refactor: replace 3-Sets diagnostic with focused attention filters and memory

The 3-Sets framework doesn't transfer well to agents — all three
dimensions are fully visible and controllable config, not hidden
human psychology. Removed the branding, kept the practical bits:

- attention-filters: what context each archetype receives (token savings)
- memory: persistent learnings across orchestrations (project knowledge)

README.md

@@ -88,7 +88,8 @@ archeflow/
 │   ├── do-phase/                    # Maker implementation rules
 │   ├── check-phase/                 # Reviewer protocols (all 4)
 │   ├── shadow-detection/            # Recognizing and correcting dysfunction
-│   ├── agent-diagnostic/            # 3-Sets analysis for agent configuration
+│   ├── attention-filters/           # What context each archetype receives
+│   ├── memory/                      # Persistent learnings across orchestrations
 │   ├── autonomous-mode/             # Unattended overnight sessions
 │   ├── custom-archetypes/           # Creating domain-specific roles
 │   └── workflow-design/             # Designing custom workflows
@@ -144,22 +145,6 @@ pdca:
   act: { exit_when: all_approved, max_cycles: 2 }
 ```
 
-## Agent Diagnostic — The 3-Sets Lens
-
-Before orchestrating, ArcheFlow diagnoses each agent across three dimensions:
-
-| Set | Question | Fix |
-|-----|----------|-----|
-| **Tool-Set** | Does the agent have the right capabilities? | Add missing tools, remove noisy ones |
-| **Skill-Set** | Is the model tier matched to the task? | Adjust model, don't compensate with tools |
-| **Mind-Set** | Is the archetype prompt focused and aligned? | Sharpen prompt, don't compensate with model |
-
-**The chain principle:** The weakest set caps the output. An Opus model with a vague prompt wastes money. A Haiku with a focused archetype and the right tools outperforms it at 1/50th the cost.
-
-**The alignment principle:** Three modestly configured agents that are aligned outperform three individually excellent but misaligned agents.
-
-Based on the [3-Sets Method](https://git.xorwell.de/chris/workspace) — an integrative diagnostic framework for Tool-Set, Skill-Set, and Mind-Set alignment.
-
 ## Philosophy
 
 ArcheFlow is built on three beliefs:
@@ -170,8 +155,6 @@ ArcheFlow is built on three beliefs:
 
 3. **Autonomy needs structure.** Agents left to their own devices produce mediocre results. Agents given clear roles, typed communication, and quality gates produce exceptional work — even overnight, even unattended.
 
-4. **Fix the weakest set, not the strongest.** Don't upgrade the model when the problem is a bad prompt. Don't add tools when the problem is wrong model tier. Diagnose first, then invest where it matters.
-
 ## License
 
 MIT