Results for “decision”

Architecture Decision Records (ADR) — a lightweight method for capturing important architectural decisions with context, trade-offs, and rationale. Based on Michael Nygard's ADR pattern and Google/Meta/ByteDance's design documentation culture. USE WHEN: deciding between technology choices, designing new architecture, changing existing architecture, documenting why a decision was made, onboarding new team members, or preserving design context for future maintainers. Triggered by terms like "tech choice", "architecture decision", "why did we choose", "design rationale", "ADR", or "architectural decision record".

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Add one optional Codex critique to a decision draft produced by council. With explicit consent to send the draft to OpenAI, examine weak conclusions, missing failure scenarios, and overlooked dissent before the user makes the final decision.

• Reviewing an ambiguous, consequential decision draft
• Finding failure scenarios missing from a draft
• Checking whether strong dissent was overlooked

Create a Markdown questionnaire for decisions that depend on someone else's knowledge. Clarify the recipient and needed answers, then organize focused questions so an expert or stakeholder can respond before or during a meeting.

• Preparing questions for an expert
• Collecting stakeholder input before a decision
• Gathering specific answers during a meeting

Document why software decisions were made, which alternatives were considered, and what trade-offs remain. Create architecture decision records, README guidance, API documentation, and changelogs that help future contributors and AI agents understand the project.

• Recording design decisions and rejected alternatives
• Documenting public API changes
• Updating README setup instructions

Create an HTML policy briefing deck about expanding urban tree canopy for city councils and agency reviewers. Organize public needs, evidence, policy options, and funding decisions within a consistent forest-green and cream presentation template.

• Preparing an urban greening proposal for city council
• Organizing policy evidence and options for agency review
• Presenting a funding decision in a policy briefing

Create HTML slides about choosing and connecting AI models in OpenDesign using your own API key. Use a terminal-style template to explain costs, quality, and model routing decisions, with speaker notes and presentation controls.

• Explaining model choices to engineers and IT teams
• Comparing model costs, quality, and routing decisions in slides
• Preparing a terminal-style presentation with speaker notes

Turn interviews, support tickets, surveys, and product context into a single HTML workspace for decisions. Link findings to evidence, compare improvement options, show uncertainty, and outline experiments that help teams choose what to try next.

• Combining interviews and support tickets into findings
• Comparing onboarding improvement options
• Sharing evidence and uncertainty with stakeholders

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

Work through project decisions one question at a time, with a recommended answer and a short explanation. Record settled choices in project documentation, including scope, completion criteria, constraints, risks, and unresolved questions.

• Clarify project goals through a decision interview
• Agree on deliverables and completion criteria
• Record settled decisions in project documentation

Work through project decisions one question at a time, with a recommendation and brief reasoning. Record each settled answer immediately in project documentation, keeping unresolved questions visible and documents marked as drafts until explicitly accepted.

• Clarify goals and boundaries before implementation
• Record decisions as an interview progresses
• Preserve decisions when discussions are interrupted

Make system architecture decisions by clarifying requirements and constraints, comparing benefits and drawbacks, and considering simpler alternatives. Record the reasoning in ADRs, architecture decision records, so significant choices and their rationale are documented.

• Clarifying requirements before system design
• Comparing architecture patterns
• Documenting decisions and rationale in ADRs

Make system design decisions by clarifying requirements, identifying constraints, and comparing the benefits and drawbacks of different approaches. Record the reasoning in architecture decision records, or ADRs, while considering simpler alternatives and the team's experience.

• Organizing requirements before designing a system
• Comparing architectural patterns and trade-offs
• Documenting the reasons behind design decisions

Guide an agent through searching past decisions before work, saving new decisions with their reasons, and treating corrections as lessons. The workflow helps distinguish useful long-term knowledge from temporary details, code facts, and routine activity already captured by hooks.

• Checking earlier decisions before starting a task
• Saving a resolved issue with its underlying reason
• Preserving lessons from corrections

Examine strategic decisions through a structured meeting of AI agents representing executive roles. Gather independent recommendations, challenge assumptions, summarize disagreements, and record approved decisions with action owners and deadlines after the founder reviews the proposal.

• Evaluate market expansion from several executive perspectives
• Compare views on product direction or pricing
• Review hiring plans and organizational choices

Store phase documents verbatim in MemPalace, organized as decisions, plans, or milestones. Avoid duplicate entries and mirror decision or delivery facts into a knowledge graph that records when those facts became valid.

• Preserve decision documents with their source information
• File plans and summaries by document type
• Record dated decision and delivery facts in a knowledge graph

Design a GenLayer review workflow for agents acting on a blockchain. Define evaluation criteria, evidence formats, decision outputs, and the connection needed to turn review decisions into restrictions or revocation of delegated authority.

• Define review criteria for delegated agents
• Structure action logs, receipts, and spending evidence
• Design decisions to continue, warn, constrain, or revoke

Coordinate work across AI agents with shared rules for locating team files, recording decisions and their reasons, and requesting help. It also defines who owns revisions after a reviewer rejects an artifact.

• Locate team files across separate working directories
• Record decisions that affect other agents
• Request input from another specialist

Turn existing research notes into an authoritative knowledge article after a team has made its decision. Records the outcome, rationale, trade-offs, and rejected alternatives while preserving source notes and links showing which documents the article replaces.

• Documenting a decision after research
• Combining several research notes into one reference
• Updating an authoritative article with replacement links

Create AgentDB learning plugins that use recorded experience to improve agent decisions. Choose a learning method, store states, actions, and rewards, train models, and evaluate suggested actions through CLI and API workflows.

• Train agents from historical experience
• Build decision-making for games and navigation
• Combine experience from multiple agents for training

[omh] Previously rejected options to revisit: recall scoped reviewed rejected decisions without elevating them to approved memory. Use when the user says: decision-recall, rejected decision recall, rejected decisions, why was this rejected, previously rejected alternative, 거절된 결정, 기각된 대안.

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Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

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Create an Architecture Decision Record (ADR) for any technical decision. Use when asked to document a technical decision, write an ADR, record an architecture choice, or capture why a technology or approach was selected. Produces a structured ADR with context, decision, consequences, and tradeoffs.

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Two-layer memory for executive decisions, separating raw deliberation from approved decisions to prevent hallucinated consensus. Use when logging decisions, reviewing past decisions, or checking overdue action items.

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