Problem
Lead generation teams lose momentum when signal detection, qualification, call handling, and CRM handoff are split across disconnected tools and manual follow-up.
R&D case study
StormIQ
Broader lead-automation direction being built on top of WeatherForge and DGM rather than treated as a finished standalone system.
At a glance
Delivery stage
R&D
Current state
Architecture in Progress
My role
Sole architect defining the system direction and building the foundation layers
What was built
StormIQ is the larger workflow direction these systems support. WeatherForge is being built as the event-signal layer, DGM is being built as the orchestration layer, and StormIQ brings those layers together with qualification, decisioning, and CRM handoff so the final workflow is reviewable instead of brittle.
Result
StormIQ is now framed as a serious in-progress program direction, with WeatherForge and DGM acting as the concrete systems under active development
How the system was structured
This section shows the operational logic behind the build, not just the user-facing surface.
Key system pieces
WeatherForge is the upstream signal engine for storm and territory relevance.
DGM is the orchestration layer for state, branching, and human-review seams.
StormIQ is the umbrella workflow tying signal, qualification, and downstream handoff together.
Core constraint
System coherence: the umbrella workflow has to stay honest about what is real today while still defining how signal, orchestration, and downstream actions will fit together
Stack
PythonFastAPIWorkflow OrchestrationQueue-backed JobsCRM Integrations
Proof status
This page separates what is already visible from what is still being prepared, so the proof layer can grow without pretending unfinished artifacts already exist.
Proof surfaces
Real artifacts stay visible. Missing artifacts are labeled directly so this page stays honest and ready for stronger proof later.
System Walkthrough (to be added)
In progressA full StormIQ walkthrough is intentionally deferred until the WeatherForge and DGM layers are mature enough to show as one believable system.
- Umbrella walkthrough to be added after the core WeatherForge and DGM flows are operating together.
- Current proof is the system direction and architecture boundary, not a finished product claim.
Architecture / Flow
Available nowThe architecture direction is real now: a system composed of upstream signal handling, orchestration, validation, and downstream delivery.
- WeatherForge feeds structured event signals into the broader workflow.
- DGM handles state, branching, and reviewable orchestration.
- StormIQ binds signal, qualification, and CRM handoff into one operator-facing system.
Operational Surfaces
Available nowThe intended system surfaces are explicit even though the full proof set is still being assembled.
- Signal review and qualification checks before downstream action.
- Orchestration state visibility instead of hidden agent-only logic.
- CRM and follow-up handoff as a first-class workflow output.
Artifacts & Evidence (to be added)
In progressArtifacts will be added as the underlying systems stabilize. This page is ready for them without pretending they already exist.
- Updated umbrella architecture diagram to be added after WeatherForge and DGM artifacts are finalized.
- End-to-end workflow evidence to be added once the integrated path is running reliably.
Related case studies
More work at a similar delivery stage.
Active Build
Proof surface in progress
Architecture / Flow
The current architecture direction is already clear even though the full artifact set is not published yet.
R&DActive BuildApplied AI & Automation Systems
WeatherForge
Weather-triggered signal and routing system in active development to turn storm activity into usable operational input for StormIQ.
My Role
Sole architect and engineer building the system foundation
Outcome
System boundaries are defined for signal ingestion, normalization, territory relevance, and downstream routing; implementation is in progress
PythonFastAPIGeospatial ProcessingEvent Routing
Read case studyActive Build
Proof surface in progress
Architecture / Flow
The architecture direction is already concrete: stateful orchestration, controlled branches, and explicit review seams.
R&DActive BuildApplied AI & Automation Systems
DGM
Workflow orchestration layer in active development for managing state, decision flow, and human review inside StormIQ.
My Role
Sole architect and engineer building the orchestration layer
Outcome
Execution model is defined for graph-driven workflow state, validation boundaries, and human review seams; implementation is in progress
PythonFastAPIWorkflow GraphsQueue-backed Jobs
Read case study