Tools
Plan it, price it, size it.
Three working tools engineering leaders use before a scoping call. Nothing is stored; every number is computed in your browser.
🛠️ Tool 01
Architecture Planner
Map your data stack & design custom AI/RAG loops
Stack Inputs
-
01
Ingest
- CDC with Debezium
- Document parsing & OCR
-
02
Process & Model
- dbt / Spark transformations
- Chunking + embedding pipeline
-
03
Store & Index
- Managed vector DB (pgvector on RDS)
- Hybrid keyword index (OpenSearch)
-
04
Reason
- Managed frontier LLM API (Bedrock / Azure / Vertex)
- Hybrid retrieval + reranker + citations
-
05
Act & Serve
- Chat UI + API with source citations
- SSO + RBAC (Okta / Entra ID)
-
06
Govern & Evaluate
- Eval harness with regression gates
- Audit logging & PII redaction
// Pod to Build This
MODEL A // STRIKETactical Forward Deployed Strike Pair1 Principal FDE + 1 Senior Systems Architect
Time-to-Code SLAUnder 48 Hours
📊 Tool 02
ROI & TCO Calculator
Estimate infrastructure cost savings & deployment returns
Operational Parameters
Formula incorporates 22% headhunter fees, 38-day notice periods, and 4-week context ingestion.
// ACCELERATION TELEMETRYCONFIDENCE 99.4%
Days Saved to Production PR133 DaysImmediate field deployment in < 48 hours vs traditional sourcing funnel.
Capital Saved vs Legacy Sourcing$534,240Eliminates agency commissions, severance risks, and idle runway burn.
Delivery Cycle Velocity2.1x Accelerated
Vector FDE (Active Sprint)Day 2 to Production
Legacy In-House RecruitingMonth 4.5 First Value
- Recruitment Fee Cut
- $253,440
- Runway Shielded
- 4.5 Months
- Guaranteed SLA
- 14-Day Merge
📐 Tool 03
FDE Capacity Estimator
Calculate the engineering pod size required for your project
Project Parameters
Engineers Required3
Embedded Pods1
// Recommended Deployment Model
MODEL B // ACCELERATIONMission Acceleration SquadFull-Stack Embedded Pod of 4 Engineers
- Principal FDE (pod lead)× 1
- Platform & Infra Engineer× 1
- Data / ML & Full-Stack Engineer× 1
Time-to-Code SLAUnder 72 Hours