Build a learning experiment. Earn the claim later.
This local-first prototype turns a chosen goal into a cycle of retrieval, spacing, feedback, and reflection. Its curves are planning models, and its short-form results do not establish durable learning, transfer, or cognitive acceleration.
It does not promise higher IQ, diagnose brain health, read thoughts, or recommend nootropics.
Choose
Name one capability and one real-world goal. A narrow target makes change measurable.
Measure
Run alternate-form baselines that record accuracy, latency, confidence, and context.
Train
Use retrieval, spacing, interleaving, feedback, and explanation instead of repeating a game.
Transfer
Test a fresh problem after a delay. If only the practiced task improves, call it practice.
The moat is measured learning, not a magic brain.
Retrieval and spacing have durable learning support. Metacognitive prompts can improve self-regulation. Broad far transfer from brain games and working-memory drills remains unestablished. That boundary is not a disclaimer added at the end. It is the product architecture.
Supported: better acquisition and retention of a chosen skill when practice is structured.
Testable: whether your gains survive alternate forms, time delays, and novel contexts.
Not established: raising general intelligence, IQ, or unrelated everyday ability.
What a useful graph looks like
Model: P(n) = P∞ - (P∞ - P0)e-kn. The parameters are planning assumptions. Only fresh-form results can replace this line with an observed trajectory.
This line is a model to schedule practice. It becomes a real result only after fresh-form observations replace the assumed parameters.
Equations make the coach inspectable.
These equations define measurements, forecasts, and feedback rules. They do not prove that a biological intelligence can be accelerated. Any claim of efficacy still needs a preregistered active-control study.
θₜ = θₜ₋₁ + βᵀuₜ₋₁ + ηₜA learner state changes with bounded interventions and day-to-day variation.
yₜ = θₜ + εₜA score is the state plus measurement noise. Repeated fresh forms reduce uncertainty.
R(t) = e⁻ᵗ⧸ˢA planning approximation for when to retrieve again. It is not a biological law.
BS = 1/N Σ(pᵢ - yᵢ)²Brier score measures whether confidence matches outcomes. Lower is better.
aᶜ = Δ slope / Δ timeA descriptive change in skill-specific learning velocity, not proof of higher IQ.
eₜ = rₜ - yₜ; uₜ = π(eₜ, constraints)The coach observes a gap, selects one action, and measures the next state.
Retention, not only speed
A faster answer on a practiced item can be familiarity. A delayed recall point and a novel transfer point tell a stronger story.
Model: R(t) = e-t/S. This is a scheduling approximation, not a universal biological law. Successful retrieval updates the next review interval.
The acceleration moat survives only if the evidence compounds.
Porter's framework is scored as pressure against the product, where five is strongest. The defenses are specific: alternate-form measurement, user-owned history, transfer checks, and institutional validation.
| Force | Pressure | What compounds |
|---|---|---|
| Threat of New Entrants | 3/5 · Moderate | Claim ledger coverage · Protocol validation · Safety architecture |
| Bargaining Power of Buyers | 4/5 · Moderate-High | Free onboarding · Visible first-session value · Transparent results · User-owned data |
| Bargaining Power of Suppliers | 3/5 · Moderate | Provider abstraction · Minimum scopes · Integration resilience |
| Threat of Substitutes | 4/5 · Moderate-High | Evidence-backed coaching · Longitudinal experiments · User-owned context |
| Competitive Rivalry | 4/5 · Moderate-High | Evidence quality · Return reason · Safety credibility |
Start with a personal experiment. Earn the claim later.
- 01Days 1 to 7: three baselines, no improvement claim.
- 02Weeks 2 to 3: retrieval, spacing, interleaving, and error review.
- 03Weeks 4 to 5: one randomized, reversible behavior comparison.
- 04Week 6: fresh-form transfer and seven-day delayed check.
- 05At 28 days: report effect size, uncertainty, practice effects, and what failed to transfer.
Phroneme helps you improve a chosen capability, shows what changed, and tells you what the result does not establish.
Run your first experiment