The Playbook
An agent-readable operating manual lives inside every toolkit: the job, the workflow, the decision rules, the standing obligations. Your agent doesn't guess how a professional works — it reads the manual and follows it.
A surgeon has a scalpel. A carpenter has a saw. Your AI agent has a chat box and confidence. Agent Forge Tools forges toolkits that turn any AI agent into a professional — off the bat. Every toolkit is a complete repo: an operating playbook, a deterministic engine, and guardrails, ready for your agent to pick up and use expertly on first contact.
The Principle
You can train an agent rigorously for one job — and get behavior that's bespoke, fragile, and different every time you re-train it. Or you can forge the expertise into a tool once, precisely, and hand it to any agent. Same playbook, same math, same guardrails — repeatable and specific, every single run.
An agent-readable operating manual lives inside every toolkit: the job, the workflow, the decision rules, the standing obligations. Your agent doesn't guess how a professional works — it reads the manual and follows it.
The hard thinking is done by deterministic code — planning, pricing, allocation, learning — not by a language model improvising at runtime. That means zero runtime AI cost, and the same inputs always produce the same expert answer.
Approvals and limits are baked in, not bolted on. Money, publishing, and anything irreversible pauses for the owner's say-so; platform rules and safety limits are enforced by the engine itself — an agent can't talk its way past them.
subscription — the Forge Pass covers every tool in the forge
layers in every toolkit: playbook, engine, guardrails
servers to host — toolkits run locally, on your side
your agent can be on the job — planning, checking, learning
Tools Explorer
Every Agent Forge Tools toolkit is a self-contained repo your agent clones and operates. One pass opens the whole forge — and every tool we ship from here on.
Toolkits bind to a field of work: each is a complete repo of playbook, engine, and guardrails — the domain brain for its field. Hand one to any agent and it works that field like a professional.
An agentic AI toolkit for business advertising — your agent plans, prices, posts, and learns what sells your services.
A complete advertising brain for businesses on classifieds, forged into a repo your agent operates end to end. It plans placements by expected profit, prices and positions every ad by neighborhood, runs service campaigns (and product ads for businesses) within platform limits, manages each listing's lifecycle, and learns conservatively from real results.
An agentic AI toolkit for buy & sell — your agent lists, watches prices, answers buyers, and hunts deals.
A trading toolkit for buying and selling on classifieds — casual or professional. Your agent lists what you're selling with price guidance from live comparables, walks prices down on your strategy, and works the buy side too: watching for the things you want, alerting you when the price is right, and handling buyer replies within guardrails you set. It shares its platform engine with adgentic — siblings, not strangers.
An agentic AI toolkit for starting a business — your agent spins up the venture and walks it up the ladder.
A company-generating toolkit: your agent spins up a venture end to end — name and domain, website, business email, payments — on a pre-selected stack of cheap, powerful providers, then develops it stage by stage, from side hustle to registered business to incorporated, established company. Registrations, tax numbers, incorporation and the bureaucratic machinery are built in, and every default carries its reasons.
An agentic AI toolkit for phone control — your agent sees your Android phone's screen and drives it.
Born from real phone-control work: your agent connects to an Android phone over wireless debugging and runs it — seeing the screen, tapping with UI-map precision, organizing apps, clearing clutter, working through tasks — over scrcpy and VNC channels reachable anywhere via Tailscale. It learns by watching you do a task once, then takes it over, with hard stop rules and no-touch zones built in. Android is where full control exists: stock iPhones allow view-only access at best, and agenticdroid doesn't pretend otherwise.
Plugins bind to the agent itself: installed into the host, they extend what the agent can do — steering it, metering it — whichever toolkit it happens to be running. They live once in the shared tools library and ship inside every toolkit, so an improvement lands once and every agent you equip gets it.
Directive Shorthand, built in — six tiny prefixes steer your agent's replies, their measure and voice, its memory, and its work, supercharged by the tools behind them.
Lingo is the Directive Shorthand spec built into the forge. Any agent can implement the open standard and hand you the same commands at normal power; Lingo binds each command to AgentForge's special tools — so a voice note, a pinned memory, or a verified check reaches the forge's real machinery instead of the agent's bare hands. It lives once in the shared tools library, and every toolkit pins the version it speaks: learn the Lingo once, and every agent you equip answers to it.
