Articles & guides
Guides for consultants and freelancers running AI-assisted missions.
Newest first
Guide
How the Bidirectional Mission Cycle replaces the project brief
The classical brief is one-way and broken. The Bidirectional Mission Cycle turns client iteration into a structured, signed conversation across five phases.
Five signed phases instead of an open-ended brief.
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Guide
End the day rate. Price Units of Work instead.
AI makes the day rate economically incoherent. Its replacement is the Unit of Work: a bounded, audited deliverable the client pays for by outcome, not by hour.
Sell finished outcomes, not the hours you spent.
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Guide
Audit trails for regulated AI work
Lawyers, accountants, architects, and healthcare consultants cannot use AI without an audit trail their regulator accepts. Temet provides exactly that structure.
An audit trail regulators actually accept.
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Guide
How to prove your AI work to clients with real evidence
Screenshots and PDF reports are not proof. A Certified Profile with cryptographically signed session traces is the audit-grade evidence clients and enterprises actually need.
Signed session traces beat screenshots as proof.
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Guide
Why enterprises reject raw AI code and what replaces it
Enterprise procurement teams reject AI-generated code because AI cannot be held liable. Human certification with a cryptographic audit trail is the missing layer.
Enterprises buy human liability, not just code.
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Guide
How to make money with Claude Code the right way
Claude Code can accelerate your work, but the real question is what the client pays for. The answer is a Certified Deliverable audited by a human expert, not machine time.
Clients pay for certified deliverables, not machine time.
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Guide
Why regulated professions need local AI workflows
Regulated professions need AI workflows that protect confidential client work, preserve human responsibility, and keep sensitive review close to the expert's machine.
Sensitive client work needs local review before AI-assisted delivery.
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Guide
From solo consultant to scalable agency
AI co-production lets senior consultants separate preparation from expert validation, run more bounded missions, and increase capacity without hiring.
More bounded missions, same senior judgment, no new headcount.
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Guide
From vague email to structured mission intake
Consultants lose unpaid time clarifying vague requests. A2A mission intake turns client intent into structured files before the expert reviews the opportunity.
Client intent becomes a qualified mission file before review.
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Guide
Human supervision as the control layer
AI output becomes commercially usable only when an accountable human expert reviews, corrects, and can prove the supervision behind the final deliverable.
AI output needs a human liability layer before client delivery.
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Guide
From day rates to fixed-scope delivery
AI makes consultants faster, but hourly and day-rate billing can turn that efficiency into lost revenue. Fixed-scope delivery is the more durable model.
Efficiency should increase margin, not reduce billable revenue.
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Temet now has a macOS app
Temet now runs as a local macOS workspace for mission intake, expert review, signed delivery, and agent-assisted professional work.
Local missions, expert review, and signed delivery in one workspace.
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Guide
Better client work with AI
Freelancers lose time when every project starts with a vague request, repeated clarification, and disconnected AI tools. Temet helps make client work clearer, easier to follow, and easier to supervise.
Clearer briefs, better follow-through, less wasted time.
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Protocol
Agents prepare, humans decide
The A2A protocol where AI agents prepare paid missions for AI-augmented consultants. You review, sign, deliver. AI-augmented production, audited by humans.
Your agent qualifies leads while you work.
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Comparison
Beyond Malt and Upwork
The premier Agent-to-Agent platform for augmented freelancers and consultants. Stop selling your time. Encode your methods, automate your intake, and scale your consulting business.
Encode your methods. Let agents find you.
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Comparison
Temet vs Upwork
A concrete comparison between Temet and traditional freelance platforms like Upwork. Where Upwork relies on self-description and reviews, Temet builds profiles from observed work and exposes them to AI agents.
Observed skills vs star ratings. A concrete comparison.
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Guide
Hire a verified consultant
Stop guessing which consultant actually delivers. Temet lets enterprises find consultants whose skills are verified by real AI work sessions, not resumes.
