Capability 03 · Reusable intelligence
Stop paying the LLM twice. Every answer is a reusable Reasoning Plan.
LangGrant turns each LLM result into a structured JSON Reasoning Plan — readable by humans, editable in the UI, callable by agents, and runnable again without spending new tokens. The system gets more accurate and more efficient the more your team uses it.
How reuse works
Three properties of the Reasoning Plan artifact.
AI projects that emit SQL leave their teams with throwaway artifacts: unreadable to the business, unreliably modified by the model, and re-billed on every repeat. LangGrant emits something better — and then prefers it on every following query.
01 · UI you can read, not code
Every answer becomes a Reasoning Plan your business team can read, review, and change.
The Reasoning Plan appears in the LangGrant UI as a sequence of labeled steps. Each step shows what it does in plain language, with its inputs and outputs laid out in a table you can scan in seconds. Anyone on the team can read it, sign off on it, edit a step, or delete one — no SQL, no JSON viewer, no developer in the loop.
- Each step named in plain English — describing what it does, not how it’s coded
- Edit or delete any step directly from its row — no code, no admin
- Add new steps from a button row alongside the existing ones
- Same screen for analyst, auditor, and finance lead — no separate review tool
- Join table supplies on key id with …
- Compare vs. last quarter …
- Decompose the drop by driver …
- …
02 · Reuse before re-billing
Existing Reasoning Plans are checked first, so similar questions don’t burn new tokens.
When a new question comes in, LangGrant searches saved Reasoning Plans for a match before calling the LLM. If one exists, it runs directly — same answer, near-zero new token spend. If none exists, the new Reasoning Plan is persisted for next time.
- Match on intent and sources, not just literal text
- Run reused Reasoning Plans in milliseconds, not seconds
- Edit a Reasoning Plan once; every future caller gets the improvement
- Callable by humans in the UI and by autonomous agents over MCP
03 · Compounding context library
Every Reasoning Plan enriches the context for the next question. Accuracy goes up with usage.
The Reasoning Plan library is not just a cache — it’s the source of high-quality, usage-validated context that LangGrant feeds to the LLM when an entirely new question arrives. The more your team uses it, the more concise and accurate the context becomes.
- Reasoning Plans annotate the schema with how it’s actually used
- Joins, aggregations, and naming conventions are reinforced by real queries
- Each reviewed Reasoning Plan tightens the context the LLM sees on related questions
- Quality control is a UI review, not a model retraining cycle