Programmable cognition

Make your hardest decisions
typed, governed, and auditable.

Agenticaster is the hosted home for a family of local-first tools that take the work usually buried in spreadsheets and chat transcripts — go-to-market, decisions, and the unknowns underneath them — and turn it into structured, inspectable artifacts you can version, query, and trust.

The smart shouldn't live in a chat window

AI can propose, summarize, and draft — but the reasoning, the evidence, and the decision evaporate when the session ends. There's no record of why, no policy on when to trust it, and no way to ask the same question next quarter and compare.

01

State, not transcript

Decisions, evidence, and open questions live as typed artifacts — git-diffable, queryable, and legible to humans and agents alike.

02

Policy underneath

Every decision carries an explicit policy: when to act autonomously, when to escalate, what evidence is required. No hidden defaults.

03

Trust that's earned

Autonomy that earns more trust as it proves itself — defensible decisions backed by a track record, not blind faith in a model.

How it works

Three steps, the same shape across every tool in the family.

STEP 1

Model the work

Capture the situation, the goal, the constraints, and the evidence as structured artifacts in a single source of truth.

STEP 2

Let cognition flow through it

Agents propose; the runtime gates every step against policy and records an append-only trace of what happened and why.

STEP 3

Decide, audit, repeat

Act with confidence you can defend later — and the more it proves itself, the more it can run on its own.

What's real today

The hosted platform is on its way. The underlying tools are open and local-first — you can run them on your own machine right now. Honest status: all are early (alpha), built and dogfooded in the open.

gtmctlalpha

A CLI-first operating system for go-to-market and customer success. Interviews, experiments, positioning, and decisions as typed artifacts — with citations enforced on anything an AI generates.

intentalpha

A decision runtime. LLMs propose; policy disposes. Every decision is a governed, traceable object — with autonomy that earns more trust as it proves itself.

qsitualpha

Situation modeling that surfaces what you don't know. It detects structured gaps in understanding and asks the next best question — never just a score.

Join the waitlist

Hosted Agenticaster — your team's decisions, governed and auditable, without standing up infrastructure. Leave your email and we'll reach out as early access opens.

No spam. One note when early access opens. — or email hello@agenticaster.com