PM 2027

Send your position to a meeting instead of your body — a one-page brief carrying your stances, fallbacks, red lines, tradables, and delegation limits, readable by the colleague (or agent) representing you. Use when you can't attend a decision-making meeting, when double-booked, when briefing someone to negotiate for you, or 'what would you need from me to represent me?'. Produces the clone brief plus a 60-second verbal version for the person carrying it.

Run a tabletop drill of a voice-clone or deepfake fraud attempt — the 'CEO needs this wire today' call — against your actual approval process, before a real attacker does, then debrief the tells and fix the process gap. Use when someone asks to train the team on deepfake fraud, test wire-transfer controls, run a social-engineering tabletop, or 'could we get CEO-frauded?'. Produces a drill scenario pack, a facilitator script, a tells checklist, and the process fixes the drill exposed. Defensive training only.

Study 3-5 samples of the user's real writing and decisions, build an explicit 'how you think' profile, then draft new work as their understudy — always with a 'what I couldn't infer about you' list so the gaps are visible instead of guessed. Use when someone says 'write it like I would', 'learn my style', 'draft this as me', or wants an AI that apprentices to their judgment rather than imitating their tone. Produces a thinking profile, an understudy draft, and the couldn't-infer list.

Offboard an AI agent the way you'd offboard an employee — inventory what it knew and touched, export then purge its memory, revoke every credential and access grant, and write the handover for its successor (human or agent). Use when decommissioning an agent or bot, switching agent vendors, ending an AI pilot, or when someone asks 'what did this thing have access to?'. Produces a severance checklist, an access-revocation table, a memory disposition record, and a successor handover.

Publish 'how to work with me' as a literal API spec — endpoints (what to ask me for and what you'll get back), rate limits (meeting and interrupt tolerance), error codes (what happens when you surprise me Friday 5pm), auth (how to earn trust), and a changelog. Use when onboarding to a new team, when a new manager or report arrives, for a team working-styles session, or 'write my README/user manual'. Produces a personal API spec that's genuinely funny and secretly the best onboarding doc on the team.

Write a sealed memo to your future self or successor — the honest state of things, falsifiable predictions with confidence levels, and the advice you suspect they'll need — with an open-on date and a scoring ritual for when it's opened. Use when leaving a role, finishing a big project, at year-end or planning season, before a leave, or 'write a letter to my successor'. Produces the sealed capsule, its prediction ledger, and the opening-day ritual.

Stress-test a proposed org change before announcing it — simulate who gains, who loses, who blocks, where friction erupts in the first 90 days, and run the memo leak test: how does this land when it leaks before you announce it? Use when planning a reorg, changing reporting lines, merging or splitting teams, moving a function, or 'how will this org change land?'. Produces a winners/losers map, a friction forecast, the leak-test read, and a sequenced announcement plan.

Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.

Declare bankruptcy on a long-lived AI agent's accumulated memory — audit what it currently believes, separate ground truth from stale and wrong, purge deliberately, restate the truths that survive, and log what was lost. Use when an agent keeps acting on outdated facts, contradicts itself across sessions, 'remembers' things wrong, or after a reorg/pivot makes its worldview obsolete. Produces a belief audit, a keep/correct/purge ledger, a restated ground-truth file, and the bankruptcy record.

Decide when and how your product and communications must (or should) label AI-generated content, and write the disclosure policy — surface-by-surface rules, exact label wording, and the review trigger for regulations like the EU AI Act's transparency obligations. Use when asked 'do we have to label AI content', 'write our AI disclosure policy', 'are we covered for the AI Act', or when marketing/support/product start shipping AI-generated output. Produces a disclosure policy with a per-surface matrix and ready-to-use label copy. Not legal advice.