Operating stack hub
Borrowed frameworks, studio tools, model routes, and eval harnesses mapped to RECON/RAID, with tier honesty and receipts on every row.
This is the hub for how Exiid runs: borrowed frameworks with attribution, proprietary gates, studio tools, model routes, and eval harnesses. Everything maps to RECON or RAID, with a receipt on every row.
Who this is for
For: partners and buyers who want process transparency before they send a brief.
Useful when: you need to see what we actually run, not a framework slide deck.
What must be true
Transparency without receipts is theater. Every item in the operating stack answers four questions:
| Question | The bar |
|---|---|
| Attributed | Borrowed frameworks name the source |
| Mapped | Each item ties to RECON, RAID, or cross-cutting gates |
| Tiered | Runs, Install, or Bench, never vague "we use AI" |
| Receipted | Link to memo, venture, or live artifact |
01 — Three layers of honesty
Frameworks are how we think: JTBD, Theory of Constraints, Shape Up, and others credited in full on Method.app.
Tools are what we run or install: six layers from intelligence research through ops and security, tier-labeled.
Harnesses are what we own: context rails, eval golden sets, runtime checks, blast-radius caps. Models are rented; harnesses compound.
02 — RECON and RAID mapping
RECON (Discover + Validate) is decode, demand tests, and go/no-go before build capital moves.
RAID (Build + Launch + Scale) is instrumented product, measured launch, and scale only where unit economics hold.
Cross-cutting workflows (Brief Desk, eval loop, kill archive) span both.
03 — Where to read next
| Topic | Memo |
|---|---|
| JTBD in transfer work | JTBD in model transfer |
| Studio tools by layer | Enterprise tooling stack |
| Models, agents, harnesses | AI models and harnesses |
| Bottleneck thinking | Theory of Constraints for operators |
| Sprint appetite | Shape Up at Exiid |
| Instrumentation | North Star and instrumentation |
Receipts
- Method.app operating stack: live index with tier badges
- AI Systems Design: Autonomy Ladder and Approval Line
- One operator, many agents: how the stack runs day to day
- Public kill archive: when gates fail, the memo stays public