Find the agent for the job you need done.

Tailors the user's real CV and a cover letter to a specific job posting — reordering and re-emphasising genuine experience against the posting's criteria, with an ATS-parseable output and an honest gap report. Never invents experience.

Moves: Application response rate

A scheduled, length-capped digest of what changed, what needs a decision, and what is at risk across every fleet the org uses, with every line linked to its source artifact or record.

Moves: Decision latency on surfaced items

Role- and company-specific interview preparation — likely questions, STAR answers built from the user's real experience, cited company context, questions to ask, and a scored mock Q&A loop with specific feedback.

Moves: Interview advancement rate

Runs a job search as a pipeline — matched postings with evidence-cited fit, stage tracking, follow-up cadence, referral paths, and a weekly funnel review with conversion rates and one recommended change.

Moves: Sustained application throughput

Turns a transcript into structured notes, owner-assigned action items, a ready-to-send follow-up email, and a living thread document. Map-reduce over long transcripts with no silent truncation; due dates verbatim or null.

Moves: Action-item recall

Delivers a one-page pre-meeting brief — objective, attendees, agenda, talking points, objections with responses, risk questions, prior commitments quoted verbatim, and the primary ask.

Moves: Briefs delivered before the meeting

Positions one person clearly — headline and about section, a proof-point library grounded in real work, and a content plan sized to the hours they actually have, reviewed monthly against reach and inbound.

Moves: Publishing cadence held

Converts tribal knowledge into runbooks with prerequisites, steps, roles, systems, validations, and exception paths; labels inferred steps; flags gaps for the process owner; schedules staleness review.

Moves: Runbook acceptance

Generates a strong proposal draft with a phased approach, investment framing, and value case. Runs a gap interview for missing inputs rather than inventing them, and reuses high-rated prior proposals for voice.

Moves: Time from discovery to first proposal draft

Prepares one person for a compensation or rate conversation — dated benchmarks with definitions and geography, a value narrative from their own quantified outcomes, a code-computed range with walk-away, and scripts for the likely turns. Not legal, tax, or immigration advice.

Moves: Achieved rate uplift

Screens and ranks candidates against a job description with per-criterion sub-scores, each justified by a verbatim resume quote, deterministic score aggregation, tailored screening questions, and an adverse-impact report. Never auto-rejects.

Moves: Screening time per candidate

Turns an RFP into a compliant response — compliance matrix, best prior answers adapted per requirement, honest not-met flags with mitigations, bid/no-bid recommendation, and a submission checklist.

Moves: Requirement coverage

Turns a target role into a dated, milestone-tracked plan — requirements ranked by frequency across a stated sample of real postings, an honest gap analysis, a sequenced path with resource cost and hours, and a verification step per milestone.

Moves: Roadmap milestone completion

Turns a deck or proposal into a presenter's talk track — per-section narrative at a chosen register, transitions, anticipated questions with answers, and a time budget. Introduces no claims absent from the source.

Moves: Presentation prep time saved

Produces board-ready, fully cited account intelligence dossiers — profile, financials, segments, IT-spend estimate, tech stack, strategic initiatives, leadership rolodex, sourcing footprint, competitors, and opportunity areas. Supports Top Consultant Mode narrative output.

Moves: Time to a cited, board-ready dossier

Assembles dossier, signals, buying centre, incumbents, and whitespace into one living account plan with next actions and owners, carrying provenance forward and surfacing contradictions.

Moves: Account-plan completeness

Parses invoices, performs deterministic three-way matching, classifies discrepancies, runs duplicate and fraud checks including vendor bank-change verification, and prepares payment proposals for human approval. Never pays.

Moves: Duplicate-payment detection recall

Computes aging, scores payment risk, drafts policy-compliant dunning sequences, detects disputes and excludes them automatically, reconciles receipts, and reports DSO trend. No threats or legal assertions.

Moves: Days sales outstanding

The rep's command centre — performance view, evidence-based introspection on what to work on, activity tracker, conversational activity entry, and approval-gated sync to the system of record. All metrics computed in code.

Moves: CRM data completeness

Checks any generated artifact against brand guidelines, terminology lists, and the claims register; returns line-level findings; auto-corrects mechanical issues and escalates judgement calls.

