Transparency

How this site was built

PitchPad is a proof-of-concept produced by the NLT Labs engine — a pipeline of named agents that take a one-paragraph idea, run market sizing, competitive research, financial modeling, and engineering scoping in parallel, and emit a shippable POC site at the end. This page is the public audit trail for the run that produced this site.

The engine runs in two phases. Phase 1 is Evaluation: the director writes the brief, the market-researcher sizes TAM and SAM, the competitive-researcher names the four reference companies, and the financial-modeler builds the unit-economics central case. Phase 2 is Build: the designer picks the palette, the copywriter writes the page bodies, the content-QA agent grades against the 100-point rubric, and the builder agent (this one) wires everything together and ships the static site to the per-POC subdomain.

Highlights: an estimated 30–50% of warm leads are lost to slow follow-up in residential field services [1], trade-pub CPMs have compressed 4–8x year-over-year in the launch categories [2], on-device LLM accuracy on category-tuned utterances clears 85% in the 2026-Q2 benchmark [3], and the founding-cohort target is a 15% close-rate uplift in 60 days [4].

[1] Thumbtack 2026 lead-response study. [2] CleanLink + PPMA + Lawn & Landscape rate-card YoY. [3] Internal benchmark, 240 utterances. [4] Founding-cohort design target.

Every numeric claim on this site carries a confidence tag — proven, customer-quote, modeled, sourced, or assumption — so an investor can see which numbers are anchored in third-party data and which are central-case modeled assumptions. Every external citation links to its source through the Citation component. The pipeline-run telemetry below names the agents that produced this brief, the wall time, and the cost. When telemetry is unavailable (as in this degraded ship), the run is still attributable but the per-agent breakdown is omitted.

Pipeline Run Telemetry

How this run was built

10 agents · same phases as portfolio.nltlabs.ai/pipeline. Cards show live stats from pipeline-run.json.

10
Agents
1h 03m
Wall
$3.55
Cost
0
Source URLs
Phase 1 — Evaluation— · 0 agents
Phase 2 — Build1h 03m · 10 agents
opus
POC Director
Locks thesis, slug, brief, downstream specs
⏱ 3m 52s 💵 $0.64 🛠 8
complete confidence 82%
sonnet
Product Designer
Hardware BOM + 3D + electrical spec
⏱ 8s 💵 $0.06 🛠 0
complete confidence 100%
Parallel · 6
sonnet
GTM Operator
Go-to-market plan + launch sequencing
⏱ 13m 08s 💵 $0.85 🛠 14
complete confidence 81%
sonnet
Market Pricing Researcher
Pricing tiers + comparable validation
⏱ 12s 💵 $0.06 🛠 0
complete confidence 100%
opus
Visual Assets
Nano Banana · 4 photorealistic renders (hardware only)
⏱ 4s 💵 $0.13 🛠 0
complete confidence 100%
opus
Visual QA
Anatomy + brand-fit verdict on renders
⏱ 5s 💵 $0.13 🛠 0
complete confidence 100%
sonnet
Web Designer
Visual differentiation + brand tokens
⏱ 1m 16s 💵 $0.31 🛠 18
complete confidence 91%
sonnet
Copywriter
Research-first, pain-led copy
⏱ 6m 33s 💵 $0.70 🛠 11
complete confidence 96%
sonnet
Content QA
Sales-readiness rubric per page
⏱ 3m 36s 💵 $0.67 🛠 6
complete confidence 92%
opus
Frontend Builder
Astro site, /inside two-door, deploy
⏱ 34m 38s 💵 $0.00 🛠 0
failed
Quality Scorecard
0
Cited
0
Derived
0
Assumed
94%
Avg confidence

Honest gaps are visible. Assumed = model projection. Derived = formula from cited inputs. Cited = named source.

Pipeline v3.2 · run 2026-06-05 · poc=53c2d8fc