Evidence-first growth systems
Diagnose what moves growth. Fix the right lever.
Essays, formulas, and no-login tools for deciding what to change first. TokenMaxer starts with one likely bottleneck, then gives you one reading path and one workbench.
Today's path
Friction → Bad CPA → CPA Workbench
If traffic is not the real problem, stop treating CPA as a single score. Map the constraint before changing spend.
Current constraint Friction is likely the limit. Conversion loss before traffic price. Read the diagnosis Bad CPA Is Not a Diagnosis: A Constraint Map for Meta Ads A practical Meta ads operating model: decompose CPA into price, friction, value, and confidence, then use bubble charts to decide what to scale, fix, lower, or kill. 18 min Proof Formula-backed model Inspectable example data and an explicit formula. Use next CPA Decomposition Workbench Separate click price from conversion friction in the Meta ads constraint map.
Latest essays
16 published Confidence AI Agent Control Gates: Stop Bad Agents Before They Act A practical control layer for production agents: monitoring, observability, tracing, security, MCP authentication, governance, evaluation, testing, human approval, and prompt caching. Jun 17, 2026 · 8 min Confidence Agent Observability: Trace What Agents Decide and Do A production agent observability guide with trace schemas, failure modes, and monitoring/security handoffs. Jun 17, 2026 · 8 min Confidence Agent Testing: Test Plans for Tool-Using AI Systems A practical agent testing plan for tool-using AI systems with scenarios for prompts, tools, retrieval, permissions, approvals, and budget stops. Jun 17, 2026 · 8 min Confidence Agent Tracing: A Practical Schema for Tool-Using AI A practical agent tracing schema for teams building tool-using AI agents, with fields for turns, tools, policy, cost, evals, and approvals. Jun 17, 2026 · 8 min Confidence AI Agent Evaluation: Gates That Catch Bad Behavior A practical AI agent evaluation guide with an eval gate for task success, tool use, groundedness, policy compliance, and regression testing. Jun 17, 2026 · 8 min Confidence AI Agent Governance: Approval, Audit, and Eval Gates A practical governance framework for production AI agents, with owners, risk tiers, approval paths, eval gates, and audit requirements. Jun 17, 2026 · 8 min Confidence AI Agent Monitoring: Metrics, Logs, and Stop Conditions A practical monitoring checklist for production AI agents: runtime metrics, loop detection, tool-call errors, budget stops, cache regressions, and escalation rules. Jun 17, 2026 · 8 min Confidence AI Agent Security: Threat Models for Tool-Using Agents A security threat model and checklist for production AI agents that call tools, touch private data, and trigger external actions. Jun 17, 2026 · 8 min Confidence Human Approval for AI Agents: When Agents Should Stop A human-approval matrix for AI agents that need to send messages, move money, deploy code, change data, or take customer-visible actions. Jun 17, 2026 · 8 min Confidence LLM Observability: When Basic Telemetry Stops Working An LLM observability guide that explains where model telemetry ends and agent observability begins. Jun 17, 2026 · 8 min Confidence MCP Authentication: Gate Agent Access to Tools Safely An implementation-oriented MCP authentication guide for teams connecting agents to restricted servers and sensitive tools. Jun 17, 2026 · 8 min Confidence MCP Security: Review Checklist for Agent Tool Servers A practical MCP security checklist for teams connecting AI agents to tool servers, private resources, and external actions. Jun 17, 2026 · 8 min Confidence Prompt Caching: Cut Agent Cost Without Breaking Quality A production-agent prompt caching guide for reducing cost without breaking context, eval, and trace behavior. Jun 17, 2026 · 8 min Friction Bad CPA Is Not a Diagnosis: A Constraint Map for Meta Ads A practical Meta ads operating model: decompose CPA into price, friction, value, and confidence, then use bubble charts to decide what to scale, fix, lower, or kill. Jun 16, 2026 · 18 min Confidence Better Embeddings for Vector Search Start Before the Database A practical argument for better embeddings: use LLMs to compile raw evidence into semantic cards, query probes, hard negatives, trust metadata, and eval harnesses. Jun 16, 2026 · 13 min Confidence Agent Harness Architecture: 15 Jobs Around the Model Loop A practical architecture guide for production agents: decompose the harness into replaceable jobs, design prompt caching into context layout, enforce tool policy in code, separate sessions from world state, and gate irreversible work. Jun 16, 2026 · 16 min
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Four constraints, shown as rows.
Price Traffic cost CPM, CTR, CPC, auction pressure, and attention quality. Friction Conversion loss The handoff from click to product, checkout, approval, or activation. Value Revenue AOV, margin, retention, LTV, payback, and business value. Confidence Signal Evidence quality, sample size, attribution, traces, and monitoring.