Be Like Percy
Where Jev makes EosHQ faster: categorising requests, choosing Agents and recognising automation, with measured time and model-cost savings.
Read articleIdeas, examples, and plain-English guides for teams building with EosHQ
See how agents, conversations, skills, tickets, and project workflows (among other things) actually work in practice.
A Cancer Vaccine with a Batch Size of One - thanks to AI
How AI helps researchers recognise patterns, select targets and coordinate the production of a personalised cancer vaccine.
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Build an EosHQ Pack for an Industry You Know
See where the shared EosHQ platform ends, where an industry Pack begins, and how a specialist partner can turn a repeatable operating model into a product.
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How EosHQ Internationalization Works
The architecture behind eight interface languages, clear preference rules, localized email, and shared operating data.
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Let’s Try That Again
A simulation that reports “completed successfully” has told you nothing you can act on. Five things a rehearsal has to show before you let an agent run.
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Build an Executive Update From Operating Evidence, Not Memory
Two capable people given the same week produce different updates. Three disciplines turn assembly from an act of memory into an act of evidence.
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A Capacity View Is Not Yet a Staffing Recommendation
An empty square tells you someone is free, not that they should take the work: qualification, disturbance, and who is entitled to accept the trade-off.
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Ticket Automation Needs Triage, Ownership, and Escalation Rules
Automation cannot answer questions your team has never settled: triage, ownership with a clock, and escalation, plus the line automation should not cross on its own.
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The Eight Handoffs From Time to Money
Eight handoffs carry approved time to a delivered invoice, each needing an owner, a readiness rule, an exception path, and a next decision.
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No One's Looking Forward to Time Tracking On A Friday Night
Six practical controls make time tracking easier for users while preserving approval and a dependable handoff to billing.
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Make Status Meetings about “Decide,” not “Detect”
Complete the project-health analysis beforehand, bring the exceptions with evidence, and use the meeting for decisions.
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The Seven Controls for Agent Governance
A practical test for making an Agent's intent, process, capabilities, simulation, approvals, run evidence, and change control visible.
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Why Simulation Matters Before You Let an Agent Run
A plain-English look at why even excellent systems need rehearsal, how other industries use simulation to avoid costly mistakes, and how EosHQ lets teams preview agent behavior without touching production data.
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How EosHQ Estimates Human Effort Saved by an Agent
A direct explanation of what the Impact tab is measuring, how the sliders and presets work, what assumptions go into the estimate, and where the number can still be wrong.
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Agents 101 in EosHQ: Workflows You Write in Plain English
This is the clearest place to start if you want to understand what an EosHQ agent really is. It explains how agents differ from the open-ended AI “agents” most people hear about, how EosHQ turns ordinary instructions into reliable workflows, and how skills and conversations fit into the picture.
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Agents: Power, Autonomy… and a Bit of Chaos
There’s a lot of excitement around “agents” right now. If you read the headlines, they sound almost magical: Systems that think for themselves. Tools that plan, decide, and execute. Software that just… gets things done.
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