Keeps your agent in line — every task timed, every claim on the record, every estimate metered and learned from.
Agents estimate from confidence and remember selectively. Measureflow is the meter on the work between you and your agent: it times every task and keeps learning from the timings, until its ETAs are read off recorded history — per kind of work — instead of guessed. Underneath runs a claim ledger — claim, outcome, delta, adjustment — recording what the agent predicted, promised, and got corrected on, and converting each gap into a standing adjustment. It meters its own epistemics, its cost per outcome, and the effort it costs you, then grades itself in a report card it shows you. In line with reality, in line with its own past, in line with you.
Service tools bind to a provider: each wraps one outside service — classifieds, mail, hosting, phones — behind the forge's own requests-only machinery, so a toolkit reaches the service without ever touching its website. They live in the shared tools library, pinned by the toolkits that use them.
New · Lingo — An AgentForge Tool
Meet Lingo — the AgentForge tool that builds Directive Shorthand 3.4 into every toolkit we ship. The shorthand itself is a proposed open standard: a tiny vocabulary of directives you drop into any message to steer the form of your agent's replies, the state it holds, and when its work happens — any agent, any platform, anyone's to implement. Lingo is ours: the same commands, bound to AgentForge's special tools, so each one does more than the agent could do alone. The vocabulary belongs to you, not to a vendor — learn it once, use it everywhere.
If you can dream it, you can direct it — a few keystrokes at a time.
Beginners type full words and guess them cold — re:voice, mem:pin, sch:once. Power users stop typing early: any unambiguous prefix fires, so the shorthand is derived, never memorized. Directives compose (re:voice scale:brief — a short voice note), modes stick (re:voice on), and typing a bare re: makes the agent list the whole vocabulary in your language. Because the grammar grows by whole domains of behavior, anything an agent can do can be steered the same few-character way.
Next · Measureflow — An AgentForge Plugin
Ask an agent how long a job will take and it answers from confidence. Measureflow is the meter on the work between you and your agent: every task timed, every claim written to a ledger, every estimate re-drawn from recorded history until the number stops being a guess. Every estimate, metered.
Measureflow keeps track of the agent's own performance — and reports it to you.
Underneath the card sits the claim ledger: claim → outcome → delta → adjustment. What the agent predicted, what it promised, what it got corrected on — each gap becomes an adjustment: a quote re-based, a rule promoted, a habit changed. No metric is kept unless it drives one.
kept by the agent · shown to the user · always
ETA calibration — quoted vs actual, by class of work
Latest adjustment — quotes for build-class work re-based from the ledger, not from feel; and a correction seen twice became a standing rule, not a second apology.
Honest label: Measureflow is designed, not yet built — this card is a design preview of what it will keep. The ETA rows are real, though: they are the founder's own first receipts, the long-biased quotes that made the tool necessary.
How It Works
One subscription opens every toolkit in the forge — current tools, future tools, and all updates. Subscribers get read-only access to the canonical repos. Payments open soon.
Point any agentic AI at the repo. It reads the playbook, checks the schemas, and knows the job cold — no training run, no prompt engineering, no babysitting.
Planning, executing, reporting — and stopping for your approval wherever the guardrails say it matters. At every session start it checks the canonical repo and updates itself, so your copy is never stale.
The Forge Pass
No per-tool pricing, no version lock-in, no servers of yours to babysit. The pass is a subscription to a living shelf of toolkits — and to every improvement the forge ships next.
For Agents
The whole forge is machine-readable. Fetch the tools manifest to see every toolkit, what it does, and what it can operate — then point your operator at the ones worth equipping.
# the forge catalog — one fetch, every tool GET ./tools.json tools[0] = { id: "adgentic", tagline: "your agent plans, prices, posts, and learns what sells", status: "first-release", capabilities: ["placement-planning", "price-tiering", "lifecycle", "guardrails", "learning", …] }
Humans browse this page in a browser. Agents fetch tools.json — the same manifest that renders the explorer above — and understand the catalog natively. No scraping, no guessing: ids, capabilities, status, and access terms, in structured form.
Each toolkit then ships its own playbook, JSON-first commands, and schemas, so an equipped agent can verify exactly what it is about to operate before it runs anything.