Writing
Inside the architecture: one engine, two heads
Anand Vashishtha · @AnandVashisht15
Most products bolt AI onto a calendar or a CRM. We built a shared engine first: ingest public signal, persist Memory, reason with deterministic scores, and leave an agent trace. Then we attached two heads — marketing for SaaS founders, VC Brain for investors.
System map
Rendering diagram…
Ingest and Memory are shared. Heads only differ at the last mile: publish a draft vs write a $100K decision-support memo.
- 01
Memory
Signals, Founder Score history, brand context, claims. Append-only where it matters — Postgres dual-write when enabled.
- 02
Intelligence
Distribution gravity, 3-axis screening (never averaged), per-claim Trust, thesis fit, conviction thresholds.
- 03
Experience
Radar → compare → screen theater → memo for investors. Studio → HITL queue for the marketing fleet.
Mapped from The VC Brain brief: Memory · Intelligence · Experience. Marketing reuses the same stack with a HITL gate.
Request path and persistence
Demo mode can run entirely in-process. When DATABASE_URL is set, the same write path dual-writes to Postgres so Radar, memos, and traces survive restarts — without inventing a second source of truth for the UI.
Rendering diagram…
Store stays the fast read path for the hackathon demo. Postgres is the durable ledger when configured.
- 01
Identify
GH · HN · arXiv
- 02
Score
Gravity + Founder Score
- 03
Screen
3 axes, never averaged
- 04
Diligence
Claims + Trust probes
- 05
Memo
$100K YES / NO / WATCH
Five screens judges can walk without a script.
Why this shape wins the hackathon and the company
- Sourcing depth lives in connectors + Memory — not in a single LLM call.
- Trust is claim-level with contradictions; memos flag Cap table: not disclosed instead of inventing numbers.
- The marketing head dogfoods the same loop: drafts, gates, learns.
If you only remember one picture from this post, remember the fork after Reason: same evidence spine, two action vocabularies.
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