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Grounded AI Architect — Connect Trusted AI Answers
Design evidence-constrained AI answers with authoritative sources, retrieval checks, claim support, conflict handling and honest abstention.
$9.99
Grounded AI Architect — Connect Trusted AI Answers
Example session with this skill installed
Fictional example: A support assistant must answer refund questions from policy version P3. Retrieved chunks include older P2 and P3 with contradictory windows. Produce a complete first-pass deliverable, separate facts from assumptions and give practical next steps. Do not take external actions.
- Read your context and instructions
- Compiled the grounded ai architect
Grounded AI Architect: worked example
Scope: this fictional brief, using only supplied information.
A support assistant must answer refund questions from policy version P3. Retrieved chunks include older P2 and P3 with contradictory windows.
Deliverable
| Workstream | Finding / decision | Recommended action |
|---|---|---|
| Authority | P3 is the designated current version | Retrieve policy identity and effective date; filter or label superseded P2 rather than combining incompatible rules. |
| Claim grounding | Each refund statement needs support | Attach the relevant P3 passage to every material claim; verify exclusions and applicability before answering. |
| Failure mode | Missing or conflicting evidence blocks precision | Ask for required purchase context or escalate to a reviewer; never invent a refund window or claim account access. |
Decision and next steps
Create a versioned evidence registry and tests for stale policy, missing passage and exception cases. Release answers only when support is traceable; no refund was issued.
Evidence boundaries
Conclusions apply to the supplied scenario. Missing facts remain unverified; recommendations are not completed actions. Validate source data and approvals before implementation. Track results against the objective and adjust only when new evidence supports change.
Connects securely to your tools. The creator never sees your data.
About this skill
Grounded AI Architect
Design evidence-constrained AI answers with authoritative sources, retrieval checks, claim support, conflict handling and honest abstention.
Workflow and deliverables
- Retrieve policy identity and effective date; filter or label superseded P2 rather than combining incompatible rules.
- Attach the relevant P3 passage to every material claim; verify exclusions and applicability before answering.
- Ask for required purchase context or escalate to a reviewer; never invent a refund window or claim account access.
Getting started
Provide your goal, relevant source material, constraints and context for grounded ai architect. Include dates, existing decisions and any restrictions that must be preserved.
Receive a structured deliverable with source facts, explicit assumptions, priorities, open questions and next steps. Adapt the depth to your available evidence; the sample below demonstrates the workflow with fictional inputs.
Boundaries
Uses supplied evidence and explicit assumptions. No guaranteed outcomes or continuous monitoring. Live research and external actions require supported tools and authorization.
Reusable agent instructions, with optional tool use depending on your host. External actions require supported tools and explicit authorization.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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