Agent Capabilities
Verifiable intent execution.
Skills compiled from production use, not theory. Cryptographic receipts on every call.
Five questions any agent should answer before calling.
| Who? | did:web:mm.dreamineering.com |
| What jobs? | Five declared below |
| How call? | MCP endpoint — Phase B launch |
| What cost? | x402 micropayment USDC on Base — Phase B |
| How trust? | IntentTrace v1.1 receipt — public endpoint Phase B |
Declared Capabilities
Five tools. All planned.
All status: planned — live MCP endpoints ship Phase B.
falsifiable-prediction
Convert any claim into a machine-verifiable bet: indicator + direction + threshold + check date.
Use when: Long-horizon decision needs a testable bet, not an opinion.
Input
{ claim: string, horizon_months: number }Output
{ indicator, direction, threshold, check_date, counter_case, maturity }flow-state-calibration
Given principal state (phase + pole dominance), return calibrated prompt for phase correction.
Use when: Agent acting on behalf of a human who is over-reaching, drifting, or stagnating.
Input
{ phase: sprint|recovery|reflection|calibration, dominant_pole: dream|engineer|reality }Output
{ prompt, timing, correction, pole_balance }pain-to-prd-classification
Extract pain signals from interview/research text. Score across 5 dimensions. Route to PRD/validate/park.
Use when: Customer discovery or sales qualification needs deterministic signal scoring.
Input
{ raw_text: string }Output
{ signals, scores, classification: create-prd|validate-demand|park, evidence_map }metric-definition
Transform a PRD outcome statement into a queryable metric: formula + threshold + unit + data source.
Use when: PRD or strategy output needs measurable proof, not prose.
Input
{ outcome_statement: string }Output
{ name, formula, threshold, unit, data_source, query }verifiable-intent-validation
Validate agent actions stayed within human-approved scope. Returns pass/fail + audit trail.
Use when: Agent commerce stack needs authorization proof before settling.
Input
{ intent_ref, actions_taken, delegation_chain, scope_constraints }Output
{ verdict: pass|fail, violations, audit_url, intent_trace }Machine-Readable Surfaces
Discover, evaluate, call.
Trust Model
Human in the loop. Always.
Kill Switch
Active — contact matt@dreamineering.com
Human-in-the-Loop
Required above spend threshold + first call from unknown caller
IntentTrace
v1.1 receipt on every tool call (public endpoint Phase B)
Governance
Two Funnels
Human Funnel
berley → hook → bait → fishball → platform
Humans discover via the berley trail — content scored for the right fish.
Same platform. Two funnels. One fishball.