CRM handoff · source-backed placeholder
Objections answered before the call.
Is this an AI agency?
No. The offer is founder-speed product building: scoped surfaces, automations, prototypes, dashboards, and AI workflows. AI is part of the toolkit, not the category costume.
Do I need a finished spec?
No. The blueprint call is for the messy stage. Bring the goal, constraints, current tools, and deadline; the first job is deciding what should be built first.
Can this be more than a landing page?
Yes. The preserved backend contracts already cover sessions, chat recommendations, leads, events, fit, and booking handoff. The landing page is one surface on top of that system.
How fast can a sprint move?
The page should not promise a universal timeline. Use the call to scope the first usable version, then set a timeline based on data, integrations, and risk.
What happens after the call?
You leave with a build path: first shippable version, what to skip, likely risks, and whether the work is a fit for a sprint.
Is the AI console real?
The current backend is deterministic and mocked, but the UI, validation, response contract, and booking handoff are real. The real LLM/backend phase should keep the same contracts.
Bring the messy version. Leave with the build path.
If there is a product, automation, dashboard, or AI workflow you keep postponing because the scope is fuzzy, book the blueprint call. We will make the first shippable version concrete.
Book the blueprint call
The AI demo is proof-of-work. The call is the conversion.