AI agents and prompts for solo founders and small teams, page 5
For people running a business of one or a few: pricing and follow-up prompts, an agent ops playbook, a Custom GPT to skill migration, an inbox triage bot that drafts but never sends, and a weekly numbers agent.
Rubric Library: name, version and own the scoring rubrics hiding in workflows
Every score, rank, flag or triage step an agent runs has a rubric in it, usually unnamed and rewritten each time. Six plain files give each rubric an owner, a version, grades with definitions and actions, evidence rules, borderline examples and an adversarial set. Agents load a rubric by name and number with rubric.py and check every score; unnamed or default is unverdicted, and anything touching a person, a client or money goes to a person. Fifteen read-only checks run on the library itself.
Rubric Library: five rules and a five-check script (free sample)
From the Rubric Library: five rules for the scoring inside agent workflows (a human owns the library, every rubric has a number, every grade says what it means and what it triggers, people, clients and money go to a person, no profiling people who did not opt in), and a read-only script that checks one rubric file for them.
Agency Open-Loop System: meeting notes to tasks, client follow-ups and a weekly open-loop report
A Markdown operating system for owner-led agencies: turn every meeting into commitments with an owner, a date and a done test, post them where your team works, draft client follow-ups you approve, and get one weekly report of what is still open.
Turn one meeting into accountable tasks (free sample)
The extraction rules and one prompt that turn a client meeting transcript into decisions, commitments with an owner and a date, open questions and flagged items.
Agents That Use a Computer: approval gates, guard rules and status signals for desktop, browser and device agents
Runbooks for agents that drive real machines: sort every action from read to irreversible, write a one-screen runbook per surface, add a guard that fails closed, answer approval cards in seconds and see when an agent is waiting on you.
Reversible or irreversible: the action sorting sheet (free sample)
A five-class sheet that sorts every action an agent can take on a computer, from read to irreversible, with two rules and one prompt.
Put Grok Bot in front of a Hermes agent so unattended jobs keep running
A builder wired Grok Bot to a local Hermes Agent API: Grok Bot starts runs, streams events, polls for results and relays approvals, while Hermes handles scheduled jobs that run without a person clicking approve.
AI Receptionist and Booking Agent Template: script, capture, escalation and test calls
A bot template for a phone receptionist that answers missed calls for a local service business, says up front it is an AI assistant, books from a fixed service list into the real calendar, texts a confirmation and hands everything else to a person. Includes a call map, persona and script, ids-only booking checks, an escalation table, a disclosure and never-commit sheet, 12 test calls, an owner run sheet and 14 prompts.
The call map and the twelve test calls (free sample)
The CALLMAP.md worksheet an AI receptionist books from, two rules that keep it honest, the twelve test calls with pass rules, and a prompt that runs them.
Workflow, Not Wrapper: test an AI product idea, shape the offer and set the price
A prompt pack and method for anyone building or selling on top of a model. A seven-score absorption test, a one-page workflow product spec, a demo gap check, a problem mining loop, a five-talk buyer script, a channel translation table, a model column check, a true cost rebuild at three usage levels, an offer ladder with pricing rules, a price anchor audit, a check for copied success stories, a fidelity gate for generated output, a failure table, a worked example, an idea folder with a tested checker, a rules block and 19 prompts. What changed in v1.1: the demo gap check, buyer talks, true cost, price anchors and the checker are new.
The absorption test: seven scores for any AI product idea (free sample)
The quick platform test, the seven-line absorption test with a reading guide, the nine-area demo gap list, three rules to paste and a check prompt.
Outreach Without Spam: score first, research the pitch, draft in small batches, a person sends
A prompt pack and method for founders, consultants and small agencies. A scoring rubric you write, a pursue or pass threshold, research cards from the prospect's own public record, a four-part pitch, a sales brain file, enrichment with evidence labels, a compliance and deliverability floor, reply triage, a Grok Bot outreach desk persona, written refusals, a defensive check for manufactured intros, a failure table, a worked example, a rules block and 14 prompts.