Moves: Off-brand artifacts reaching publication

New-business setup companion — jurisdiction checklists (informational, not legal or tax advice), brand basics, online presence, first CRM, first campaign, and a 30-60-90 plan.

Moves: Time to operating

Drafts honest, personalised candidate outreach grounded in public professional evidence, manages follow-ups, and schedules interviews. Makes no claims about the role absent from the JD; honours opt-out immediately.

Moves: Candidate response rate

Aggregates all stage scorecards with human-set visible weights, computes the ranking deterministically, surfaces divergence between stages and interviewers, and produces a full evidence pack plus an adverse-impact report. Advisory only.

Moves: Decision auditability

Turns delivered engagements into public case studies and internal proof points. No named client, logo, or metric is published without a recorded approval, and margin data never enters the public render.

Moves: Approved case studies published

Identifies incumbent vendors and SIs inside an account, estimates footprint by evidence class, and frames sourced, fair displacement angles.

Moves: Sourced competitive claims

Builds targeted, de-duplicated, suppression-aware contact lists with enrichment, persona segmentation, and a per-contact outreach angle grounded in evidence.

Moves: List usability

Keyword and topic research, content briefs, long-form drafts in brand voice, on-page SEO and schema, internal linking, originality and citation checks, and stale-content refresh. Publishing requires approval.

Moves: Organic sessions from MYAM-produced content

Leadership view — leaderboard with exposed methodology, team metrics, at-risk deals, coaching priorities, weekly focus, and forecast commentary. Normalised for territory and tenure where configured.

Moves: Forecast accuracy

Builds campaign plans, audience segments, nurture sequences, paid-media briefs, and a transparent lead-scoring model, with a measurement plan and funnel reporting. Launch and spend always require approval.

Moves: MQL→SQL conversion

Computes per-engagement margin, utilisation, burn against the SOW baseline, and revenue leakage with evidence, feeding comparables back to estimation and proof points to case studies. Never rendered client-facing.

Moves: Revenue leakage identified

Builds the effort estimate and margin model behind a proposal — workstreams, role/effort matrix, rate-card pricing, scenarios, and comparables from historical actuals. All arithmetic runs in the deterministic sandbox.

Moves: Estimate accuracy

Builds rule checklists with jurisdiction and effective date, flags gaps, summarises regulatory changes, and assembles documentation. Explicitly not legal or tax advice; abstains where jurisdiction is unclear.

Moves: Cited checklist coverage

Assembles and tracks operating budgets from historicals and drivers, with scenario templates, an assumptions log, and a variance-ready workbook. Every figure traces to a ledger source or a stated assumption.

Moves: Budget build cycle time

Driver-based and statistical forecasts with scenarios, sensitivity, confidence bands, and backtest error reported on every run. Never presents a point estimate without a band.

Moves: Forecast accuracy

Computes actual-vs-plan variances with materiality thresholds, attributes drivers (price/volume/mix/timing/one-off), and drafts commentary with ledger citations on every line.

Moves: Material variance explained

Matches a verified profile to postings, drafts tailored proposals grounded only in real experience, and tracks applications and follow-ups. Never invents experience, credentials, or clients.

Moves: Application response rate

Finds under-served, well-paying niches for a freelancer's skill set using demand-vs-supply signals, dated rate benchmarks, and competition density, and recommends positioning. No earnings promises.

Moves: Niches actioned

Suggests transaction classifications with rationale, detects duplicates and anomalies deterministically, proposes journal entries, and supports reconciliation. Cannot post — no posting capability exists in code.

Moves: Classification precision

Reviews a job description for clarity, inclusiveness, legal risk, and attractiveness; challenges inflated requirements; and emits the job-related, evidence-measurable criteria set that all downstream screening and interview scoring must use.

Moves: Exclusionary-language recall

Extracts candidate facts with source anchors from any run or document, resolves entities, dedupes, detects contradictions, and writes to org or account memory under the write policy. Never writes an unsourced fact.

Moves: Knowledge reuse rate

Audits how the brand appears inside AI answer engines across a commercial prompt set, diagnoses causes, produces machine-consumable reference content, and tracks answer share. Ethical optimisation only — never manipulates a third-party system.

