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observability
// Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
// Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency.
Designs system architecture and selects technology stack based on vision analysis. Use after vision analysis for technical decisions. Triggers on: design architecture, select tech stack, choose framework.
Defines God Committee member behavior and responsibilities with oversight authority. Use when operating as a committee member. Triggers on: god committee, committee observation, council discussion.
Generates Product Requirements Documents (PRD) for new features. Use when planning features or starting projects. Triggers on: create prd, write prd, plan feature, requirements, spec out.
Conducts deep technical research for Aha Loop stories. Use before implementing stories involving unfamiliar libraries or architectural decisions. Triggers on: research this, investigate, explore options, compare alternatives.
Creates and manages project roadmaps with milestones and PRD queues. Use after architecture is defined for project planning. Triggers on: create roadmap, plan milestones, organize prds.
Parses and analyzes project vision to extract structured requirements. Use at project start to understand goals, scope, and constraints. Triggers on: analyze vision, parse project goals, understand requirements.
| name | observability |
| description | Logs AI thoughts and decisions for human observability. Applies continuously throughout all tasks to maintain transparency. |
Maintain transparent, human-readable logs of AI decision-making process.
When running in workspace mode, log to .aha-loop/logs/ai-thoughts.md instead of logs/ai-thoughts.md.
The orchestrator will provide the actual paths in the prompt context.
logs/ai-thoughts.mdAppend to logs/ai-thoughts.md:
## 2026-01-29 14:30:00 | Task: PRD-003 | Phase: Research
### Context
I'm researching authentication strategies for the web app. This is critical
because it affects security architecture and user experience.
### Inner Thoughts
The vision mentions "simple" and "quick to use". Traditional username/password
might add friction. Considering passwordless options but need to evaluate
complexity tradeoffs.
### Decision Point
- Considering: Traditional email/password
- Considering: Magic link (passwordless)
- Considering: OAuth only (Google/GitHub)
- **Chosen:** Magic link with OAuth fallback
- **Reason:** Aligns with "simple" goal, reduces password fatigue,
OAuth provides familiar alternative
### Current Progress
- [x] Read vision requirements
- [x] Research auth options
- [ ] Prototype magic link flow
- [ ] Evaluate email service options
### Observations
- Magic link requires reliable email delivery
- Need to consider rate limiting to prevent abuse
- Session duration is important for UX
### Next Action
Will research email service providers (Resend, SendGrid) and evaluate
their free tiers since budget constraint mentioned "no paid APIs".
---
Configure in config.json:
Express your actual reasoning:
When facing choices:
### Decision Point
- Considering: [Option A] - [pros/cons]
- Considering: [Option B] - [pros/cons]
- **Chosen:** [Option]
- **Reason:** [Why]
- **Tradeoffs:** [What we're giving up]
Be honest about what you don't know:
### Uncertainty
I'm not 100% sure about [X]. My current assumption is [Y] because [Z].
If this proves wrong, I'll need to [fallback plan].
When things go wrong:
### Error Encountered
**What happened:** [Description]
**Why:** [Root cause if known]
**Impact:** [What this affects]
**Recovery:** [How I'm handling it]
## [timestamp] | Task: [id] | Phase: Starting
### Context
[What I'm about to do]
### Approach
[How I plan to tackle it]
### Potential Concerns
[What might go wrong]
### Decision Point
[Structured decision format]
## [timestamp] | Task: [id] | Phase: Complete
### Summary
[What was accomplished]
### Key Decisions Made
- [Decision 1]
- [Decision 2]
### Learnings
[What I learned that might be useful later]
### Concerns for Future
[Any issues to watch for]
## 2026-01-29 10:00:00 | Task: PRD-001 | Phase: Starting
### Context
Beginning the project scaffolding PRD. This sets up the foundation for
the entire project, so I need to be careful about initial decisions.
### Approach
1. First, review the architecture document for tech stack
2. Initialize the project with chosen tools
3. Set up basic structure
4. Configure development environment
### Potential Concerns
- Version compatibility between dependencies
- Getting the directory structure right from the start
---
## 2026-01-29 10:15:00 | Task: PRD-001 | Phase: Research
### Inner Thoughts
The architecture specifies Rust + Axum. I should verify I'm using the
latest stable versions. Let me check crates.io...
### Observations
- Axum 0.7.4 is latest (released 2 weeks ago, stable)
- Tokio 1.35 is latest
- Should use workspace structure for future modularity
---
## 2026-01-29 10:30:00 | Task: PRD-001 | Phase: Implementation
### Decision Point
- Considering: Single crate structure
- Considering: Workspace with multiple crates
- **Chosen:** Workspace structure
- **Reason:** Project will likely grow, easier to refactor now than later
### Progress
- [x] Created Cargo.toml with workspace
- [x] Added main crate
- [ ] Add configuration
- [ ] Add basic error handling
---
## 2026-01-29 11:00:00 | Task: PRD-001 | Phase: Complete
### Summary
Successfully set up Rust project with Axum 0.7.4, configured workspace,
added basic structure with src/main.rs entry point.
### Key Decisions Made
- Workspace structure for scalability
- Tokio multi-threaded runtime
- Tracing for logging
### Learnings
- Axum 0.7 changed some APIs from 0.6, needed to use new Router syntax
### Files Created
- Cargo.toml
- src/main.rs
- src/lib.rs
---
You are thinking out loud for human benefit.
Your logs should read like a competent colleague explaining their work:
Remember: Humans will read these logs to understand what you did and why. Make their job easy.