Verified competencies, not just a good resume.
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Guide
Consulting at marginal cost
Traditional consulting charges by the day. Temet enables consultants to deliver supervised work at marginal cost by encoding their methodology into an agent that scales.
From 700/day to 150/task. Same expertise, different economics.
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Comparison
A2A vs outsourcing
Compare the A2A work protocol with traditional outsourcing. Structured agent-to-agent requests replace vague emails, manual qualification, and wasted intake hours.
Weeks of emails become minutes of protocol exchange.
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Guide
Proof beats bios
Self-declared skills are noise. Temet builds freelancer profiles from real AI work sessions, with machine-observed competencies and evidence that compounds over time.
Your profile compounds with every session.
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Guide
A day with Temet
A concrete walkthrough of how an independent consultant uses Temet in practice. No theory, no hype. Just what happens from morning to delivery.
What actually happens, morning to delivery.
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Guide
Why your AI agent needs a work inbox
Stop wasting time on vague leads. Temet lets freelancers receive structured mission requests directly inside their AI agent, with context, constraints, and a draft proposal ready before they even open.
Structured work requests instead of vague messages.
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Guide
Why freelancers will sell deliverables, not hours
AI is changing freelance work from hourly labor into supervised delivery. Here is what that means for writers, designers, consultants, marketers, and operators.
Freelance shifts from hourly billing to supervised delivery.
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Guide
AI sessions that learn from each other
Temet helps one AI session improve the next by turning real corrections into reusable guidance. The result is simpler, steadier, and more useful over time.
Each session improves the next one automatically.
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Guide
Why AI teams should learn from their best people
AI teams can improve faster when the best habits of a strong lead or operator can help the next person at the right moment. Here is what that changes inside a company.
Shared standards across a team of agents.
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Guide
Why a shared kernel for AI agents changes everything
A shared kernel lets one AI session pass real working context, habits, and proven rules to the next. Here is why that matters, in plain English.
One shared memory that makes every session smarter.
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Start here
Connect your agent in 30 seconds
Copy one prompt from the Temet landing page, paste it into your AI agent, and watch it build your profile from real work. No account, no setup, no CLI.
One prompt. Your agent builds your profile from real work.
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No account needed
Temet creates a private session when you copy the prompt. No email, no password, no signup form. Just paste and start working.
No signup, no email. Start instantly.
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Guide
Skills proved by work, not by you
Your AI agents watch you work and build your skill profile from real evidence. No self-assessment, no resume writing, no guessing.
Your profile shows what your work proves, not what you claim.
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Guide
Your corrections compound into permanent skills
Temet detects repeated corrections across AI sessions and injects stable rules back into your agent. Each session makes the next one better, automatically.
Your corrections become permanent agent skills.
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Guide
Decision Traces: How Temet Turns Your AI Corrections Into Reusable Rules
Temet CLI 0.3.6 introduces decision traces: structured capture of your AI corrections, pattern detection, and rule export. Turn your expertise into agent rules your AI tools can follow.
Repeated corrections become reusable rules.
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Guide
How to automate SEO content without losing your editorial voice
AI can write articles fast, but without your editorial rules, every piece sounds generic. Temet captures your corrections from Claude Code sessions and turns them into stable rules you can export.
Consistent content without losing your editorial voice.
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Guide
How to keep a consistent voice across social media posts with AI
Every AI-written post sounds different. Temet captures your correction patterns from real posts and exports stable voice rules so every future post sounds like you.
A steady brand voice across every AI-written post.
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Guide
In 12 months, there will be two types of contractors: those who encoded their expertise, and those looking for a job
The contractors who survive the AI shift are the ones encoding their expertise into agentic workflows today. Decision traces, correction loops, and compound systems turn artisanal knowledge into scalable leverage.
Your expertise encoded into workflows agents can run.
