Compress your 80-hour SE pack into a single afternoon.
Drop your mission brief into Blueprint. 10–15 minutes later you have a 35-artifact NASA SE Handbook §6.7-aligned SE pack — stakeholder expectations through SRR / SDR / PDR / CDR readiness — every shall-statement and trade-study claim cited back to a specific chunk of your source brief. Defensible the way a hand-written pack is defensible, in 0.3% of the time.
Free tier · no card required · upgrade when an engagement justifies it.
The math, in your terms.
Wall time for the full Phase 1.4 pack, end to end.
Verified against the persisted ARCHIPELAGO 2026-06-09 smoke.
DeepSeek backbone, measured. Your variable cost per engagement.
Independent judge over each Requirement → DocChunk link.
One Pro engagement at $5,000 covers ~33 years of the Pro tier. One Phase 1.4 run replaces ~80 hours of artifact-authoring you'd otherwise bill at $200/hr. The arbitrage is the product.
What you ship to your client.
Every run produces 35 artifacts across the NASA SE Handbook §6.7 phases. Downloadable as a `.zip` of markdown, plus standards exports (OMG ReqIF 1.2, SysML 2 text + JSON, SysML 1.x XMI) for tools your client already runs.
Stakeholder Expectations
- ·Stakeholder register
- ·Needs / Goals / Objectives tree
- ·MOEs + measurement baselines
- ·Operational scenarios (ConOps)
- ·Constraints register
Technical Requirements
- ·Requirements doc (Functional / Performance / Interface / Constraint)
- ·MOPs traced to MOEs
- ·TPMs with criticality + thresholds
- ·Verification method per shall
Logical Decomposition
- ·Functional architecture
- ·Component breakdown
- ·DTRs (Derived Technical Requirements)
- ·Interface register
- ·Allocated Baseline trace
Design Solution
- ·Design specs per component
- ·Interface specs (build-to)
- ·Trade studies + selected alternatives
- ·Risk register
- ·Verification + Validation activities
- ·Enabling products plan
Phase-Gate Readiness
- ·SRR / SDR / PDR / CDR readiness assessments
- ·Per gate: entry criteria status, exit criteria status, blocking findings, reviewer recommendation
Deep dives.
Three topics from the pack, with the engineering detail your reviewer will ask about.
AI requirements writer
Shall-statements with rationale, T / A / I / D verification method, and source citations. Compared vs hand-writing and generic LLM prompts.
Automated ConOps generation
Nominal + off-nominal operational scenarios with stakeholders, environment, MOE-linked performance expectations, and citation per claim.
AI shall-statement writer (deep dive)
Anatomy of a Blueprint shall — type, verification, level, rationale, traces, citation — and how to read the citation chain.
Why your reviewer won't tear it apart.
Every shall-statement, every trade-study claim, every phase-gate finding — cited back to a specific chunk of the source brief. The reviewer sees `[DC-12]`, clicks through, lands on the paragraph in your brief that justified the claim. The Handbook §6.7 sections are referenced explicitly. The citation precision is measured at 80% (independent judge running over each claim → source link).
What that means for the consulting motion: when a reviewer challenges a derived requirement, you show them the citation. When a customer asks “why this trade score?” you show them the rationale chunk. The same traceability discipline you’d hand-build over 80 hours, surfaced automatically because the graph schema is the Handbook’s schema.
Not AI-written prose with a spell of confidence. Cited artifacts with structural traceability, generated against the canonical SE reference.
Pricing for solo consultants.
3 runs per month
Validate fit before committing
No card required
100 projects per month
$2.00 per project after
One year of typical consulting
Frontier-model variant
When the brief is technical enough to warrant it
Same project budget
Pro covers 100 projects per month at $149. A typical solo consultant runs 8–20 SE engagements per year — Pro fits your cadence with room for the inevitable revision cycles and client what-ifs.
Three steps to your first run.
- 1
Sign up free
Email + Google or GitHub. No card. ~30 seconds.
- 2
Upload a brief
PDF, markdown, or plain text. 1,000–3,000 words is the sweet spot. Bring an old engagement's brief if you have one; otherwise borrow a public solicitation.
- 3
Click Generate, watch the pipeline
11 agents work the brief in 10–15 minutes. The dashboard shows each agent in flight. RunComplete is where you download the bundle + the standards exports.
Questions consultants ask.
Will AI-written artifacts hold up in a CDR?
Every claim cites a specific DocChunk ID in the source brief; every gate is assessed against the Handbook's canonical entry + exit criteria. The reviewer can trace any sentence in the requirements doc back to the paragraph in the brief that justified it. Citation precision measured at 80% on the ARCHIPELAGO smoke.
Can I edit the artifacts after generation?
Yes — the bundle is markdown. Open in your editor, make your engineering team's voice changes, ship the pack. Blueprint produces the draft; you sign off.
What about IP / confidentiality of my client's brief?
Your brief is private to your account. Blueprint does not train on your data; no shared dataset exists. The model providers (DeepSeek, Gemini, OpenAI) are called via API per their data-retention terms; see the privacy + subprocessors pages for the full picture.
Does Blueprint replace Cameo / Capella / Rhapsody?
No. Those are modeling-language editors. Blueprint generates the work product the modeling language describes. Use the standards exports (SysML 2 text / JSON, SysML 1.x XMI) to drop Blueprint output into your client's existing tool.
What if the brief is too small / too big?
Sweet spot is 1,000–3,000 words. Below that, the agents lack context for some sections; above that, the run takes longer + tokens cost more. The full Phase 1.4 run completes 10–15 minutes regardless; quality scales with brief detail.
Your next engagement, in an afternoon.
Free tier. No card. 3 runs a month. Run one against an old engagement’s brief and compare. The math speaks for itself.
Start free →