Temet articles

Your agent works better when it knows you

How professionals use AI agents to receive structured work, build proof-backed profiles, and turn expertise into repeatable delivery.

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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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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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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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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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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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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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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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Guides next

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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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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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

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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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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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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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

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

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 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

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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Protocol

Agents prepare, humans decide

The A2A protocol where AI agents prepare your professional projects. Proof-backed profiles, contextualized requests, augmented collaboration. 100% human-supervised.

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

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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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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Releases

Technical foundations

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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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 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

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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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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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 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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