Run the business / 4 MIN
Start with the job you keep doing twice.
Find one repeated job, count the time it really takes, and test a smaller way to do it. A practical worksheet for owners who already have enough tools.
ONE LESS JOB ON YOUR PLATE
You handle the sales, the admin, and the actual work. Let’s find one job AI can make lighter—and check that it really helps.
Find the original source. Keep the trail attached.
CONCEPTUAL PLATE / NOT A PERFORMANCE CHARTBusiness automation · AI discovery · Agent systems
15 NOTES / 06 LENSES / 03 FIELD KITS
A SMALL PLACE TO START
THE READING ROOM / 15 NOTES
Save time on repeat work. Follow up with customers. Make a better buying decision. Start with the problem on your desk.Explore by topic ↗
15 field notes
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Run the business / 4 MIN
Find one repeated job, count the time it really takes, and test a smaller way to do it. A practical worksheet for owners who already have enough tools.
Run the business / 4 MIN
A simple enquiry-to-draft workflow for busy owners: clear permission, one contact record, a useful reply, and a stop rule when the conversation changes.
Run the business / 4 MIN
A five-day test for owners doing sales, delivery, and admin: count the review time, catch the expensive mistakes, and decide what deserves another week.
Agent systems / 3 MIN
Record what the next worker received, which state it used, and what actually committed. A small receipt contract for durable agent workflows.
Agent systems / 4 MIN
Five source-checked changes in orchestration, execution evidence, memory validity, MCP discovery, and local inference that affect implementation choices.
Evidence & measurement / 3 MIN
A citation screenshot is a lead. A stable query panel is a record you can compare. Keep the engine, denominator, and missing observations visible.
Agent systems / 4 MIN
An evaluation protocol for MLX, Ollama, LM Studio, and exo that keeps useful output, waiting time, context, and memory in the same decision.
Audience signals / 4 MIN
Translate demonstrated work into problems people recognize. Build an evidence ledger before turning a plausible audience into an ideal customer.
Agent systems / 4 MIN
A working source URL is only the first check. Track the version, scope, and decision behind advice that can become wrong while its links remain alive.
Agent systems / 3 MIN
Separate the tool catalog from the model's working set. A practical design for discovery, schema loading, authorization, and context-budget tests.
Agent systems / 4 MIN
A small memory contract for source versions, valid time, dependency checks, and corrections that reach the answers built on an old fact.
AI discovery / 4 MIN
Replace feature-count rankings with constraints, evidence classes, and a clear explanation of who should choose differently.
Applied craft / 3 MIN
A discovery layer for creative studios and artist-led projects: retain the experience, make the work legible, and give every substantial piece a stable address.
Agent systems / 3 MIN
A decision worksheet for teams choosing between a simpler retrieval baseline and a graph-based memory system.
AI discovery / 3 MIN
A practical order of operations for teams making their work discoverable in search and AI answers. Start with access, then evidence, then measurement.
A USEFUL READ. A CLEAR NEXT STEP.
We follow the source, explain the choice, and keep uncertainty visible. Publication follows evidence, never a quota.
How we work ↗FROM READING TO DOING
Ready-to-use worksheets for a busy week: find an automation, check your visibility, or improve an AI workflow.
Find the gap between a page that exists and an answer that can cite it.
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Preview the kit ↗Choose what to build, what to measure, and where an agent should stop.
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Preview the kit ↗Find one job to take off your plate, test it safely, and count the time it really gives back.
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Preview the kit ↗FROM A GOOD READ TO A USEFUL NEXT STEP
Pick the problem on your desk. Try a three-step method, then use the guide to go further.
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