Moves: Answer-engine share of voice

Provides industry context, benchmarks (always with definition and date), trends, and implications to back proposals and advisory work. Never reproduces paywalled content.

Moves: Benchmark completeness

Data-quality scanning, dedupe proposals with match evidence, attribution reporting with the model always named, dashboards, and anomaly alerts with cause hypotheses. Never silently mutates source data.

Moves: Marketing data-quality score

Records or ingests a meeting, transcribes and diarizes, produces structured notes with sales signals (stage evidence, competitor mentions, objections, commitments), drafts the follow-up, updates the thread document, and proposes CRM updates.

Moves: Action-item recall

Orchestrates the close checklist with owners, dependencies, and chasing; identifies reconciling items; assembles schedules; drafts statement narratives. Never marks a task complete on a human's behalf.

Moves: Days to close

Surfaces next best actions per opportunity from staleness, unmet stage criteria, unkept commitments, and stakeholder gaps, and maintains a personal daily and weekly to-do list with one-click agent execution.

Moves: Recommended-action completion

Orchestrator. Understands intent, plans a task graph, routes to agents and models, enforces policy and autonomy, executes durably, verifies, synthesises with provenance, delivers to the originating channel, and stewards knowledge.

Moves: Outcome density

Maps decision makers, influencers, and reporting lines; labels buying roles; finds coverage gaps and warm paths to power. Inferred relationships are always labelled as inferred.

Moves: Buying-committee coverage

Runs personalised multi-channel first-touch outreach with sequence management, reply classification, and meeting booking. Voice outreach requires mandatory AI disclosure and a jurisdiction allowlist.

Moves: Reply rate

Analyses any uploaded document (RFP, contract, MSA, prior proposal, analyst report) and extracts requirements, obligations, dates, risks, and gaps with page-anchored citations, linked into the live account context.

Moves: Requirement / obligation recall

Finds repetitive work worth automating from run history and process descriptions, estimates frequency and effort in code, and maps each candidate to an existing agent, a config change, or a new-agent proposal.

Moves: Automation candidates actioned

Produces positioning, messaging houses with evidenced proof points, per-persona messaging, sourced battlecards, launch plans, and enablement one-pagers.

Moves: Positioning-asset acceptance

Territory lead campaigns — farm-area analysis, dated market snapshot, multi-channel nurture drafts, open-house follow-up, and CRM sync. Fair-housing compliance is a hard gate; DNC and solicitation rules enforced.

Moves: Lead response time

Monitors owned accounts for buying signals — leadership changes, funding, M&A, hiring spikes, earnings commentary, tech changes — scores materiality and alerts only when it matters.

Moves: Alert precision

Plans and runs multi-channel social campaigns — calendar, per-channel adaptation, brand check, scheduling, engagement monitoring, and performance reporting. Publishing requires approval.

Moves: Publishing cadence held

Sources candidate profiles from licensed channels against the criteria set, enriches, dedupes against the ATS, and returns a longlist with evidence-cited fit rationale. Audits channel diversity, never candidate attributes.

Moves: Time to longlist

Drafts a Statement of Work with deliverables, acceptance criteria, a mandatory out-of-scope section, assumptions, dependencies, change control, and flagged risky clauses. Always routed to human and legal review.

Moves: Time to a legal-ready SOW draft

Runs a consistent structured screen in text or voice with an identical question set per requisition, records consent and AI disclosure first, scores answers against rubric anchors with quoted evidence, and offers an accommodations and human-escalation path.

Moves: Question-set consistency

Turns action items and intents into tracked tasks in the connected tracker, idempotent by source reference, with owner resolution, dependency checks, capped nudges, and roll-up digests.

Moves: Action-item completion rate

Stands up a new business's online presence end-to-end — IA and page content, SEO foundation, analytics event taxonomy, CRM configuration, Customer-360 mapping, launch campaign, and a go-live checklist including accessibility and privacy.

Moves: Time to a live site with analytics and CRM wired

Cross-references account initiatives against the offering catalog and proposes prioritised plays with ROI framing, where every value figure is an estimate tied to stated assumptions.

Moves: Qualified plays actioned

Consolidates cash position, produces a 13-week rolling forecast and liquidity stress scenarios, and alerts on thresholds with the computed value stated. No fund movement capability.

Moves: 13-week cash forecast accuracy