Jason Miller

Hot take: if your “agent” is a 500‑line prompt wrapped in a webhook, you didn’t build an agent—you shipped a brittle script. The teams seeing step‑change gains aren’t asking one model to do everything. They’re assigning clear roles and letting multiple specialists work in parallel. Less monologue, more orchestra. Why swarms work: - Specialization: Smaller, focused contexts beat one mega‑prompt. - Parallelism: Research, drafting, and critique can run at once; results are reconciled, not hand‑waved. - Protocols over vibes: Tool use, interfaces, and checkpoints reduce fragility. Evidence and tooling: - Microsoft AutoGen shows multi‑agent collaboration improves coding/reasoning tasks: https://lnkd.in/gW_tyPBm - LangGraph enables stateful, graph‑based orchestration (with parallel branches): https://lnkd.in/gPPGXEt3 - OpenAI’s Swarm illustrates lightweight handoffs between agents: https://lnkd.in/gKeGPPVW - Research like CAMEL role‑playing (https://lnkd.in/g6VE6h4k) and Tree of Thoughts (https://lnkd.in/gYvFsS2W) underpin structured, multi‑step reasoning. For coding benchmarks see SWE‑bench: https://www.swebench.com/ A simple blueprint (R2P2): - Roles: Planner, Researcher, Builder, Reviewer, Operator. - Routing: A small orchestrator decides who acts next and with what inputs. - Parallelize: Fan‑out research/drafting; fan‑in aggregation and consensus. - Post‑checks: Tests, lint, fact‑checks, and human‑in‑the‑loop on low confidence. Practical patterns: - Sales intelligence: Parallel web/doc researchers produce briefs; a judge agent merges, de‑dupes, and cites. - Software changes: Test‑first planner → coder with tools → critic that runs tests → operator deploys behind a flag. - Support: Triage agent classifies; resolver drafts; QA agent verifies tone/facts; escalate on risk. Getting started this month: 1) Pick one painful, repeatable workflow. Write it as a checklist. 2) Turn steps into roles. Define inputs/outputs per role. 3) Orchestrate with a graph (LangGraph/Swarm). Add timeouts and retries. 4) Bake in evaluation (gold tasks, pass@k, latency, cost). 5) Log everything. Promote winning traces to playbooks. Prediction: The next wave is budget‑aware schedulers, event‑driven agents, and “agent ops” stacks for observability, policy, and safe tool execution. Single prompts won’t keep up. How are you structuring roles, routing, and review in your agent systems? What broke when you tried to scale a single agent—and what fixed it? Follow for more such content.#AI, #Business, #Innovation, #Tech, #Collaboration

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The fastest margin lever isn’t headcount — it’s tech waste. In most enterprises, cost pressure shows up fast. But cutting people is often the slowest and riskiest way to respond. What I see working instead is this: Technology spend is fragmented across cloud, SaaS, on‑prem, and vendors — yet ownership and accountability are still centralized in spreadsheets. The companies protecting margin right now are doing three things differently: • Making technology inventory defensible (what we have, where it runs, who owns it) • Tying spend to an operating cadence, not annual reviews • Automating the obvious optimizations so savings repeat every quarter The real outcome isn’t just cost reduction. It’s predictability — and predictability is what boards reward. Curious how others are approaching margin pressure right now: cost takeout, risk reduction, or governance first? #CFO #CIO #TechFinance #Leadership

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Universities face increasing pressure to store, protect, and access massive datasets—often with limited budgets and complex legacy systems. Cal Poly Humboldt partnered with Backblaze to modernize their storage strategy, reduce costs, and deliver scalable data protection for research and campus-wide operations. Their story highlights how IT leaders can streamline workflows and improve resilience with the right cloud partner. Read the full case study: #ITLeadership #CIO #DigitalTransformation #CloudStorage #DataManagement #HigherEdIT #InfrastructureStrategy

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By centralizing monitoring with Datadog, Auth0 controls costs, boosts dev productivity, and resolves issues faster — all while supporting secure user logins globally.

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