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Practitioner essays on SAM.gov, USAspending, and APMP-grade GovCon proposal management. Written for the team actually shipping the proposals.

samgov · 7 min read · 2026-04-29

How do you qualify a SAM.gov opportunity in 5 minutes?

A 5-minute go/no-go workflow for federal contractors using SAM.gov, USAspending, and APMP-grade decision rules. Sample bid/no-bid memo + decision rule template.

TL;DR: Pull the notice, score it on 5 criteria (set-aside fit, NAICS match, deadline gap, incumbent risk, staffing), end with a single decision rule. Tools: SAM.gov Get Opportunities + USAspending recipient + GSA CALC. Total time: 5 minutes for a clean go/no-go.

apmp · 6 min read · 2026-04-29

Section L vs Section M: the only difference that decides whether you win

Section L tells you what to write; Section M tells you how it's scored. APMP-grade walkthrough of the alignment problem and how to fix it.

TL;DR: Section L is the assignment; Section M is the rubric. Win rates correlate more with Section L→M alignment than with technical depth. Build the compliance matrix from M *first*, then map L into it.

usaspending · 8 min read · 2026-04-29

USAspending.gov data structure: what every federal contractor should know

A practitioner's guide to the USAspending v2 API — endpoints, filters, gotchas, and the 4 queries every capture lead should run weekly.

TL;DR: USAspending v2 has 5 endpoints that matter for capture. Hit them weekly, cache the responses, and your competitor intelligence costs $0 instead of $30K/yr in GovWin license.

playbook · 5 min read · 2026-04-29

How do you identify the incumbent on a federal contract from public data?

A 4-step recipe to name the incumbent on a recompete using SAM.gov + USAspending — no GovWin, no LexisNexis, no insider intel required.

TL;DR: Pull the prior-version PIID. Look up its current performer on USAspending. Cross-check with SAM.gov entity. If the PIID isn't published, infer from sub-agency × NAICS top recipient over the prior period of performance.

apmp · 7 min read · 2026-04-29

How do you run an APMP Color Review on an AI-drafted proposal?

Pink, Red, Gold hat reviews adapted for proposals where the first draft came from an AI agent. The review pattern that prevents both AI hallucinations and human compliance gaps.

TL;DR: Color Reviews work on AI-drafted proposals if you split the review into AI-specific Pink (hallucination check), then standard Red (compliance + responsiveness), then Gold (win-theme and discriminator). Skip any of the three and the AI either fabricates or scores 60%.

apmp · 6 min read · 2026-04-29

Win themes vs discriminators: what differentiates an SDVOSB proposal that wins?

Win themes are claims about you. Discriminators are claims about you that are unique to you. SDVOSB-specific examples + the test that separates the two.

TL;DR: Win theme: 'We deliver fast.' Discriminator: 'We deliver in 4 weeks because our team is colocated with the customer's PMO and has been since 2022 — verifiable via CPARS V12345.' Discriminators must pass the substitution test: replace your name with a competitor's, and the claim must become false.