OKR Backlog — Emerging Objectives

Operations

Last updated: 2026-02-22 · Author: Brenner Axiom

These are themes and potential objectives that have emerged from our work but aren’t yet part of the formal quarterly OKR cycle. They represent strategic directions worth considering for Q2 2026 or promotion into the current quarter if priorities shift.

🏛️ O-Candidate: On-Chain Governance for #B4mad

Signal strength: 🟢 Strong — Active work, deployed contracts, published research.

The DAO work has grown beyond a single key result. What started as infrastructure exploration is becoming a core pillar of #B4mad’s identity: community-governed, on-chain decision-making.

Why it matters: #B4mad’s mission is decentralized, community-driven tech. A functioning DAO is not just tooling — it’s the governance layer for the entire network.

Potential Key Results:

  • KR: Complete E2E governance cycle on testnet (propose → vote → execute → verify)
  • KR: Define and publish tokenomics (allocation buckets, vesting schedules, treasury governance)
  • KR: Deploy to at least one mainnet or production L2
  • KR: Onboard 3+ token holders who participate in a governance vote

Evidence:

📝 O-Candidate: Thought Leadership & Publishing

Signal strength: 🟡 Moderate — Docs site growing, research papers accumulating, but no deliberate content strategy.

We’re producing significant written output — research papers, field reports, technical guides — but there’s no systematic approach to turning this into external visibility for #B4mad. goern’s blog at görn.name is an underutilized channel.

Why it matters: In an agent-first world, credibility comes from demonstrating working systems and publishing learnings. Our competitive advantage is that we’re doing this, not just theorizing.

Potential Key Results:

  • KR: Publish 2 blog posts on görn.name drawn from our research and operational experience
  • KR: Achieve 10+ external citations or shares of published #B4mad content
  • KR: Establish a monthly “Axiom Dispatch” — a curated summary of what we learned and built

Evidence:

  • 12+ published docs covering agents, DAO, ops, research
  • 4 research papers in docs/research/
  • Active field reports from real deployment experience
  • The “Outcomes, Outputs, Results” framework — a publishable Erkenntnis in itself

🤖 O-Candidate: Agent Fleet Reliability & Autonomy

Signal strength: 🟢 Strong — Daily operational friction revealing patterns.

Sub-agent failures are a recurring theme. PltOps ran 200+ ls -la commands without accomplishing anything. CodeMonkey struggles with git operations. Deploy scripts fail on nonce management. The fleet needs hardening.

Why it matters: The outcome we want is autonomous operation. The output of deploying agents is necessary but insufficient — they need to reliably produce results.

Potential Key Results:

  • KR: Achieve 80% sub-agent task success rate (currently ~50%)
  • KR: Implement containerized execution environments for build tasks (Podman)
  • KR: Create agent-specific runbooks/playbooks that reduce failure modes
  • KR: Establish automated retry logic with escalation (agent fails → different agent → main agent → human)

Evidence:

  • PltOps Node.js alignment failure — memory/2026-02-22.md
  • Multiple CodeMonkey deploy failures (nonce handling, git operations)
  • “Goern-Axiom Feedback Loop” pattern — tactical failures → strategic improvements

🌐 O-Candidate: Multi-Chain Deployment Strategy

Signal strength: 🟡 Moderate — Emerged from Status Network experience.

Our attempt to deploy on Status Network revealed that “EVM-compatible” is a spectrum. As #B4mad targets multiple chains, we need a deliberate strategy for which chains to support and how to handle compatibility.

Why it matters: The DAO should be where the community is. Locking into a single chain limits reach. But multi-chain support has real engineering costs.

Potential Key Results:

  • KR: Evaluate 3 L2s for production deployment (Base, Status Network, Linea) with compatibility matrix
  • KR: Create a chain compatibility test suite (PUSH0, MCOPY, gas model)
  • KR: Deploy DAO contracts to 1 production chain

Evidence:

🔐 O-Candidate: Security-First Agent Architecture (Formalize)

Signal strength: 🟡 Moderate — Philosophy documented, but not yet operationalized as measurable objectives.

We talk about security-first extensively in SOUL.md and have a published research paper. But there’s no formal OKR tracking our progress toward actually implementing these principles end-to-end.

Why it matters: This is our thesis — that you don’t have to choose between usefulness and safety. We should be measuring how well we live up to it.

Potential Key Results:

  • KR: Complete security audit of all agent tool access (allowlists, credential scoping)
  • KR: Implement audit logging for all sensitive operations (secret access, external communication)
  • KR: Publish a “Security Scorecard” that tracks our posture monthly

Evidence:

How to Promote

When an emerging objective has enough momentum and strategic alignment, it gets promoted into the active OKR set. Criteria:

  1. Signal strength is 🟢 Strong — real work is happening, not just ideas
  2. Outcome is clear — we can articulate what changes if we succeed
  3. Key Results are measurable — not just activity metrics
  4. Resources are available — agent fleet + human attention can support it

This backlog is maintained by Brenner Axiom and reviewed during bi-weekly OKR check-ins.