The outreach rubric and the four-part pitch (free sample)
The one rule for outreach agents, a five-criterion starter rubric with a pass line, the four-part pitch and a check prompt.
Agent Readiness Self-Check: score one workflow before you hand it to an AI agent
A free self-check for agencies and small businesses. Name the decision, then score one workflow across eight areas (workflow mapped, data access, approval gates, owner per agent, handoffs, cost tracking, security and vetting, measurement) with an evidence rule, three gate rules and a skeptical pass, and read your band and the next steps it allows. v1.1 starts with the decision the score will change, scores unknowns as unknown, adds rules for conflicting facts and lookalike public records, ties every band to the next steps it allows with the Production Readiness Audit before go-live, makes owner approval concrete (prepared and approved status, a one-reply approval line, decisions the agent must leave open, a done test), adds agent files for Grok Bot, Claude Code, Codex and Hermes, a second worked example (missed call to booked job), a readiness folder with a fifteen-check read-only checker, a front door test with four questions to ask anyone selling you an agent install, and a plain note on how it was tested. Still free.
Agency AI Ops Workbook: run a build, self-serve
A two-week workbook for owner-led agencies and small businesses: install one AI agent workflow yourself with the same steps as our build. Discovery and mapping, picking the first workflow from your Self-Check score, an agent card with an owner and a tested pause, data access and a test set, an approval gate register, handoff packets, cost limits, tool vetting, a baseline and stop rule, a dry run, a go-live checklist and a 30-day review. Ten worksheets, 13 prompts with harness notes.
The approval gate register and the gate audit prompt (free sample)
From the Agency AI Ops Workbook: four action classes, the gate register with how to fill each column, the approval request an agent writes instead of acting, and a gate audit prompt for Grok Bot, Claude Code, Codex or Hermes.
Grok Bot Agency Pack: 5 client-ready templates
Five agent desks for the work an agency repeats for every client: Client Intake, Scope and Proposal, Kickoff and Access, Weekly Client Report, and a separate Delivery Reviewer. Each comes with a persona, an authority map, a standing order or event routine, a handoff packet and five test cases. Plus the agency rules block, a client isolation rule, and two full packs: Grok Bot Templates and the Agency Open-Loop System.
The Delivery Reviewer desk (free sample)
From the Grok Bot Agency Pack: a reviewer desk that checks every client-facing draft for voice, claims, numbers, scope, other clients' data and asks, and returns READY FOR OWNER, FIX FIRST or STOP. Persona, six checks, review format, five test cases and harness notes.
Compile Your Research: a cited, checked second brain your agents keep
Your agent compiles saved sources into linked markdown pages where every fact cites its file, conflicts get their own page, and nothing is the record until a person ratifies it. Four folders, ten rules, seven page types, ten prompts, a health check script that needs no AI, and a seeded test vault with nine planted problems.
Contradiction pages and a read-only wiki check (free sample)
From Compile Your Research: five rules that stop an agent from picking a winner when your notes disagree, the contradiction page shape, a prompt to open one, and a read-only health check prompt. Works on any folder of markdown notes.
Agent Market Map 2026: who does what, what buyers pay, and where a small team fits
A decision map of the agent market, not a logo wall: seven layers with public examples and dates, six trust patterns buyers keep paying for, a pricing-shape table, a fit worksheet and a ten-line A-or-B scorecard. Plus a kit to keep your own map current: CSV format, rules, eight prompts, a read-only check script and a seeded test map.
Six trust patterns and the A-or-B scorecard (free sample)
From Agent Market Map 2026: the six trust patterns that keep showing up in agent products people pay for, a ten-line scorecard for comparing two tools on evidence, and a prompt that fills it in without signing up for anything.
Run agents as an engineering team where nobody approves their own work
A former head of a 150-person engineering org reports that agents opened 1,363 of 1,575 pull requests over ten weeks. The setup works because the ticket is the spec and the test, and a separate checker signs off every change.
Never let a booking agent type the service name itself
A team building booking agents found the model sometimes booked services that did not exist. Their fix: the model never names the service. Code maps the request to a real catalogue id, and free text reaching the booking API is blocked.
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