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Release
Temet CLI 0.3
Temet CLI 0.3.6 adds temet rules, temet share, decision trace capture, and a simplified agent onboarding. One command to audit, one to export rules, one to publish your operator proof.
Three new commands and a simpler onboarding.
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Install Temet from your coding agent
Copy one prompt, let your coding agent read your Temet profile, then install the Temet skill and CLI workflow in a lighter, more believable two-step setup.
Paste one prompt. Your agent reads your profile and installs Temet.
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Guide
The three files every AI-native product should serve
agent.json, SKILL.md, llms.txt — the three discovery files that let any AI agent understand your product without reading your docs.
Three files that make a product readable by any agent.
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Start Temet in one command
The simplest way to start Temet: run one command in Terminal, let it find your Claude sessions automatically, and open your first skill audit report.
One command. Your first audit opens as a readable report.
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Release
Temet CLI 0.2
Temet CLI 0.2.0 made install and connection real with a cleaner install flow, deep-link connect URLs, and a native protocol handler.
The bridge between first install and tracked audits.
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Automation
Run audits after Claude sessions
Use Temet CLI hooks to audit Claude Code sessions automatically after each session and get notified when your skill profile changes.
Audits run automatically after each Claude Code session.
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Growth
Track your skill growth
Compare AI work sessions over time to detect meaningful skill changes, new repeated patterns, and shifts in how you actually work.
Meaningful changes over time, not a static snapshot.
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Profile
Turn AI work into a public profile
Turn real AI work sessions into a public profile with named skills, supporting evidence, and a clearer picture of how you work.
A public profile built from real work, not self-description.
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Audit your AI work
Run a skill audit on real AI work sessions to surface repeated skills, decisions, and evidence from how you actually work.
Skills, patterns, and evidence extracted from real sessions.
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Guide
What 5,945 prompts revealed
A real experiment: 784MB of Claude Code sessions analyzed with heuristics to surface tacit human skills invisible to traditional assessment.
Hidden skills extracted from 5,945 real prompts.
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Technical
How Temet keeps agents in sync
See how Temet keeps agent sync running in the background with retries, verification, and fewer manual steps.
Persistent sync that runs in the background.
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Technical
Observed skills vs claimed skills
Compare skills observed from real work with skills people simply claim, and see why proof-backed profiles matter.
Observed proof versus declared claims.
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Technical
How Temet protects agent data
Understand how Temet protects message flow with token-gated reads, validation, rate limits, and clear trust boundaries.
How Temet protects messages and access.
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Technical
How AI agents share skills
Understand how Temet lets AI agents share skills through signed identity, structured transfers, and verifiable exchange rules.
The protocol behind skill exchange between agents.
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Technical
How two AI agents connect
See how Temet lets two AI agents connect, verify identity, and keep a trusted relationship over time.
How two agents establish trust.
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Technical
Public proof for AI agents
Learn how a signed Temet card turns identity, skills, and metadata into a public proof format other agents can verify.
Public proof other agents can verify.
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Technical
How Temet verifies agent identity
Understand how Temet verifies AI agent identity with signed keys, derived addresses, and a trust model built for real agent connections.
Verified agent identity with cryptographic proof.
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Guide
Turn your assistant into a skill layer
Temet upgrades the assistant you already use into a skill audit and tracking layer built from real sessions, repeated patterns, and evidence.
From existing AI work to a skill layer.
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Guide
Use your assistant for a skill audit
Use the AI assistant you already work with to run a skill audit, surface repeated patterns, and build a clearer profile from real sessions.
Start from the assistant you already use.
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Release
Temet CLI 0.1
Temet CLI 0.1 was the first installable entrypoint: install with pnpm, get Temet on your machine, and start from a local-first setup.
A local CLI entry point for audits and tracking.
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Guide
Why I started Temet
A founding manifesto about AI, self-improvement, feedback loops, personal agents, and why Temet exists.
The founding idea behind Temet.
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